Amit Nargotra

1.6k total citations
54 papers, 1.2k citations indexed

About

Amit Nargotra is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Amit Nargotra has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 20 papers in Organic Chemistry and 13 papers in Computational Theory and Mathematics. Recurrent topics in Amit Nargotra's work include Computational Drug Discovery Methods (13 papers), Synthesis and biological activity (9 papers) and Tuberculosis Research and Epidemiology (9 papers). Amit Nargotra is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Synthesis and biological activity (9 papers) and Tuberculosis Research and Epidemiology (9 papers). Amit Nargotra collaborates with scholars based in India, United States and Pakistan. Amit Nargotra's co-authors include Inshad Ali Khan, Rukmankesh Mehra, Priya Mahajan, Sujata Sharma, M. Kumar, S. Koul, Nitin Pal Kalia, J.P. Sharma, Supriya Koul and Ram A. Vishwakarma and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Amit Nargotra

53 papers receiving 1.2k citations

Peers

Amit Nargotra
Amit Nargotra
Citations per year, relative to Amit Nargotra Amit Nargotra (= 1×) peers Tarek S. Ibrahim

Countries citing papers authored by Amit Nargotra

Since Specialization
Citations

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

Fields of papers citing papers by Amit Nargotra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Nargotra

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Nargotra. A scholar is included among the top collaborators of Amit Nargotra 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 Nargotra. Amit Nargotra 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.
Kaur, H., et al.. (2025). Psychoactive Plant Database: a phytochemical resource for neurological drug discovery. Frontiers in Pharmacology. 16. 1569127–1569127.
2.
Kumari, Diksha, et al.. (2024). Design, synthesis, and biological evaluation of eugenol-isoxazoline hybrid derivatives as potential anti-leishmanial agents. Journal of Molecular Structure. 1308. 138105–138105. 13 indexed citations
3.
Barik, Manas Ranjan, H. Kaur, Shubham Mahajan, et al.. (2023). Repositioning the existing drugs for neuroinflammation: a fusion of computational approach and biological validation to counter the Parkinson’s disease progression. Molecular Diversity. 28(5). 2759–2770. 2 indexed citations
4.
Mukherjee, Debaraj, et al.. (2022). Setomimycin as a potential molecule for COVID‑19 target: in silico approach and in vitro validation. Molecular Diversity. 27(2). 619–633. 6 indexed citations
5.
Raina, Diksha, Farrah Khan, Payare L. Sangwan, et al.. (2022). Boswellic acids, as novel inhibitor targeting peptidoglycan biosynthetic enzyme UDP-N-acetylglucosamine enolpyruvyl transferase (MurA) in Escherichia coli. Archives of Microbiology. 204(8). 472–472. 2 indexed citations
6.
Raina, Diksha, Praveen K. Chinthakindi, Amit Nargotra, et al.. (2021). Screening of compound library identifies novel inhibitors against the MurA enzyme of Escherichia coli. Applied Microbiology and Biotechnology. 105(9). 3611–3623. 8 indexed citations
7.
Sharma, Priyanka, et al.. (2021). Comprehensive genome-wide identification, characterization, and expression profiling of MATE gene family in Nicotiana tabacum. Gene. 783. 145554–145554. 22 indexed citations
8.
Akhoon, Bashir Akhlaq, et al.. (2020). Discovery of a New Donepezil-like Acetylcholinesterase Inhibitor for Targeting Alzheimer’s Disease: Computational Studies with Biological Validation. Journal of Chemical Information and Modeling. 60(10). 4717–4729. 33 indexed citations
9.
Mahajan, Priya, et al.. (2019). Combining ligand- and structure-based in silico methods for the identification of natural product-based inhibitors of Akt1. Molecular Diversity. 24(1). 45–60. 11 indexed citations
10.
Mahajan, Priya, et al.. (2019). Rottlerin is a pan phosphodiesterase inhibitor and can induce neurodifferentiation in IMR-32 human neuroblastoma cells. European Journal of Pharmacology. 857. 172448–172448. 9 indexed citations
11.
Mahajan, Priya, Gousia Chashoo, Monika Gupta, et al.. (2017). Fusion of Structure and Ligand Based Methods for Identification of Novel CDK2 Inhibitors. Journal of Chemical Information and Modeling. 57(8). 1957–1969. 23 indexed citations
12.
Rasool, Reyaz ur, Debasis Nayak, Mir Mohd Faheem, et al.. (2017). AKT is indispensable for coordinating Par-4/JNK cross talk in p21 downmodulation during ER stress. Oncogenesis. 6(5). e341–e341. 16 indexed citations
13.
Mehra, Rukmankesh, et al.. (2015). High-throughput screen identifies small molecule inhibitors targeting acetyltransferase activity of Mycobacterium tuberculosis GlmU. Tuberculosis. 95(6). 664–677. 21 indexed citations
14.
Guru, Santosh Kumar, Anup S. Pathania, Priya Mahajan, et al.. (2014). Synthesis of 5-substituted-1H-pyrazolo[4,3-d]pyrimidin-7(6H)-one analogs and their biological evaluation as anticancer agents: mTOR inhibitors. European Journal of Medicinal Chemistry. 80. 201–208. 36 indexed citations
15.
Bhat, Wajid Waheed, Niha Dhar, Sumeer Razdan, et al.. (2013). Molecular Characterization of UGT94F2 and UGT86C4, Two Glycosyltransferases from Picrorhiza kurrooa: Comparative Structural Insight and Evaluation of Substrate Recognition. PLoS ONE. 8(9). e73804–e73804. 32 indexed citations
16.
Nargotra, Amit, et al.. (2011). Novel thermostable lipase from Bacillus circulans IIIB153: comparison with the mesostable homologue at sequence and structure level. World Journal of Microbiology and Biotechnology. 28(1). 193–203. 11 indexed citations
17.
Nargotra, Amit, Sujata Sharma, Zabeer Ahmed, et al.. (2011). In silico identification of viper phospholipaseA2 inhibitors: validation by in vitro, in vivo studies. Journal of Molecular Modeling. 17(12). 3063–3073. 26 indexed citations
18.
Sharma, Sujata, M. Kumar, Amit Nargotra, S. Koul, & Inshad Ali Khan. (2010). Piperine as an inhibitor of Rv1258c, a putative multidrug efflux pump of Mycobacterium tuberculosis. Journal of Antimicrobial Chemotherapy. 65(8). 1694–1701. 165 indexed citations
19.
Shah, Bhahwal Ali, Pankaj Gupta, Vijay Sethi, et al.. (2009). Saponins as novel TNF-α inhibitors: isolation of saponins and a nor-pseudoguaianolide from Parthenium hysterophorus. Organic & Biomolecular Chemistry. 7(16). 3230–3230. 27 indexed citations
20.
Nargotra, Amit, Sujata Sharma, Jawahir L. Koul, et al.. (2009). Quantitative structure activity relationship (QSAR) of piperine analogsfor bacterial NorA efflux pump inhibitors. European Journal of Medicinal Chemistry. 44(10). 4128–4135. 32 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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