Rupal Shah
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Tuberculosis Research and Epidemiology 5
- Viral Infections and Outbreaks Research 2
-
- Mycobacterium research and diagnosis 5
- Co-authors
- Sarah M. Fortune (5 shared papers)Christopher B. Ford (3 shared papers)Marc Lipsitch (2 shared papers)Megan Murray (2 shared papers)Ted Cohen (1 shared paper)James C. Johnston (1 shared paper)Jennifer L. Gardy (1 shared paper)Sébastien Gagneux (1 shared paper)
- Journals
- BMJ Open (2 papers)Nature Genetics (2 papers)PLoS Pathogens (1 paper)Nature Communications (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Rupal Shah
15 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Infectious Diseases 662
- Molecular Medicine 101
- Epidemiology 562
- Molecular Biology 389
- Endocrinology 26
Countries citing papers authored by Rupal Shah
This map shows the geographic impact of Rupal 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 Rupal Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupal Shah more than expected).
Fields of papers citing papers by Rupal Shah
This network shows the impact of papers produced by Rupal 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 Rupal Shah. The network helps show where Rupal Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Rupal 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 | 2011 | 326 | |
| 2 | 2013 | 313 | |
| 3 | 2013 | 144 | |
| 4 | 2013 | 118 | |
| 5 | 2016 | 44 | |
| 6 | 2008 | 26 | |
| 7 | 2021 | 11 | |
| 8 | 2024 | 11 | |
| 9 | 2014 | 9 | |
| 10 | 2016 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 1 | |
| 14 | 2007 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2024 | 0 |
About Rupal Shah
Rupal Shah is a scholar working on Infectious Diseases, Epidemiology, Pediatrics, Perinatology and Child Health, Molecular Medicine and Molecular Biology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (5 papers), Antibiotic Resistance in Bacteria (3 papers), Global Maternal and Child Health (2 papers), Nanoparticles: synthesis and applications (2 papers), COVID-19 epidemiological studies (2 papers), Viral Infections and Outbreaks Research (2 papers) and Microbial bioremediation and biosurfactants (1 paper). The work is most often cited by research in Infectious Diseases (662 citations), Molecular Medicine (101 citations), Epidemiology (562 citations), Molecular Biology (389 citations) and Endocrinology (26 citations). Rupal Shah has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Sarah M. Fortune, Christopher B. Ford, Marc Lipsitch, Megan Murray, Ted Cohen, James C. Johnston, Jennifer L. Gardy, Sébastien Gagneux, Philana Ling Lin and James C. Sacchettini. Their work appears in journals such as BMJ Open, Nature Genetics, PLoS Pathogens, Nature Communications and Journal of Biological Chemistry.
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.