Amit Singh

1.4k total citations
35 papers, 931 citations indexed

About

Amit Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Amit Singh has authored 35 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 6 papers in Plant Science. Recurrent topics in Amit Singh's work include Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Synthesis and biological activity (3 papers). Amit Singh is often cited by papers focused on Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Synthesis and biological activity (3 papers). Amit Singh collaborates with scholars based in India, Nigeria and United States. Amit Singh's co-authors include Abha Mishra, Sharad Verma, Anand Kumar Pandey, Rajesh Kumar Goel, Ashish Kumar Tewari, Ved Prakash Singh, C. Gopi Mohan, Upinder Kaur, Sankha Shubhra Chakrabarti and Manish Kumar Gautam and has published in prestigious journals such as Journal of Cellular Biochemistry, Biochemical Engineering Journal and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

In The Last Decade

Amit Singh

34 papers receiving 909 citations

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 13 333 217 117 117 96 35 931
M Chandrasekar India 12 448 1.3× 176 0.8× 93 0.8× 176 1.5× 80 0.8× 62 983
Carmine Ostacolo Italy 25 609 1.8× 174 0.8× 90 0.8× 92 0.8× 110 1.1× 69 1.5k
Ashwini Kumar India 15 262 0.8× 162 0.7× 176 1.5× 112 1.0× 68 0.7× 47 1.1k
Kumari Neha India 11 240 0.7× 208 1.0× 81 0.7× 106 0.9× 132 1.4× 38 898
Farhan Zameer India 17 282 0.8× 206 0.9× 74 0.6× 182 1.6× 92 1.0× 59 1.0k
Arafa Musa Saudi Arabia 17 228 0.7× 287 1.3× 126 1.1× 101 0.9× 43 0.4× 67 793
Hande Si̇pahi̇ Türkiye 20 200 0.6× 148 0.7× 114 1.0× 195 1.7× 96 1.0× 98 1.1k
Manoj Gadewar India 15 372 1.1× 113 0.5× 97 0.8× 188 1.6× 88 0.9× 38 1.1k
Florin Borcan Romania 17 340 1.0× 103 0.5× 49 0.4× 97 0.8× 57 0.6× 84 894
Lisa Marinelli Italy 22 402 1.2× 182 0.8× 167 1.4× 141 1.2× 38 0.4× 57 1.3k

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.
Saini, Ravi, Sonali Kumari, Amit Singh, & Abha Mishra. (2023). From nature to cancer therapy: Evaluating the Streptomyces clavuligerus secondary metabolites for potential protein kinase inhibitors. Journal of Cellular Biochemistry. 125(1). 59–78. 2 indexed citations
2.
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Singh, Amit, Ravi Saini, & Abha Mishra. (2022). Novel allosteric inhibitor to target drug resistance in EGFR mutant: molecular modelling and free energy approach. Molecular Simulation. 48(9). 801–811. 5 indexed citations
4.
Chakrabarti, Sankha Shubhra, Upinder Kaur, Anup Singh, et al.. (2020). Of Cross-Immunity, Herd Immunity and Country-Specific Plans: Experiences from COVID-19 in India. SSRN Electronic Journal. 1 indexed citations
5.
Singh, Amit & Abha Mishra. (2020). Molecular dynamics simulation and free energy calculation studies of Coagulin L as dipeptidyl peptidase-4 inhibitor. Journal of Biomolecular Structure and Dynamics. 40(3). 1128–1138. 8 indexed citations
6.
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Kaur, Upinder, et al.. (2019). Esketamine: a glimmer of hope in treatment-resistant depression. European Archives of Psychiatry and Clinical Neuroscience. 271(3). 417–429. 55 indexed citations
8.
Singh, Amit, et al.. (2017). Vascular plant diversity with special reference to invasion of alien species on the Doon University Campus, Dehradun, India. International Journal of Biodiversity and Conservation. 9(3). 56–76. 2 indexed citations
9.
Verma, Sharad, Amit Singh, & Abha Mishra. (2014). Complex disruption effect of natural polyphenols on Bcl-2-Bax: molecular dynamics simulation and essential dynamics study. Journal of Biomolecular Structure and Dynamics. 33(5). 1094–1106. 16 indexed citations
10.
Tewari, Ashish Kumar, Ved Prakash Singh, Garima Gupta, et al.. (2014). Synthesis, biological evaluation and molecular modeling study of pyrazole derivatives as selective COX-2 inhibitors and anti-inflammatory agents. Bioorganic Chemistry. 56. 8–15. 83 indexed citations
11.
Singh, Amit, et al.. (2014). Regulation of wound strength by Ocimum sanctum: in silico and in vivo evidences. International Journal of Basic & Clinical Pharmacology. 3(1). 179–179. 1 indexed citations
12.
Verma, Sharad, Amit Singh, & Abha Mishra. (2013). Gallic acid: Molecular rival of cancer. Environmental Toxicology and Pharmacology. 35(3). 473–485. 304 indexed citations
13.
Verma, Sharad, Amit Singh, & Abha Mishra. (2013). Molecular dynamics investigation on the poor sensitivity of A171T mutant NEDD8-activating enzyme (NAE) for MLN4924. Journal of Biomolecular Structure and Dynamics. 32(7). 1064–1073. 7 indexed citations
14.
Verma, Sharad, Amit Singh, & Abha Mishra. (2013). Molecular Dynamics Investigation on the Inhibition of MDM2‐p53 Interaction by Polyphenols. Molecular Informatics. 32(2). 203–212. 4 indexed citations
15.
Verma, Sharad, Amit Singh, & Abha Mishra. (2012). The effect of fulvic acid on pre‐ and postaggregation state of Aβ17–42: Molecular dynamics simulation studies. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(1). 24–33. 12 indexed citations
16.
Verma, Sharad, Amit Singh, & Abha Mishra. (2012). Dual inhibition of chaperoning process by taxifolin: Molecular dynamics simulation study. Journal of Molecular Graphics and Modelling. 37. 27–38. 24 indexed citations
17.
Verma, Sharad, Abha Mishra, & Amit Singh. (2012). Molecular construction of NADH-cytochrome b5 reductase inhibition by flavonoids and chemical basis of difference in inhibition potential: Molecular dynamics simulation study. 2 indexed citations
18.
19.
Verma, Sharad, Amit Singh, & Abha Mishra. (2012). Quercetin and taxifolin completely break MDM2–p53 association: molecular dynamics simulation study. Medicinal Chemistry Research. 22(6). 2778–2787. 3 indexed citations
20.
Singh, Amit, et al.. (2012). Review on production and medical applications of ɛ-polylysine. Biochemical Engineering Journal. 65. 70–81. 173 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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