Amit Singhal

73 papers and 2.9k indexed citations i.

About

Amit Singhal is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Amit Singhal has authored 73 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 19 papers in Epidemiology and 17 papers in Immunology. Recurrent topics in Amit Singhal’s work include Tuberculosis Research and Epidemiology (22 papers), Mycobacterium research and diagnosis (9 papers) and Immune Cell Function and Interaction (7 papers). Amit Singhal is often cited by papers focused on Tuberculosis Research and Epidemiology (22 papers), Mycobacterium research and diagnosis (9 papers) and Immune Cell Function and Interaction (7 papers). Amit Singhal collaborates with scholars based in Singapore, United States and India. Amit Singhal's 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 and has published in prestigious journals such as Journal of the American Chemical Society, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Co-authorship network of co-authors of Amit Singhal i

Fields of papers citing papers by Amit Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Amit Singhal

Since Specialization
Citations

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).

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.

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2025