Arvind Nune
Impact in
- Health Informatics top 10%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in ⓘ
-
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 7
- Rheumatology 11
- Co-authors
- Karthikeyan P. Iyengar (13 shared papers)Christopher Goddard (1 shared paper)Pranav Ish (6 shared papers)Mrinalini Dey (3 shared papers)Koushan Kouranloo (2 shared papers)Abhishek Vaish (1 shared paper)Rajesh Botchu (2 shared papers)Bhupen Barman (9 shared papers)
- Journals
- Clinical Rheumatology (4 papers)Lara D. Veeken (2 papers)Tropical Diseases Travel Medicine and Vaccines (2 papers)Life (2 papers)The Lancet Rheumatology (1 paper)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Arvind Nune
37 papers receiving 330 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 13
- Infectious Diseases 123
- Neurology 91
- Rheumatology 75
- Dermatology 27
Countries citing papers authored by Arvind Nune
This map shows the geographic impact of Arvind Nune'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 Arvind Nune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Nune more than expected).
Fields of papers citing papers by Arvind Nune
This network shows the impact of papers produced by Arvind Nune. 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 Arvind Nune. The network helps show where Arvind Nune may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Nune, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 70 | |
| 2 | 2021 | 51 | |
| 3 | 2021 | 29 | |
| 4 | 2020 | 21 | |
| 5 | 2023 | 20 | |
| 6 | 2023 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 4 |
About Arvind Nune
Arvind Nune is a scholar working on Infectious Diseases, Rheumatology, Neurology, Dermatology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 341 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Dermatological and COVID-19 studies (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Vasculitis and related conditions (6 papers), Long-Term Effects of COVID-19 (5 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Peripheral Neuropathies and Disorders (5 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (5 papers). The work is most often cited by research in Health Informatics (13 citations), Infectious Diseases (123 citations), Neurology (91 citations), Rheumatology (75 citations) and Dermatology (27 citations). Arvind Nune has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Karthikeyan P. Iyengar, Christopher Goddard, Pranav Ish, Mrinalini Dey, Koushan Kouranloo, Abhishek Vaish, Rajesh Botchu, Bhupen Barman, Vijay Kumar Jain and Latika Gupta. Their work appears in journals such as Clinical Rheumatology, Lara D. Veeken, Tropical Diseases Travel Medicine and Vaccines, Life and The Lancet Rheumatology.
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.