Arvind Nune
Impact in
- Health Informatics top 10%
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 6
- Rheumatology 10
- Systemic Lupus Erythematosus Research 4
- 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)Latika Gupta (10 shared papers)
- Journals
- Clinical Rheumatology (4 papers)Tropical Diseases Travel Medicine and Vaccines (2 papers)Life (2 papers)Lara D. Veeken (2 papers)The Lancet Rheumatology (1 paper)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Arvind Nune
39 papers receiving 358 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 15
- Neurology 86
- Infectious Diseases 96
- Rheumatology 67
- Dermatology 26
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2021 | 51 | |
| 3 | 2021 | 30 | |
| 4 | 2023 | 22 | |
| 5 | 2020 | 22 | |
| 6 | 2023 | 18 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 12 | |
| 9 | Incidence and risk factors of long COVID in the UK : a single-centre observational study | 2021 | 12 |
| 10 | 2023 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 4 |
About Arvind Nune
Arvind Nune is a scholar working on Infectious Diseases, Rheumatology, Neurology, Dermatology and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 369 indexed citations. Recurring topics across this work include Dermatological and COVID-19 studies (7 papers), COVID-19 Clinical Research Studies (7 papers), Vasculitis and related conditions (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Peripheral Neuropathies and Disorders (5 papers), Long-Term Effects of COVID-19 (5 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Health Informatics (15 citations), Neurology (86 citations), Infectious Diseases (96 citations), Rheumatology (67 citations) and Dermatology (26 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, Latika Gupta, Bhupen Barman and James Bateman. Their work appears in journals such as Clinical Rheumatology, Tropical Diseases Travel Medicine and Vaccines, Life, Lara D. Veeken 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.