Neha Shah
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 63
- HIV/AIDS Research and Interventions 15
- Epidemiology top 1%
- Pneumocystis jirovecii pneumonia detection and treatment 31
- Mycobacterium research and diagnosis 25
- Pneumonia and Respiratory Infections 19
- HIV, Drug Use, Sexual Risk 7
- Endocrinology top 2%
- Molecular Medicine top 5%
-
- Infectious Diseases and Tuberculosis 18
- Diagnosis and treatment of tuberculosis 13
- Co-authors
- Neel R. GandhiAnthony P. MollJason R. AndrewsGerald FriedlandBarun MathemaDarren WeissmanRichard K. WilsonAye Wollam
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (3 papers)The Lancet (1 paper)
- Partner nations
- United StatesSouth AfricaKenya
In The Last Decade
Neha Shah
88 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Infectious Diseases 2.5k
- Epidemiology 2.0k
- Endocrinology 180
- Molecular Medicine 127
- Applied Microbiology and Biotechnology 43
Countries citing papers authored by Neha Shah
This map shows the geographic impact of Neha Shah'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 Neha Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Shah more than expected).
Fields of papers citing papers by Neha Shah
This network shows the impact of papers produced by Neha Shah. 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 Neha Shah. The network helps show where Neha Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neha Shah, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 4 | |
| 11 | 2017 | 19 | |
| 12 | 2017 | 3 | |
| 13 | 2016 | 1 | |
| 14 | 2015 | 11 | |
| 15 | Impact of a shortage of first-line antituberculosis medication on tuberculosis control - United States, 2012-2013. | 2013 | 20 |
| 16 | 2011 | 41 | |
| 17 | 2009 | 245 | |
| 18 | Population-based chest X-ray screening for pulmonary tuberculosis in people living with HIV/AIDS, An Giang, Vietnam. | 2008 | 21 |
| 19 | 2007 | 32 | |
| 20 | 1999 | 23 |
About Neha Shah
Neha Shah is a scholar working on Infectious Diseases, Epidemiology and Surgery, having authored 92 papers that have together received 3.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (63 papers), Pneumocystis jirovecii pneumonia detection and treatment (31 papers), Mycobacterium research and diagnosis (25 papers), Pneumonia and Respiratory Infections (19 papers), Infectious Diseases and Tuberculosis (18 papers), HIV/AIDS Research and Interventions (15 papers), Diagnosis and treatment of tuberculosis (13 papers) and HIV, Drug Use, Sexual Risk (7 papers). The work is most often cited by research in Infectious Diseases (2.5k citations), Epidemiology (2.0k citations) and Endocrinology (180 citations). Neha Shah has collaborated with scholars based in United States, South Africa and Kenya. Frequent co-authors include Neel R. Gandhi, Anthony P. Moll, Jason R. Andrews, Gerald Friedland, Barun Mathema, Darren Weissman, Richard K. Wilson, Aye Wollam, Robert S. Fulton and Prashini Moodley. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.