Debraj Das
Impact in
- Pharmacy top 5%
- Obesity and Health Practices
Papers in
-
- Acute Myocardial Infarction Research 5
-
- Advanced Thermodynamics and Statistical Mechanics 4
- Statistical Mechanics and Entropy 3
- Co-authors
- Sumit R. Majumdar (1 shared paper)Jeffrey Johnson (1 shared paper)Raj Padwal (1 shared paper)Lindsey M. Warkentin (1 shared paper)Shamik Gupta (6 shared papers)Luca Giuggioli (3 shared papers)Sushanta Dattagupta (2 shared papers)Bhabani P. Sinha (2 shared papers)
- Journals
- Journal of Physics A Mathematical and Theoretical (3 papers)Canadian Medical Association Journal (3 papers)Bernoulli (2 papers)Obesity Reviews (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- IndiaCanadaUnited Kingdom
In The Last Decade
Debraj Das
28 papers receiving 317 citations
Peers
Comparison fields: 5 of 87
- Pharmacy 44
- Cardiology and Cardiovascular Medicine 56
- Endocrinology, Diabetes and Metabolism 38
- Physiology 59
- Acoustics and Ultrasonics 2
Countries citing papers authored by Debraj Das
This map shows the geographic impact of Debraj 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 Debraj Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debraj Das more than expected).
Fields of papers citing papers by Debraj Das
This network shows the impact of papers produced by Debraj 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 Debraj Das. The network helps show where Debraj Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Debraj 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 151 | |
| 2 | 2019 | 24 | |
| 3 | 2012 | 20 | |
| 4 | 2022 | 18 | |
| 5 | 2017 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 1997 | 14 | |
| 8 | 2019 | 11 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2014 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2002 | 4 | |
| 14 | 2013 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2020 | 2 |
About Debraj Das
Debraj Das is a scholar working on Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics, Molecular Biology, Artificial Intelligence and Statistics and Probability, having authored 28 papers that have together received 331 indexed citations. Recurring topics across this work include Diffusion and Search Dynamics (5 papers), Acute Myocardial Infarction Research (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Statistical Methods and Inference (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Statistical Mechanics and Entropy (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Pharmacy (44 citations), Cardiology and Cardiovascular Medicine (56 citations), Endocrinology, Diabetes and Metabolism (38 citations), Physiology (59 citations) and Acoustics and Ultrasonics (2 citations). Debraj Das has collaborated with scholars based in India, Canada and United Kingdom. Frequent co-authors include Sumit R. Majumdar, Jeffrey Johnson, Raj Padwal, Lindsey M. Warkentin, Shamik Gupta, Luca Giuggioli, Sushanta Dattagupta, Bhabani P. Sinha, Justin A. Ezekowitz and Mallika De. Their work appears in journals such as Journal of Physics A Mathematical and Theoretical, Canadian Medical Association Journal, Bernoulli, Obesity Reviews and International Journal of Cardiology.
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.