Shailendra Asthana
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 5
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- Computational Drug Discovery Methods 19
- Virology top 10%
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- RNA and protein synthesis mechanisms 7
- Biochemical and Molecular Research 6
- Geriatrics and Gerontology top 10%
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- Autophagy in Disease and Therapy 6
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- Viral Infections and Immunology Research 5
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- Monoclonal and Polyclonal Antibodies Research 5
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- Synthesis and biological activity 4
- Co-authors
- Mitul SrivastavaAnita KumariLovika MittalMrityunjay SinghSalman AzharFredric B. KraemerWen‐Jun ShenDharam Pal Pathak
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Shailendra Asthana
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 123
- Infectious Diseases 370
- Computational Theory and Mathematics 304
- Virology 75
- Molecular Biology 554
- Geriatrics and Gerontology 27
Countries citing papers authored by Shailendra Asthana
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
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
The 25 scholars most cited alongside Shailendra Asthana, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 22 | |
| 12 | 2020 | 7 | |
| 13 | In-silico interactions of active Phytochemicals with c-MYC EGFR and ERBB2 oncoproteins | 2020 | 9 |
| 14 | 2020 | 23 | |
| 15 | 2020 | 38 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 159 | |
| 18 | 2020 | 16 | |
| 19 | 2019 | 24 | |
| 20 | 2014 | 54 |
About Shailendra Asthana
Shailendra Asthana is a scholar working on Computational Theory and Mathematics, Virology and Infectious Diseases, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), RNA and protein synthesis mechanisms (7 papers), Biochemical and Molecular Research (6 papers), Autophagy in Disease and Therapy (6 papers), Viral Infections and Immunology Research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Infectious Diseases (370 citations), Computational Theory and Mathematics (304 citations) and Virology (75 citations). Shailendra Asthana has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Mitul Srivastava, Anita Kumari, Lovika Mittal, Mrityunjay Singh, Salman Azhar, Fredric B. Kraemer, Wen‐Jun Shen, Dharam Pal Pathak, Amit Awasthi and Attilio V. Vargiu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.