Baoman Li | Neuroanatomy | Best Researcher Award

Published on by Neuroscientists

Prof. Baoman Li | Neuroanatomy | Best Researcher Award

Prof. Baoman Li, China Medical University,  China.

Professor Baoman Li stands at the forefront of contemporary neuroscience and pharmacology, merging deep academic knowledge with impactful translational research. From his foundational training at China Medical University to his postdoctoral work in the United States, he has consistently demonstrated excellence in exploring the physiological and molecular mechanisms of the central nervous system. Currently a Professor and Department Director, his work has revealed novel insights into cerebrospinal fluid transport, neuronal excitability regulation, and bipolar disorder modeling. These discoveries have been featured in top-tier journals such as PNAS, Cell Metabolism, and Molecular Psychiatry.

Profile

Scopus

🎓 Early Academic Pursuits

Baoman Li’s journey into the world of biomedical science began with a strong academic foundation. He pursued his Ph.D. in Medical Pharmacology at China Medical University, where he cultivated a keen interest in the intersection of neuroscience, pharmacology, and toxicology. His early research provided him with an in-depth understanding of neural mechanisms and laid the groundwork for his future innovations. Eager to expand his international experience, he furthered his postdoctoral research at the University of Rochester Medical Center (USA) from 2013 to 2014, where he deepened his expertise in neuropharmacological research.

🧪 Professional Endeavors

Currently serving as a Professor and Department Director at the Forensic Analytical Toxicology Department of China Medical University, Professor Li leads a dynamic team of researchers and scholars. His leadership has not only enhanced academic standards within the department but has also positioned it as a center of excellence in the field of neuroglial research and forensic toxicology. His multidisciplinary approach merges analytical science with neuroscience, significantly advancing our understanding of central nervous system (CNS) function and dysfunction.

🧠 Contributions and Research Focus

Professor Li’s research focuses on cutting-edge discoveries related to neural mechanisms, cerebrospinal fluid dynamics, and neuropsychiatric disorders. One of his landmark studies, published in PNAS (2024), identified ependymal cell-mediated cerebrospinal fluid transport from the CNS to peripheral organs, revealing a critical physiological communication pathway. In another pivotal contribution in Cell Metabolism (2025), he elucidated the role of the NE-FFA-Na⁺/K⁺-ATPase pathway in regulating neuronal hyperexcitability and behavioral arousal. Moreover, his groundbreaking development of a circadian disruption-induced manic mouse model for bipolar disorder research (published in Molecular Psychiatry, 2023) has provided a valuable tool for studying mood disorders and developing new therapeutic approaches.

📚 Academic Publications and Editorial Work

With an impressive academic portfolio, Professor Li has authored and edited three influential books centered on neuroglial science, expanding the literature in this specialized domain. His published works include notable titles with ISBNs: 978-7-117-34321-3, 978-3-030-77375-5, and 978-2-88963-497-2. These contributions serve as essential resources for both emerging and seasoned neuroscientists, offering detailed insights into glial biology, neurochemical interactions, and translational research.

🏅 Accolades and Recognition

Professor Li’s scholarly excellence is widely recognized, as reflected in his H-index of 34 and a total citation count of 3,530 according to Web of Science. His ability to consistently produce high-impact research has made him a respected voice in neuroscience and pharmacology. He has successfully led eight research projects funded by prestigious bodies such as the Natural Science Foundation of China and the Ministry of Education, while also currently heading two additional projects supported by the provincial science foundation.

🤝 Industry and Consultancy Impact

Beyond academic circles, Professor Li has extended his expertise into practical applications through four consultancy projects, bridging the gap between research and real-world forensic or pharmaceutical needs. His ability to translate complex neuropharmacological findings into actionable insights for the industry underscores his role as not only a theorist but also a problem-solver and innovator.

🔬 Legacy and Future Contributions

As a scientist, educator, and leader, Professor Baoman Li continues to shape the future of neuroscience and pharmacological toxicology. His ongoing research and collaborative efforts are expected to yield further breakthroughs in understanding brain-behavior relationships and disease mechanisms. With a legacy already marked by innovation and impact, his future contributions promise to enhance diagnostics, treatments, and preventive strategies for neurological and psychiatric disorders. His commitment to mentoring young scholars and editing academic literature ensures that his influence will resonate across generations of researchers to come.

Publication

  • Title: Cerebrospinal Fluid Enters Peripheral Organs by Spinal Nerves Supporting Brain–Body Volume Transmission
    Authors: Li, Baoman; Xia, Maosheng; Harkany, Tibor; Verkhratsky, Alexei N.
    Year: Not specified (likely 2024 or 2025)

 

  • Title: Anti-seizure effects of norepinephrine-induced free fatty acid release
    Authors: Li, Baoman; Sun, Qian; Ding, Fengfei; Smith, Nathan A.; Nedergaard, Maiken
    Year: 2025
    Journal: Cell Metabolism

 

  • Title: Major depressive disorder: hypothesis, mechanism, prevention and treatment
    Authors: Cui, Lulu; Li, Shu; Wang, Siman; Xia, Maosheng; Li, Baoman
    Year: Not specified (likely 2024 or 2025)
    Type: Review (Open access)

 

  • Title: The periaxonal space as a conduit for cerebrospinal fluid flow to peripheral organs
    Authors: Li, Xinyu; Wang, Siman; Zhang, Dianjun; Xia, Maosheng; Li, Baoman
    Year: 2024
    Journal: Proceedings of the National Academy of Sciences of the USA (Open access)

 

  • Title: Dexmedetomidine improves the circulatory dysfunction of the glymphatic system induced by sevoflurane through the PI3K/AKT/ΔFosB/AQP4 pathway in young mice
    Authors: Wang, Shuying; Yu, Xiaojin; Cheng, Lili; Lu, Yan; Wu, Xu
    Year: 2024
    Journal: Cell Death and Disease (Open access)

 

  • Title: Ketamine administration causes cognitive impairment by destroying the circulation function of the glymphatic system
    Authors: Wu, Xue; Wen, Gehua; Yan, Lei; Lu, Yan; Wu, Xu
    Year: 2024
    Journal: Biomedicine and Pharmacotherapy (Open access)

 

  • Title: Correction to: Ketamine Improves the Glymphatic Pathway by Reducing the Pyroptosis of Hippocampal Astrocytes in the Chronic Unpredictable Mild Stress Model
    Authors: Wen, Gehua; Zhan, Xiaoni; Xu, Xiaoming; Lu, Yan; Wu, Xu
    Year: 2024
    Journal: Molecular Neurobiology (Erratum, Open access)

 

  • Title: Ketamine Improves the Glymphatic Pathway by Reducing the Pyroptosis of Hippocampal Astrocytes in the Chronic Unpredictable Mild Stress Model
    Authors: Wen, Gehua; Zhan, Xiaoni; Xu, Xiaoming; Lu, Yan; Wu, Xu
    Year: 2024
    Journal: Molecular Neurobiology

 

  • Title: Trace metals and astrocytes physiology and pathophysiology
    Authors: Li, Baoman; Yu, Weiyang; Verkhratsky, Alexei N.
    Year: 2024
    Journal: Cell Calcium

 

Conclusion:

Dr. Baoman Li is a strong and deserving candidate for the Best Researcher Award. His innovative research, publication in high-impact journals, and interdisciplinary contributions demonstrate excellence and sustained scientific productivity. While he can enhance his visibility and further define his leadership role, his current achievements are more than sufficient to merit this prestigious recognition.

 

Ali Mehri | Neuroscience | Neuroscience Research Pioneer Award

Published on by Neuroscientists

Dr. Ali Mehri | Neuroscience | Neuroscience Research Pioneer Award

Dr. Ali Mehri Babol, Noshirvani University of Technology, Iran.

Dr. Ali Mehri is a prominent physicist whose academic journey has bridged the fields of solid-state physics, data science, and complex systems. With a Ph.D. in Solid State Physics from the University of Zanjan, his research explores novel interdisciplinary areas such as text mining, complex networks, and thermal and electronic transport in nanostructures. His work, particularly in the application of physical principles to data mining and linguistic studies, has significantly contributed to both theoretical and applied physics. Additionally, his research on the statistical properties of irrational numbers and the connection between Zipf’s exponent and language distribution has broadened the scope of complex systems analysis.

Profile

Google Scholar

Early Academic Pursuits 🎓

Dr. Ali Mehri began his academic journey in physics with a focus on solid-state physics. He completed his Bachelor’s degree in Solid State Physics at Kharazmi University in Tehran, Iran, in 2002. His passion for condensed matter physics led him to pursue a Master’s degree at the Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, where he focused on colloidal monolayers in the presence of periodic light fields. Under the guidance of Professor Mir Faez Miri, he laid the foundation for his future research. In 2008, Dr. Mehri earned his Ph.D. in Solid State Physics from the University of Zanjan, where he studied the role of entropy in text mining under the supervision of Professor Amir Hossein Darooneh. This pivotal research provided him with a unique perspective that blends physics with data science.

Professional Endeavors 💼

After completing his education, Dr. Mehri embarked on a career in academia, where he has established himself as a dedicated educator and researcher. He currently serves as a faculty member at the Department of Physics, Babol Noshirvani University of Technology. His professional journey is marked by his deep involvement in research, teaching, and mentoring students, particularly in the fields of data and text mining, complex networks theory, and nanostructures. Over the years, he has collaborated with various national and international researchers, enhancing the global visibility of his work in these specialized areas of study.

Contributions and Research Focus 🔬

Dr. Mehri’s research interests lie at the intersection of physics and data science. His work on text mining using the Hurst exponent is a significant contribution to the emerging field of applying physical principles to analyze textual data. He has also explored the intriguing topic of irrational numbers by studying statistical distances to determine the order of digits. Furthermore, Dr. Mehri’s research extends to the correlation between Zipf’s exponent and the geographical distribution of human languages, which connects his expertise in complex networks theory with linguistics. His exploration of thermal and electronic transport in nanostructures adds a solid foundation to his contributions in condensed matter physics.

Accolades and Recognition 🏅

Throughout his academic career, Dr. Ali Mehri has received numerous accolades for his research contributions. His work, particularly in data mining and complex networks, has earned him recognition both in Iran and internationally. Dr. Mehri’s research has been cited in various scientific journals, showcasing the relevance and impact of his work in advancing knowledge within his fields. His academic achievements have solidified his reputation as a forward-thinking physicist who bridges the gap between theoretical and applied sciences.

Impact and Influence 🌍

Dr. Mehri’s work has had a profound impact on various scientific communities, particularly in the fields of data mining, complex networks, and nanostructures. By introducing concepts like the Hurst exponent to text mining and exploring the relationships between statistical distances and irrational numbers, his research has influenced not only physics but also the interdisciplinary applications of data science. His contributions to understanding the connection between language distribution and Zipf’s law have opened new avenues for researchers in both physics and linguistics, highlighting the diverse impact of his work across disciplines.

Legacy and Future Contributions 🕰️

As Dr. Mehri continues to push the boundaries of research, his legacy will be defined by his ability to merge complex concepts from physics with innovative methodologies from data science. His future contributions are expected to further enhance the understanding of nanostructures, electronic transport, and complex systems. Moreover, his pioneering work in text mining and the analysis of irrational numbers has the potential to lead to groundbreaking advancements in computational physics and data analytics. As his research evolves, Dr. Mehri’s work will undoubtedly inspire future generations of physicists and data scientists, reinforcing his lasting influence in these fields.

Publication

  • Title: The complex networks approach for authorship attribution of books
    Authors: A Mehri, AH Darooneh, A Shariati
    Year: 2012

 

  • Title: Variation of Zipf’s exponent in one hundred live languages: A study of the Holy Bible translations
    Authors: A Mehri, M Jamaati
    Year: 2017

 

  • Title: A nonextensive modification of the Gutenberg–Richter law: q-stretched exponential form
    Authors: AH Darooneh, A Mehri
    Year: 2010

 

  • Title: Word ranking in a single document by Jensen–Shannon divergence
    Authors: A Mehri, M Jamaati, H Mehri
    Year: 2015

 

  • Title: The role of entropy in word ranking
    Authors: A Mehri, AH Darooneh
    Year: 2011

 

  • Title: Keyword extraction by nonextensivity measure
    Authors: A Mehri, AH Darooneh
    Year: 2011

 

  • Title: Tsallis entropy, escort probability and the incomplete information theory
    Authors: AH Darooneh, G Naeimi, A Mehri, P Sadeghi
    Year: 2010

 

  • Title: Text mining by Tsallis entropy
    Authors: M Jamaati, A Mehri
    Year: 2018

 

  • Title: Power-law regularities in human language
    Authors: A Mehri, SM Lashkari
    Year: 2016

 

  • Title: Non-extensive distribution of human eye photoreceptors
    Authors: A Mehri
    Year: 2017

 

Conclusion

Dr. Mehri’s professional career, marked by teaching and research at Babol Noshirvani University of Technology, has earned him national and international recognition. His research continues to influence fields as diverse as data science, linguistics, and condensed matter physics. Looking ahead, his work promises to advance the understanding of nanostructures and foster the further integration of physics with computational and data sciences. Dr. Mehri’s legacy will likely continue to inspire future generations of scientists, underscoring the importance of interdisciplinary collaboration in driving scientific progress.