Amit Singhal

5.2k total citations · 1 hit paper
78 papers, 3.1k citations indexed

About

Amit Singhal is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Amit Singhal has authored 78 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 20 papers in Epidemiology and 17 papers in Immunology. Recurrent topics in Amit Singhal's work include Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (10 papers) and Immune Cell Function and Interaction (7 papers). Amit Singhal is often cited by papers focused on Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (10 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, Michael Poidinger, J. S. Lin, Liana Tsenova, Bhairav Paleja, Kathleen A. Affholter, Francesca Zolezzi and Fadwa Badway and has published in prestigious journals such as Journal of the American Chemical Society, Nature Medicine and Nature Communications.

In The Last Decade

Amit Singhal

74 papers receiving 3.1k citations

Hit Papers

Metformin as adjunct anti... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Metformin as adjunct antituberculosis therapy
    2014 378 citations Amit Singhal, Liana Tsenova et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amit Singhal 993 774 770 653 402 78 3.1k
David W. Wright 552 0.6× 2.0k 2.5× 541 0.7× 245 0.4× 494 1.2× 151 5.1k
Kristy M. Ainslie 303 0.3× 1.2k 1.5× 457 0.6× 1.1k 1.7× 207 0.5× 123 3.8k
Hagen von Briesen 1.2k 1.2× 2.1k 2.7× 466 0.6× 699 1.1× 70 0.2× 126 6.4k
Lulu Han 474 0.5× 504 0.7× 113 0.1× 411 0.6× 462 1.1× 114 2.9k
Fengsheng Li 214 0.2× 825 1.1× 725 0.9× 363 0.6× 507 1.3× 255 6.1k
Zhongwen Wu 280 0.3× 674 0.9× 460 0.6× 90 0.1× 243 0.6× 181 2.8k
Muhammad Suleman 686 0.7× 872 1.1× 201 0.3× 268 0.4× 181 0.5× 176 2.5k
Wenming Wang 339 0.3× 503 0.6× 187 0.2× 263 0.4× 459 1.1× 164 2.4k
Xiaofeng Feng 306 0.3× 630 0.8× 1.5k 2.0× 231 0.4× 1.1k 2.7× 82 7.1k
Herwig Brunner 174 0.2× 1.1k 1.4× 151 0.2× 905 1.4× 223 0.6× 39 3.5k

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).

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.

Co-authorship network of co-authors of Amit Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Singhal. A scholar is included among the top collaborators of Amit Singhal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amit Singhal. Amit Singhal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Agarwal, Sakshi, et al.. (2025). The repurposed STAT3 inhibitor pyrimethamine controls mycobacterial infection-induced vascular permeability and mycobacterial burden. Biomedicine & Pharmacotherapy. 191. 118464–118464.
2.
Wainberg, Zev A., Yongjun Cha, Jasmaninder Singh Grewal, et al.. (2024). 659P Combination treatment with TTX-030, a first-in-class anti-CD39 antibody, in patients with advanced pancreatic cancer. Annals of Oncology. 35. S519–S520. 3 indexed citations
3.
Sweet, Matthew J., Divya Ramnath, Amit Singhal, & Ronan Kapétanovic. (2024). Inducible antibacterial responses in macrophages. Nature reviews. Immunology. 25(2). 92–107. 41 indexed citations
4.
Pal, Rahul, Taruna Sharma, Sonu Kumar Gupta, et al.. (2024). Rv0495c regulates redox homeostasis in Mycobacterium tuberculosis. Tuberculosis. 145. 102477–102477. 3 indexed citations
5.
Celhar, Teja, Ravisankar Rajarethinam, Yiping Fan, et al.. (2024). Fetal liver CD34+ contain human immune and endothelial progenitors and mediate solid tumor rejection in NOG mice. Stem Cell Research & Therapy. 15(1). 164–164. 1 indexed citations
6.
7.
Pal, Rahul, et al.. (2023). Transcription factor mce3R modulates antibiotics and disease persistence in Mycobacterium tuberculosis. Research in Microbiology. 174(7). 104082–104082. 4 indexed citations
8.
Martínez, Núria, Clare M. Smith, John T. Williams, et al.. (2023). Glycerol contributes to tuberculosis susceptibility in male mice with type 2 diabetes. Nature Communications. 14(1). 5840–5840. 12 indexed citations
9.
Pisu, Davide, Lu Huang, Vipin Narang, et al.. (2021). Single cell analysis of M. tuberculosis phenotype and macrophage lineages in the infected lung. The Journal of Experimental Medicine. 218(9). 109 indexed citations
10.
Rouers, Angéline, Melissa Hui Yen Chng, Bernett Lee, et al.. (2021). Immune cell phenotypes associated with disease severity and long-term neutralizing antibody titers after natural dengue virus infection. Cell Reports Medicine. 2(5). 100278–100278. 23 indexed citations
11.
Betzler, Bjorn Kaijun, Sean Ng, Soon‐Phaik Chee, et al.. (2021). The Eye of the Storm: COVID-19 Vaccination and the Eye. Ophthalmology and Therapy. 11(1). 81–100. 46 indexed citations
12.
Hussain, Shaista, Ankit Das, Binh P. Nguyen, et al.. (2020). High-content image generation for drug discovery using generative adversarial networks. Neural Networks. 132. 353–363. 28 indexed citations
13.
Shakespear, Melanie R., Abishek Iyer, Catherine Y. Cheng, et al.. (2018). Lysine Deacetylases and Regulated Glycolysis in Macrophages. Trends in Immunology. 39(6). 473–488. 57 indexed citations
14.
Mani, Vigneshwaran, Shuqi Wang, Fatih İnci, et al.. (2014). Emerging technologies for monitoring drug-resistant tuberculosis at the point-of-care. Advanced Drug Delivery Reviews. 78. 105–117. 31 indexed citations
15.
Facciotti, Federica, Marco Lepore, Sebastiano Sansano, et al.. (2012). Peroxisome-derived lipids are self antigens that stimulate invariant natural killer T cells in the thymus. Nature Immunology. 13(5). 474–480. 166 indexed citations
16.
Singhal, Amit, El Moukhtar Aliouat, Maxime Hervé, et al.. (2011). Experimental Tuberculosis in the Wistar Rat: A Model for Protective Immunity and Control of Infection. PLoS ONE. 6(4). e18632–e18632. 35 indexed citations
17.
Seah, Peck Gee, Amit Singhal, Vanessa Mathys, et al.. (2011). Mycobacterium tuberculosis infection induces hypoxic lung lesions in the rat. Tuberculosis. 91(4). 339–341. 15 indexed citations
18.
19.
Divya, P. V., et al.. (2005). Injection Moulding of Titanium Metal and AW- PMMA Composite Powders. 18(2).
20.
Singhal, Amit, L.M. Toth, J. S. Lin, & Kathleen A. Affholter. (1996). Zirconium(IV) Tetramer/Octamer Hydrolysis Equilibrium in Aqueous Hydrochloric Acid Solution. Journal of the American Chemical Society. 118(46). 11529–11534. 168 indexed citations

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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