Zarir Udwadia
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 17
- COVID-19 Clinical Research Studies 8
- SARS-CoV-2 and COVID-19 Research 4
- Epidemiology top 10%
- Mycobacterium research and diagnosis 7
- Pneumocystis jirovecii pneumonia detection and treatment 4
- Pneumonia and Respiratory Infections 4
- Neurology top 10%
- Modeling and Simulation top 10%
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 3
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- COVID-19 and Mental Health 3
- Co-authors
- Umang AgrawalAjita MehtaAjit LalvaniDeepak V. AlmeidaShashank JoshiHanmant BarkateAmol PendseCynthia Caracta
- Journals
- Clinical Infectious Diseases (3 papers)Annals of the New York Academy of Sciences (1 paper)Critical Care Medicine (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Zarir Udwadia
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 128
- Infectious Diseases 748
- Epidemiology 358
- Neurology 124
- Molecular Medicine 33
- Modeling and Simulation 29
Countries citing papers authored by Zarir Udwadia
This map shows the geographic impact of Zarir Udwadia'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 Zarir Udwadia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zarir Udwadia more than expected).
Fields of papers citing papers by Zarir Udwadia
This network shows the impact of papers produced by Zarir Udwadia. 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 Zarir Udwadia. The network helps show where Zarir Udwadia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zarir Udwadia, 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 | 2025 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 4 | |
| 6 | 2020 | 175 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 41 | |
| 10 | 2020 | 286 | |
| 11 | 2020 | 14 | |
| 12 | 2016 | 1 | |
| 13 | 2011 | 48 | |
| 14 | 2011 | 28 | |
| 15 | 2011 | 0 | |
| 16 | 2010 | 51 | |
| 17 | 2005 | 69 | |
| 18 | 2001 | 20 | |
| 19 | 1990 | 16 | |
| 20 | 1987 | 23 |
About Zarir Udwadia
Zarir Udwadia is a scholar working on Infectious Diseases, Modeling and Simulation and Molecular Medicine, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), COVID-19 Clinical Research Studies (8 papers), Mycobacterium research and diagnosis (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Pneumonia and Respiratory Infections (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Infectious Diseases (748 citations), Epidemiology (358 citations) and Neurology (124 citations). Zarir Udwadia has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Umang Agrawal, Ajita Mehta, Ajit Lalvani, Deepak V. Almeida, Shashank Joshi, Hanmant Barkate, Amol Pendse, Cynthia Caracta, Monika Tandon and Saiprasad Patil. Their work appears in journals such as Clinical Infectious Diseases, Annals of the New York Academy of Sciences and Critical Care Medicine.
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.