Viralkumar Davra
Impact in
- Immunology top 5%
- Phagocytosis and Immune Regulation
- Immune cells in cancer
- Immune Cell Function and Interaction
- Hepatology top 10%
- Liver physiology and pathology
Papers in
- Immunology 17
- Phagocytosis and Immune Regulation 13
- Immune Cell Function and Interaction 4
- Immune cells in cancer 3
- IL-33, ST2, and ILC Pathways 2
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- Erythrocyte Function and Pathophysiology 4
- Co-authors
- Raymond B. Birge (18 shared papers)Canan Kasikara (7 shared papers)David Calianese (7 shared papers)Ke Geng (7 shared papers)Stanley Kimani (4 shared papers)Sergei V. Kotenko (7 shared papers)Sushil Kumar (6 shared papers)Mariana S. De Lorenzo (5 shared papers)
- Journals
- Molecular Cancer Research (3 papers)International review of cell and molecular biology (2 papers)Cell Communication and Signaling (2 papers)Cancer Research (2 papers)Cell Metabolism (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Viralkumar Davra
20 papers receiving 848 citations
Peers
Comparison fields: 5 of 77
- Immunology 533
- Hepatology 74
- Oncology 169
- Epidemiology 166
- Cancer Research 67
Countries citing papers authored by Viralkumar Davra
This map shows the geographic impact of Viralkumar Davra'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 Viralkumar Davra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viralkumar Davra more than expected).
Fields of papers citing papers by Viralkumar Davra
This network shows the impact of papers produced by Viralkumar Davra. 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 Viralkumar Davra. The network helps show where Viralkumar Davra may publish in the future.
Co-authors
The 25 scholars most cited alongside Viralkumar Davra, 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 | 2019 | 192 | |
| 2 | 2017 | 105 | |
| 3 | 2019 | 93 | |
| 4 | 2020 | 61 | |
| 5 | 2016 | 56 | |
| 6 | 2021 | 50 | |
| 7 | 2018 | 48 | |
| 8 | 2017 | 40 | |
| 9 | 2019 | 37 | |
| 10 | 2020 | 29 | |
| 11 | 2016 | 25 | |
| 12 | 2018 | 23 | |
| 13 | 2017 | 23 | |
| 14 | 2022 | 19 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2023 | 8 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 3 | |
| 20 | 2021 | 2 |
About Viralkumar Davra
Viralkumar Davra is a scholar working on Immunology, Physiology, Infectious Diseases, Molecular Biology and Oncology, having authored 20 papers that have together received 850 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (13 papers), Erythrocyte Function and Pathophysiology (4 papers), Immune Cell Function and Interaction (4 papers), COVID-19 Clinical Research Studies (3 papers), Immune cells in cancer (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Autophagy in Disease and Therapy (2 papers) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Immunology (533 citations), Hepatology (74 citations), Oncology (169 citations), Epidemiology (166 citations) and Cancer Research (67 citations). Viralkumar Davra has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Raymond B. Birge, Canan Kasikara, David Calianese, Ke Geng, Stanley Kimani, Sergei V. Kotenko, Sushil Kumar, Mariana S. De Lorenzo, Igor Shmarakov and Raymond T. Chung. Their work appears in journals such as Molecular Cancer Research, International review of cell and molecular biology, Cell Communication and Signaling, Cancer Research and Cell Metabolism.
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.