Amit Singh

7.2k total citations · 2 hit papers
87 papers, 5.4k citations indexed

About

Amit Singh is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Amit Singh has authored 87 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 39 papers in Infectious Diseases and 34 papers in Epidemiology. Recurrent topics in Amit Singh's work include Tuberculosis Research and Epidemiology (38 papers), Mycobacterium research and diagnosis (22 papers) and Antibiotic Resistance in Bacteria (12 papers). Amit Singh is often cited by papers focused on Tuberculosis Research and Epidemiology (38 papers), Mycobacterium research and diagnosis (22 papers) and Antibiotic Resistance in Bacteria (12 papers). Amit Singh collaborates with scholars based in India, United States and Australia. Amit Singh's co-authors include Murali Sastry, Absar Ahmad, Akhilesh Rai, Balaprasad Ankamwar, S. Shiv Shankar, Mansoor M. Amiji, Lara Milane, Megha Suresh, George Mattheolabakis and Adrie J. C. Steyn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Amit Singh

83 papers receiving 5.2k citations

Hit Papers

Biological synthesis of triangular gold nanoprisms 2004 2026 2011 2018 2004 2015 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amit Singh India 34 2.1k 1.6k 1.5k 1.1k 866 87 5.4k
Yajuan Li China 32 977 0.5× 1.0k 0.6× 416 0.3× 280 0.2× 966 1.1× 148 4.2k
Didier Desmaële France 51 3.2k 1.6× 721 0.4× 613 0.4× 252 0.2× 1.5k 1.8× 207 8.0k
Chien‐Chen Lai Taiwan 43 3.4k 1.6× 1.0k 0.6× 322 0.2× 409 0.4× 249 0.3× 211 7.4k
Mingzhen Zhang China 44 3.2k 1.6× 1.9k 1.2× 208 0.1× 364 0.3× 1.9k 2.1× 168 7.4k
Luke W. Guddat Australia 48 4.6k 2.2× 755 0.5× 1.6k 1.1× 986 0.9× 206 0.2× 211 7.7k
Bin Xia China 44 2.6k 1.3× 839 0.5× 343 0.2× 588 0.5× 372 0.4× 182 5.1k
Sanyog Jain India 56 3.3k 1.6× 1.1k 0.7× 241 0.2× 291 0.3× 1.8k 2.1× 222 9.8k
Jiang Pi China 34 1.3k 0.6× 1.1k 0.7× 188 0.1× 229 0.2× 1.0k 1.2× 110 4.1k
Elizabeth M. Nolan United States 45 4.3k 2.1× 3.1k 1.9× 386 0.3× 233 0.2× 422 0.5× 116 9.0k
Li Ding China 42 1.4k 0.7× 632 0.4× 727 0.5× 990 0.9× 1.1k 1.3× 166 4.8k

Countries citing papers authored by Amit Singh

Since Specialization
Citations

This map shows the geographic impact of Amit Singh'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 Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Singh more than expected).

Fields of papers citing papers by Amit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Singh. 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 Singh. The network helps show where Amit Singh may publish in the future.

Co-authorship network of co-authors of Amit Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Singh. A scholar is included among the top collaborators of Amit Singh 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 Singh. Amit Singh 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.
Manna, Suman, et al.. (2024). Orthogonal Persulfide Generation through Precision Tools Provides Insights into Mitochondrial Sulfane Sulfur. Angewandte Chemie International Edition. 63(46). e202411133–e202411133. 9 indexed citations
3.
Khosla, Sanjeev, et al.. (2023). The Mycobacterium tuberculosis methyltransferase Rv2067c manipulates host epigenetic programming to promote its own survival. Nature Communications. 14(1). 8497–8497. 8 indexed citations
4.
Subhadra, Bobban, et al.. (2023). Significant Broad-Spectrum Antiviral Activity of Bi121 against Different Variants of SARS-CoV-2. Viruses. 15(6). 1299–1299. 4 indexed citations
5.
Yadav, Pragya D., P. Mukherjee, Samsher Singh, et al.. (2023). Rationally Designed Novel Phenyloxazoline Synthase Inhibitors: Chemical Synthesis and Biological Evaluation to Accelerate the Discovery of New Antimycobacterial Antibiotics. Molecules. 28(24). 8115–8115. 2 indexed citations
6.
Kohli, Sakshi, Raju S Rajmani, Nagasuma Chandra, et al.. (2023). Cysteine desulfurase (IscS)–mediated fine-tuning of bioenergetics and SUF expression prevents Mycobacterium tuberculosis hypervirulence. Science Advances. 9(50). eadh2858–eadh2858. 7 indexed citations
8.
Singh, Amit, et al.. (2022). A 9-gene biomarker panel identifies bacterial coinfections in culture-negative COVID-19 cases. Molecular Omics. 18(8). 814–820. 10 indexed citations
9.
Singh, Samsher, Chandrani Thakur, Sakshi Kohli, et al.. (2022). Moxifloxacin-Mediated Killing of Mycobacterium tuberculosis Involves Respiratory Downshift, Reductive Stress, and Accumulation of Reactive Oxygen Species. Antimicrobial Agents and Chemotherapy. 66(9). e0059222–e0059222. 29 indexed citations
10.
Anand, Kushi, Chandrani Thakur, Raju S Rajmani, et al.. (2022). Mycobacterium tuberculosis requires SufT for Fe-S cluster maturation, metabolism, and survival in vivo. PLoS Pathogens. 18(4). e1010475–e1010475. 17 indexed citations
11.
Narayan, Rohan, Raju S Rajmani, Rahila Sardar, et al.. (2021). Identification of COVID-19 prognostic markers and therapeutic targets through meta-analysis and validation of Omics data from nasopharyngeal samples. EBioMedicine. 70. 103525–103525. 30 indexed citations
13.
Bhaskar, Ashima, Santosh Kumar, Mehak Zahoor Khan, et al.. (2020). Host sirtuin 2 as an immunotherapeutic target against tuberculosis. eLife. 9. 52 indexed citations
14.
Kohli, Sakshi, Mansi Mehta, MohamedHusen Munshi, et al.. (2019). Targeting redox heterogeneity to counteract drug tolerance in replicating Mycobacterium tuberculosis. Science Translational Medicine. 11(518). 75 indexed citations
15.
Mishra, Saurabh, Prashant Shukla, Ashima Bhaskar, et al.. (2017). Efficacy of β-lactam/β-lactamase inhibitor combination is linked to WhiB4-mediated changes in redox physiology of Mycobacterium tuberculosis. eLife. 6. 46 indexed citations
16.
Vendruscolo, Michele, et al.. (2015). Analysis of the hierarchical structure of the B. subtilis transcriptional regulatory network. Molecular BioSystems. 11(3). 930–941. 8 indexed citations
17.
Farhana, Aisha, et al.. (2010). Reductive Stress in Microbes: Implications for Understanding Mycobacterium tuberculosis Disease and Persistence. Advances in microbial physiology. 57. 43–117. 45 indexed citations
18.
Singh, Amit, David K. Crossman, Deborah Mai, et al.. (2009). Mycobacterium tuberculosis WhiB3 Maintains Redox Homeostasis by Regulating Virulence Lipid Anabolism to Modulate Macrophage Response. PLoS Pathogens. 5(8). e1000545–e1000545. 232 indexed citations
19.
Singh, Amit, K. Narasimhulu, Deborah Mai, et al.. (2007). Mycobacterium tuberculosis WhiB3 responds to O 2 and nitric oxide via its [4Fe-4S] cluster and is essential for nutrient starvation survival. Proceedings of the National Academy of Sciences. 104(28). 11562–11567. 157 indexed citations
20.
Singh, Amit, Deborah Mai, Ashwani Kumar, & Adrie J. C. Steyn. (2006). Dissecting virulence pathways of Mycobacterium tuberculosis through protein–protein association. Proceedings of the National Academy of Sciences. 103(30). 11346–11351. 119 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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