Shailendra Asthana

2.1k total citations
75 papers, 1.4k citations indexed

About

Shailendra Asthana is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Shailendra Asthana has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 19 papers in Computational Theory and Mathematics and 15 papers in Infectious Diseases. Recurrent topics in Shailendra Asthana's work include Computational Drug Discovery Methods (19 papers), RNA and protein synthesis mechanisms (7 papers) and Biochemical and Molecular Research (6 papers). Shailendra Asthana is often cited by papers focused on Computational Drug Discovery Methods (19 papers), RNA and protein synthesis mechanisms (7 papers) and Biochemical and Molecular Research (6 papers). Shailendra Asthana collaborates with scholars based in India, Italy and United States. Shailendra Asthana's co-authors include Mitul Srivastava, Anita Kumari, Lovika Mittal, Mrityunjay Singh, Fredric B. Kraemer, Salman Azhar, Wen‐Jun Shen, Dharam Pal Pathak, Amit Awasthi and Paolo Ruggerone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Shailendra Asthana

72 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shailendra Asthana India 22 554 370 304 167 145 75 1.4k
Yin Kwan Wong China 20 676 1.2× 221 0.6× 148 0.5× 158 0.9× 168 1.2× 48 1.5k
Gururao Hariprasad India 16 682 1.2× 648 1.8× 172 0.6× 180 1.1× 79 0.5× 54 1.6k
Xue Lei China 12 1.2k 2.1× 204 0.6× 338 1.1× 194 1.2× 160 1.1× 51 2.4k
Vidya Rajendran India 21 1.1k 2.0× 258 0.7× 448 1.5× 166 1.0× 81 0.6× 28 1.9k
Inhee Choi South Korea 17 543 1.0× 581 1.6× 255 0.8× 110 0.7× 182 1.3× 40 1.3k
John T.-A. Hsu Taiwan 17 494 0.9× 202 0.5× 100 0.3× 139 0.8× 152 1.0× 32 1.1k
Yew Mun Lee Singapore 20 825 1.5× 164 0.4× 211 0.7× 197 1.2× 235 1.6× 33 1.7k
Mazhar Salim Al Zoubi Jordan 22 588 1.1× 439 1.2× 67 0.2× 199 1.2× 132 0.9× 100 2.0k
Don K. Walker United Kingdom 22 631 1.1× 374 1.0× 284 0.9× 309 1.9× 194 1.3× 40 2.2k

Countries citing papers authored by Shailendra Asthana

Since Specialization
Citations

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

Fields of papers citing papers by Shailendra Asthana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailendra Asthana

This figure shows the co-authorship network connecting the top 25 collaborators of Shailendra Asthana. A scholar is included among the top collaborators of Shailendra Asthana 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 Shailendra Asthana. Shailendra Asthana 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.
Srivastava, Mitul, Deepika Kumari, Nitu Singh, et al.. (2025). Rational Computational Workflow for Structure-Guided Discovery of a Novel USP7 Inhibitor. Journal of Chemical Information and Modeling. 65(9). 4468–4487. 2 indexed citations
2.
Srivastava, Mitul, et al.. (2024). Hotspot site microenvironment in the deubiquitinase OTUB1 drives its stability and aggregation. Journal of Biological Chemistry. 300(6). 107315–107315. 1 indexed citations
3.
Agrawal, Tanvi, et al.. (2024). Inhibition of early RNA replication in Chikungunya and Dengue virus by lycorine: In vitro and in silico studies. Biochemical and Biophysical Research Communications. 730. 150393–150393. 4 indexed citations
4.
Neha, Kumari, Gagandeep Singh, Mrityunjay Singh, Shailendra Asthana, & Sharad Wakode. (2024). In silico strategies to recognize pharmacological constraints contrary to COX-2 and 5-LOX. Journal of Biomolecular Structure and Dynamics. 44(1). 384–401. 3 indexed citations
5.
Singh, Mrityunjay, et al.. (2024). Conformational dynamics of a nicotinic receptor neurotransmitter site. eLife. 13. 2 indexed citations
6.
Tiwari, Prabhakar, Sonu Kumar Gupta, Saqib Kidwai, et al.. (2024). Polyphosphate kinase-1 regulates bacterial and host metabolic pathways involved in pathogenesis of Mycobacterium tuberculosis. Proceedings of the National Academy of Sciences. 121(2). e2309664121–e2309664121. 10 indexed citations
7.
Sharma, Shilpa, et al.. (2023). Crystallographic mining driven computer-guided approach to identify the ASK1 inhibitor likely to perturb the catalytic region. Journal of Biomolecular Structure and Dynamics. 43(3). 1290–1304. 1 indexed citations
8.
9.
Kumar, Shiv, Rohit Verma, Tushar Kanti Maiti, et al.. (2023). RNA-Protein Interactome at the Hepatitis E Virus Internal Ribosome Entry Site. Microbiology Spectrum. 11(4). e0282722–e0282722. 1 indexed citations
10.
Srivastava, Mitul, et al.. (2023). SARS-CoV-2 envelope protein attain K ac mediated dynamical interaction network to adopt ‘histone mimic’ at BRD4 interface. Journal of Biomolecular Structure and Dynamics. 41(24). 15305–15319. 3 indexed citations
11.
Srivastava, Mitul, et al.. (2022). Identification and validation of potent inhibitor of Escherichia coli DHFR from MMV pathogen box. Journal of Biomolecular Structure and Dynamics. 41(11). 5117–5126. 3 indexed citations
12.
Kumari, Anita, et al.. (2021). Structure-based virtual screening, molecular dynamics simulation and in vitro evaluation to identify inhibitors against NAMPT. Journal of Biomolecular Structure and Dynamics. 40(20). 10332–10344. 9 indexed citations
13.
14.
Awasthi, Amit, et al.. (2021). Crystallographic landscape provides molecular insights into the modes of action of diverse ROR-γt modulators. Drug Discovery Today. 27(2). 652–663. 8 indexed citations
15.
Sharma, Kiran Bala, et al.. (2020). Japanese encephalitis virus capsid protein interacts with non-lipidated MAP1LC3 on replication membranes and lipid droplets. Journal of General Virology. 102(1). 23 indexed citations
16.
Singh, Mrityunjay, Mitul Srivastava, Paramesha Bugga, et al.. (2020). Molecular Dynamics Simulation Reveals New Pocket for the Design of Novel Amino Acid Coupled Sirt1 Selective Inhibitor. Biophysical Journal. 118(3). 207a–207a. 3 indexed citations
17.
Goel, Renu, et al.. (2020). Proteome analysis revealed the essential functions of protein phosphatase PP2A in the induction of Th9 cells. Scientific Reports. 10(1). 10992–10992. 7 indexed citations
18.
Parray, Hilal Ahmad, Shailendra Asthana, Naveen Yadav, et al.. (2020). Identification of an anti–SARS–CoV-2 receptor-binding domain–directed human monoclonal antibody from a naïve semisynthetic library. Journal of Biological Chemistry. 295(36). 12814–12821. 38 indexed citations
19.
Srivastava, Mitul, et al.. (2020). In-silico interactions of active Phytochemicals with c-MYC EGFR and ERBB2 oncoproteins. Chemical Biology Letters. 7(1). 47–54. 9 indexed citations
20.
Mittal, Lovika, Anita Kumari, Mitul Srivastava, Mrityunjay Singh, & Shailendra Asthana. (2020). Identification of potential molecules against COVID-19 main protease through structure-guided virtual screening approach. Journal of Biomolecular Structure and Dynamics. 39(10). 3662–3680. 159 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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