Arul Nancy
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Immune responses and vaccinations
- T-cell and B-cell Immunology
- interferon and immune responses
Papers in
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- Tuberculosis Research and Epidemiology 19
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 6
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- Immune responses and vaccinations 6
- Co-authors
- Subash Babu (40 shared papers)Nathella Pavan Kumar (40 shared papers)Kadar Moideen (15 shared papers)Hardy Kornfeld (12 shared papers)Vijay Viswanathan (12 shared papers)Anuradha Rajamanickam (16 shared papers)Shanmugam Sivakumar (8 shared papers)Manoj Vasanth Murhekar (9 shared papers)
- Journals
- Frontiers in Immunology (6 papers)Viruses (3 papers)Journal of Infection (3 papers)Cytokine (2 papers)Scientific Reports (2 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Arul Nancy
37 papers receiving 471 citations
Peers
Comparison fields: 5 of 42
- Infectious Diseases 346
- Immunology 82
- Neurology 17
- Microbiology 4
- Aging 1
Countries citing papers authored by Arul Nancy
This map shows the geographic impact of Arul Nancy'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 Arul Nancy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arul Nancy more than expected).
Fields of papers citing papers by Arul Nancy
This network shows the impact of papers produced by Arul Nancy. 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 Arul Nancy. The network helps show where Arul Nancy may publish in the future.
Co-authors
The 25 scholars most cited alongside Arul Nancy, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2021 | 47 | |
| 3 | 2021 | 41 | |
| 4 | 2020 | 28 | |
| 5 | 2019 | 27 | |
| 6 | 2021 | 24 | |
| 7 | 2018 | 22 | |
| 8 | 2020 | 22 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2019 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2022 | 9 |
About Arul Nancy
Arul Nancy is a scholar working on Infectious Diseases, Immunology, Surgery, Clinical Biochemistry and Microbiology, having authored 42 papers that have together received 481 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Immune responses and vaccinations (6 papers), COVID-19 Clinical Research Studies (6 papers), Kawasaki Disease and Coronary Complications (4 papers), Antimicrobial Peptides and Activities (1 paper), Infectious Diseases and Tuberculosis (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Infectious Diseases (346 citations), Immunology (82 citations), Neurology (17 citations), Microbiology (4 citations) and Aging (1 citation). Arul Nancy has collaborated with scholars based in India and United States. Frequent co-authors include Subash Babu, Nathella Pavan Kumar, Kadar Moideen, Hardy Kornfeld, Vijay Viswanathan, Anuradha Rajamanickam, Shanmugam Sivakumar, Manoj Vasanth Murhekar, Chandrasekaran Padmapriyadarsini and Syed S Hissar. Their work appears in journals such as Frontiers in Immunology, Viruses, Journal of Infection, Cytokine and Scientific Reports.
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.