Devika Kapuria
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Hepatitis Viruses Studies and Epidemiology
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
-
- Liver Disease Diagnosis and Treatment 7
-
- COVID-19 Clinical Research Studies 4
- Co-authors
- Christopher Koh (7 shared papers)Rahul Shekhar (4 shared papers)Varun Takyar (5 shared papers)Pallavi Surana (5 shared papers)Shubhra Upadhyay (3 shared papers)Mriganka Singh (1 shared paper)Suman Pal (1 shared paper)Eileen Barrett (1 shared paper)
- Journals
- Journal of Hepatology (3 papers)Hepatology (2 papers)JAMA Internal Medicine (2 papers)The American Journal of Gastroenterology (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesIsraelHong Kong
In The Last Decade
Devika Kapuria
26 papers receiving 420 citations
Peers
Comparison fields: 5 of 58
- Hepatology 132
- Health 90
- Modeling and Simulation 27
- Infectious Diseases 95
- Epidemiology 163
Countries citing papers authored by Devika Kapuria
This map shows the geographic impact of Devika Kapuria'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 Devika Kapuria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devika Kapuria more than expected).
Fields of papers citing papers by Devika Kapuria
This network shows the impact of papers produced by Devika Kapuria. 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 Devika Kapuria. The network helps show where Devika Kapuria may publish in the future.
Co-authors
The 25 scholars most cited alongside Devika Kapuria, 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 | 2021 | 104 | |
| 2 | 2021 | 49 | |
| 3 | 2019 | 47 | |
| 4 | 2018 | 45 | |
| 5 | 2017 | 38 | |
| 6 | 2020 | 32 | |
| 7 | 2020 | 31 | |
| 8 | 2015 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2016 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2022 | 2 |
About Devika Kapuria
Devika Kapuria is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Surgery and Oncology, having authored 28 papers that have together received 424 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (6 papers), COVID-19 Clinical Research Studies (4 papers), Hepatitis C virus research (3 papers), COVID-19 and healthcare impacts (3 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Hepatology (132 citations), Health (90 citations), Modeling and Simulation (27 citations), Infectious Diseases (95 citations) and Epidemiology (163 citations). Devika Kapuria has collaborated with scholars based in United States, Israel and Hong Kong. Frequent co-authors include Christopher Koh, Rahul Shekhar, Varun Takyar, Pallavi Surana, Shubhra Upadhyay, Mriganka Singh, Suman Pal, Eileen Barrett, Saket Kottewar and Abu Baker Sheikh. Their work appears in journals such as Journal of Hepatology, Hepatology, JAMA Internal Medicine, The American Journal of Gastroenterology and British Journal of Haematology.
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.