Amit Singhal
Impact in
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Tuberculosis Research and Epidemiology 23
- Epidemiology 20
- Mycobacterium research and diagnosis 10
- Co-authors
- Gennaro De Libero (12 shared papers)Ganesh Skandan (6 shared papers)L.M. Toth (4 shared papers)J. S. Lin (3 shared papers)Michael Poidinger (8 shared papers)Liana Tsenova (4 shared papers)Kathleen A. Affholter (1 shared paper)Bhairav Paleja (5 shared papers)
- Journals
- Scientific Reports (3 papers)Tuberculosis (3 papers)Nature Communications (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- SingaporeUnited StatesIndia
In The Last Decade
Amit Singhal
74 papers receiving 3.1k citations
Amit Singhal's Hit Papers
Peers
Comparison fields: 5 of 152
- Infectious Diseases 993
- Immunology 653
- Structural Biology 38
- Epidemiology 770
- Molecular Medicine 88
Countries citing papers authored by Amit Singhal
This map shows the geographic impact of Amit Singhal'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 Amit Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Singhal more than expected).
Fields of papers citing papers by Amit Singhal
This network shows the impact of papers produced by Amit Singhal. 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 Amit Singhal. The network helps show where Amit Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Singhal, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metformin as adjunct antituberculosis therapy Hit paper breakdown → | 2014 | 378 |
| 2 | 2014 | 233 | |
| 3 | 2001 | 205 | |
| 4 | 1996 | 168 | |
| 5 | 2012 | 166 | |
| 6 | 2009 | 149 | |
| 7 | 2004 | 141 | |
| 8 | 2009 | 138 | |
| 9 | 2015 | 115 | |
| 10 | 2021 | 109 | |
| 11 | 2009 | 92 | |
| 12 | 2013 | 91 | |
| 13 | 2019 | 76 | |
| 14 | 1997 | 58 | |
| 15 | 2018 | 57 | |
| 16 | 1999 | 57 | |
| 17 | 2016 | 55 | |
| 18 | 2021 | 46 | |
| 19 | 2007 | 42 | |
| 20 | 2024 | 41 |
About Amit Singhal
Amit Singhal is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Materials Chemistry, having authored 78 papers that have together received 3.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (10 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Thermal and Kinetic Analysis (5 papers), Immune cells in cancer (5 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Infectious Diseases (993 citations), Immunology (653 citations), Structural Biology (38 citations), Epidemiology (770 citations) and Molecular Medicine (88 citations). Amit Singhal has collaborated with scholars based in Singapore, United States and India. Frequent co-authors include Gennaro De Libero, Ganesh Skandan, L.M. Toth, J. S. Lin, Michael Poidinger, Liana Tsenova, Kathleen A. Affholter, Bhairav Paleja, Francesca Zolezzi and Fadwa Badway. Their work appears in journals such as Scientific Reports, Tuberculosis, Nature Communications, Antimicrobial Agents and Chemotherapy and The Journal of Experimental 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.