Nirnath Sah
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 4
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- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Henriette van Praag (5 shared papers)Susan T. Lubejko (2 shared papers)Benjamin Becker (1 shared paper)Julie A. Mattison (1 shared paper)Nigel H. Greig (1 shared paper)Hyo Youl Moon (1 shared paper)Emrah Düzel (1 shared paper)Andreas Becke (1 shared paper)
- Journals
- Bioengineering & Translational Medicine (3 papers)European Journal of Neuroscience (2 papers)Nature Neuroscience (1 paper)Cell Metabolism (1 paper)Advanced Drug Delivery Reviews (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Nirnath Sah
16 papers receiving 762 citations
Nirnath Sah's Hit Papers
Peers
Comparison fields: 5 of 87
- Developmental Neuroscience 125
- Neurology 98
- Physiology 262
- Biological Psychiatry 20
- Rehabilitation 46
Countries citing papers authored by Nirnath Sah
This map shows the geographic impact of Nirnath Sah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nirnath Sah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirnath Sah more than expected).
Fields of papers citing papers by Nirnath Sah
This network shows the impact of papers produced by Nirnath Sah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nirnath Sah. The network helps show where Nirnath Sah may publish in the future.
Co-authors
The 25 scholars most cited alongside Nirnath Sah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Running-Induced Systemic Cathepsin B Secretion Is Associated with Memory Function Hit paper breakdown → | 2016 | 475 |
| 2 | 2019 | 84 | |
| 3 | 2017 | 49 | |
| 4 | 2020 | 31 | |
| 5 | 2021 | 27 | |
| 6 | 2011 | 23 | |
| 7 | 2021 | 14 | |
| 8 | 2023 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2024 | 10 | |
| 11 | 2013 | 10 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2021 | 2 | |
| 16 | 2014 | 2 |
About Nirnath Sah
Nirnath Sah is a scholar working on Neurology, Cellular and Molecular Neuroscience, Genetics, Cognitive Neuroscience and Molecular Biology, having authored 16 papers that have together received 769 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Signaling Pathways in Disease (2 papers), Epilepsy research and treatment (2 papers), Memory and Neural Mechanisms (2 papers), Alzheimer's disease research and treatments (2 papers) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Developmental Neuroscience (125 citations), Neurology (98 citations), Physiology (262 citations), Biological Psychiatry (20 citations) and Rehabilitation (46 citations). Nirnath Sah has collaborated with scholars based in United States, India and China. Frequent co-authors include Henriette van Praag, Susan T. Lubejko, Benjamin Becker, Julie A. Mattison, Nigel H. Greig, Hyo Youl Moon, Emrah Düzel, Andreas Becke, David Berron and Sujatha Kannan. Their work appears in journals such as Bioengineering & Translational Medicine, European Journal of Neuroscience, Nature Neuroscience, Cell Metabolism and Advanced Drug Delivery Reviews.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.