Abhishek Das
- Hepatology top 1%
- Immunology top 2%
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 7
- Immune Response and Inflammation 5
- T-cell and B-cell Immunology 4
- interferon and immune responses 2
- Epidemiology top 5%
- Hepatitis B Virus Studies 5
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 and COVID-19 Research 2
- Obstetrics and Gynecology top 10%
- Co-authors
- Mala K. MainiAndre LopesPatrick KennedyAntonio BertolettiClaire DunnMaurizia Rossana BrunettoPietro LamperticoBalthasar A. Heesters
- Cited by
- HepatologyImmunologyEpidemiology
- Journals
- Journal of Clinical Investigation (1 paper)Nature Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Abhishek Das
27 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 92
- Hepatology 588
- Immunology 942
- Epidemiology 852
- Infectious Diseases 172
- Obstetrics and Gynecology 69
Countries citing papers authored by Abhishek Das
This map shows the geographic impact of Abhishek 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 Abhishek Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Das more than expected).
Fields of papers citing papers by Abhishek Das
This network shows the impact of papers produced by Abhishek 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 Abhishek Das. The network helps show where Abhishek Das may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abhishek 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 74 | |
| 9 | 2017 | 78 | |
| 10 | 2017 | 79 | |
| 11 | 2016 | 119 | |
| 12 | 2016 | 68 | |
| 13 | 2015 | 217 | |
| 14 | 2014 | 11 | |
| 15 | Role of apoptosis-inducing factor (Aif) in the T cell lineage. | 2013 | 6 |
| 16 | 2012 | 13 | |
| 17 | 2010 | 41 | |
| 18 | 2010 | 2 | |
| 19 | 2008 | 201 | |
| 20 | 2008 | 177 |
About Abhishek Das
Abhishek Das is a scholar working on Immunology, Infectious Diseases and Epidemiology, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (7 papers), Immune Response and Inflammation (5 papers), Hepatitis B Virus Studies (5 papers), T-cell and B-cell Immunology (4 papers), Viral gastroenteritis research and epidemiology (2 papers), interferon and immune responses (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Hepatology (588 citations), Immunology (942 citations) and Epidemiology (852 citations). Abhishek Das has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Mala K. Maini, Andre Lopes, Patrick Kennedy, Antonio Bertoletti, Claire Dunn, Maurizia Rossana Brunetto, Pietro Lampertico, Balthasar A. Heesters, Michael C. Carroll and Dimitra Peppa. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and Nature Communications.
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.