Pritam Das
- Biological Psychiatry top 0.5%
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms 16
- Neurological diseases and metabolism 4
- Physiology top 0.2%
- Alzheimer's disease research and treatments 42
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases 11
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 6
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- Drug Transport and Resistance Mechanisms 9
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- Prion Diseases and Protein Misfolding 8
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- T-cell and B-cell Immunology 5
- Co-authors
- Todd E. GoldeJason L. EriksenDennis W. DicksonEdward H. KooSascha WeggenSarah A. SagiParamita ChakrabartyCarolina Ceballos‐Diaz
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Pritam Das
75 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Biological Psychiatry 733
- Neurology 2.3k
- Physiology 4.7k
- Pharmacology 1.3k
- Computational Theory and Mathematics 944
Countries citing papers authored by Pritam Das
This map shows the geographic impact of Pritam Das'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 Pritam Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pritam Das more than expected).
Fields of papers citing papers by Pritam Das
This network shows the impact of papers produced by Pritam Das. 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 Pritam Das. The network helps show where Pritam Das may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pritam Das, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2019 | 20 | |
| 5 | 2018 | 15 | |
| 6 | 2018 | 11 | |
| 7 | 2012 | 25 | |
| 8 | 2011 | 94 | |
| 9 | 2011 | 62 | |
| 10 | 2011 | 104 | |
| 11 | 2010 | 156 | |
| 12 | 2010 | 38 | |
| 13 | 2009 | 41 | |
| 14 | 2008 | 159 | |
| 15 | 2007 | 60 | |
| 16 | 2006 | 103 | |
| 17 | 2005 | 228 | |
| 18 | NSAIDs and enantiomers of flurbiprofen target γ-secretase and lower Aβ42 in vivobreakdown → | 2003 | 502 |
| 19 | 2000 | 42 | |
| 20 | 1999 | 27 |
About Pritam Das
Pritam Das is a scholar working on Neurology, Physiology and Biological Psychiatry, having authored 80 papers that have together received 7.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (42 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Drug Transport and Resistance Mechanisms (9 papers), Prion Diseases and Protein Misfolding (8 papers), Computational Drug Discovery Methods (6 papers), T-cell and B-cell Immunology (5 papers) and Neurological diseases and metabolism (4 papers). The work is most often cited by research in Biological Psychiatry (733 citations), Neurology (2.3k citations) and Physiology (4.7k citations). Pritam Das has collaborated with scholars based in United States, India and China. Frequent co-authors include Todd E. Golde, Jason L. Eriksen, Dennis W. Dickson, Edward H. Koo, Sascha Weggen, Sarah A. Sagi, Paramita Chakrabarty, Carolina Ceballos‐Diaz, Steven G. Younkin and Rong Wang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.