Vivek Dhar Dwivedi
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- Computational Drug Discovery Methods 23
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 9
- SARS-CoV-2 and COVID-19 Research 5
- Virology top 10%
- Poxvirus research and outbreaks 6
- Pharmacology top 5%
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- Mosquito-borne diseases and control 17
- Malaria Research and Control 7
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- Biochemical and Molecular Research 8
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- Transgenic Plants and Applications 6
- Co-authors
- Shiv BharadwajSang Gu KangSarad Kumar MishraUmesh YadavaEsam I. AzharAmit DubeyKyung Eun LeeLeena H. Bajrai
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Scientific Reports (6 papers)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Vivek Dhar Dwivedi
72 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 403
- Infectious Diseases 299
- Virology 74
- Complementary and alternative medicine 114
- Pharmacology 121
Countries citing papers authored by Vivek Dhar Dwivedi
This map shows the geographic impact of Vivek Dhar Dwivedi'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 Vivek Dhar Dwivedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Dhar Dwivedi more than expected).
Fields of papers citing papers by Vivek Dhar Dwivedi
This network shows the impact of papers produced by Vivek Dhar Dwivedi. 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 Vivek Dhar Dwivedi. The network helps show where Vivek Dhar Dwivedi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vivek Dhar Dwivedi, 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 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 27 | |
| 16 | 2021 | 0 | |
| 17 | 2021 | 73 | |
| 18 | 2020 | 49 | |
| 19 | 2020 | 35 | |
| 20 | 2019 | 16 |
About Vivek Dhar Dwivedi
Vivek Dhar Dwivedi is a scholar working on Virology, Computational Theory and Mathematics and Infectious Diseases, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Mosquito-borne diseases and control (17 papers), Tuberculosis Research and Epidemiology (9 papers), Biochemical and Molecular Research (8 papers), Malaria Research and Control (7 papers), Transgenic Plants and Applications (6 papers), Poxvirus research and outbreaks (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Computational Theory and Mathematics (403 citations), Infectious Diseases (299 citations) and Virology (74 citations). Vivek Dhar Dwivedi has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Shiv Bharadwaj, Sang Gu Kang, Sarad Kumar Mishra, Umesh Yadava, Esam I. Azhar, Amit Dubey, Kyung Eun Lee, Leena H. Bajrai, Sanjay Kumar and Thamir A. Alandijany. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.