Suyash Pant

515 total citations
20 papers, 385 citations indexed

About

Suyash Pant is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Suyash Pant has authored 20 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Organic Chemistry. Recurrent topics in Suyash Pant's work include SARS-CoV-2 and COVID-19 Research (3 papers), Mosquito-borne diseases and control (3 papers) and interferon and immune responses (2 papers). Suyash Pant is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Mosquito-borne diseases and control (3 papers) and interferon and immune responses (2 papers). Suyash Pant collaborates with scholars based in India and United States. Suyash Pant's co-authors include Hemant Kumar Srivastava, Upadhyayula Suryanarayana Murty, V. Ravichandiran, N. R. Jena, Keshri Nath Tiwari, Rahul Kumar, S.J.S. Flora, Abha Sharma, Ashima Thakur and Snehasikta Swarnakar and has published in prestigious journals such as Scientific Reports, Journal of Catalysis and Annals of Oncology.

In The Last Decade

Suyash Pant

20 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suyash Pant India 8 165 155 129 84 28 20 385
Salman Ali Khan Pakistan 8 200 1.2× 207 1.3× 153 1.2× 79 0.9× 17 0.6× 24 422
Ammar D. Elmezayen Türkiye 7 268 1.6× 211 1.4× 146 1.1× 79 0.9× 26 0.9× 9 446
Ekampreet Singh India 8 234 1.4× 196 1.3× 136 1.1× 78 0.9× 14 0.5× 15 407
Sangeetha Meenakshisundaram India 6 139 0.8× 192 1.2× 96 0.7× 78 0.9× 15 0.5× 6 404
Maura V. Gongora United States 4 222 1.3× 299 1.9× 135 1.0× 78 0.9× 22 0.8× 4 435
Lovika Mittal India 12 214 1.3× 136 0.9× 164 1.3× 61 0.7× 29 1.0× 18 388
Mitul Srivastava India 12 224 1.4× 154 1.0× 195 1.5× 62 0.7× 27 1.0× 26 429
Sathishkumar Chinnasamy India 11 147 0.9× 117 0.8× 208 1.6× 58 0.7× 13 0.5× 18 400
Qingxing Wang China 5 142 0.9× 306 2.0× 165 1.3× 44 0.5× 34 1.2× 8 540
Joseph T. Ortega United States 13 140 0.8× 319 2.1× 300 2.3× 53 0.6× 24 0.9× 29 715

Countries citing papers authored by Suyash Pant

Since Specialization
Citations

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

Fields of papers citing papers by Suyash Pant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyash Pant

This figure shows the co-authorship network connecting the top 25 collaborators of Suyash Pant. A scholar is included among the top collaborators of Suyash Pant 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 Suyash Pant. Suyash Pant 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.
Pant, Suyash & N. R. Jena. (2025). Computational predictions of artificial nucleoside triphosphates as potent inhibitors of RNA-dependent RNA polymerase of the ZIKA virus. Human Immunology. 86(3). 111286–111286. 1 indexed citations
2.
Dinda, Shrabani, Suyash Pant, Anand Chandrasekaran, et al.. (2024). Machine learning-based design of pincer catalysts for polymerization reaction. Journal of Catalysis. 439. 115766–115766. 3 indexed citations
3.
4.
Mishra, Nidhi, Madhu Sharma, Priya Singh, et al.. (2024). Transporter targeted-carnitine modified pectin-chitosan nanoparticles for inositol hexaphosphate delivery to the colon: An in silico and in vitro approach. International Journal of Biological Macromolecules. 263(Pt 2). 130517–130517. 7 indexed citations
5.
Pant, Suyash & N. R. Jena. (2024). Binding of Nucleotide Inhibitors to the NS5 RdRp of the ZIKA Virus in the Replication Initiation State. Current Medicinal Chemistry. 32(12). 2460–2476. 1 indexed citations
6.
Jena, N. R. & Suyash Pant. (2023). Peptide inhibitors derived from the nsp7 and nsp8 cofactors of nsp12 targeting different substrate binding sites of nsp12 of the SARS-CoV-2. Journal of Biomolecular Structure and Dynamics. 42(13). 7077–7089. 1 indexed citations
7.
8.
Pant, Suyash & N. R. Jena. (2022). C-Terminal Extended Hexapeptides as Potent Inhibitors of the NS2B-NS3 Protease of the ZIKA Virus. Frontiers in Medicine. 9. 6 indexed citations
9.
Thakur, Ashima, et al.. (2022). Synthesis and evaluation of small organic molecule as reactivator of organophosphorus inhibited acetylcholinesterase. Drug and Chemical Toxicology. 47(1). 26–41. 1 indexed citations
10.
Mandalapu, Dhanaraju, Shagun Krishna, Suyash Pant, et al.. (2022). Novel Curcumin Monocarbonyl Analogue-Dithiocarbamate hybrid molecules target human DNA ligase I and show improved activity against colon cancer. Medicinal Chemistry Research. 32(1). 57–75. 1 indexed citations
11.
Pant, Suyash, et al.. (2022). Structures and dynamics of peptide and peptidomimetic inhibitors bound to the NS2B-NS3 protease of the ZIKA virus. Journal of Biomolecular Structure and Dynamics. 41(7). 3076–3088. 7 indexed citations
12.
13.
Pant, Suyash, et al.. (2022). Borane-catalyzed dehydrogenative C–C bond formation of indoles with N-tosylhydrazones: an experimental and computational study. Organic Chemistry Frontiers. 9(13). 3428–3437. 6 indexed citations
14.
Jena, N. R., Suyash Pant, & Hemant Kumar Srivastava. (2021). Artificially expanded genetic information systems (AEGISs) as potent inhibitors of the RNA-dependent RNA polymerase of the SARS-CoV-2. Journal of Biomolecular Structure and Dynamics. 40(14). 6381–6397. 19 indexed citations
15.
Pant, Suyash & N. R. Jena. (2021). Inhibition of the RNA-dependent RNA Polymerase of the SARS-CoV-2 by Short Peptide Inhibitors. European Journal of Pharmaceutical Sciences. 167. 106012–106012. 11 indexed citations
16.
Thakur, Ashima, et al.. (2021). Interaction study of monoisoamyl dimercaptosuccinic acid with bovine serum albumin using biophysical and molecular docking approaches. Scientific Reports. 11(1). 4068–4068. 20 indexed citations
17.
Pant, Suyash, et al.. (2020). Peptide-like and small-molecule inhibitors against Covid-19. Journal of Biomolecular Structure and Dynamics. 39(8). 2904–2913. 243 indexed citations
18.
Pant, Suyash, et al.. (2019). Modeling antimalarial and antihuman African trypanosomiasis compounds: a ligand- and structure-based approaches. Molecular Diversity. 24(4). 1107–1124. 16 indexed citations
19.
Tiwari, Keshri Nath, et al.. (2018). Efficient synthesis of spirooxindole-pyrrolizidines and dispirooxindole-piperazines. Synthetic Communications. 48(7). 802–808. 6 indexed citations
20.
Tiwari, Keshri Nath, et al.. (2016). Highly efficient and regioselective synthesis of spirooxindolo pyrrolizidines by reaction of isatin, proline and acrylonitrile/methyl acrylate in water. Tetrahedron Letters. 57(21). 2286–2289. 19 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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