Sanjeev Kumar Singh
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Pollution top 1%
- Microbial bioremediation and biosurfactants
- Heavy metals in environment
Papers in
-
- Computational Drug Discovery Methods 70
- Virology 20
- HIV Research and Treatment 20
- Co-authors
- Chandrabose SelvarajAsha A. JuwarkarSunil Kumar TripathiAnuraj NayarisseriUmesh PanwarPoonam C. SinghMurali AarthyVenkatesan Suryanarayanan
- Journals
- Journal of Biomolecular Structure and Dynamics (25 papers)Current Topics in Medicinal Chemistry (16 papers)Advances in protein chemistry and structural biology (8 papers)Scientific Reports (7 papers)International Journal of Biological Macromolecules (6 papers)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Sanjeev Kumar Singh
265 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 174
- Computational Theory and Mathematics 1.4k
- Pollution 934
- Virology 192
- Infectious Diseases 750
- Complementary and alternative medicine 267
Countries citing papers authored by Sanjeev Kumar Singh
This map shows the geographic impact of Sanjeev Kumar Singh'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 Sanjeev Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Kumar Singh more than expected).
Fields of papers citing papers by Sanjeev Kumar Singh
This network shows the impact of papers produced by Sanjeev Kumar Singh. 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 Sanjeev Kumar Singh. The network helps show where Sanjeev Kumar Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjeev Kumar Singh, 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 | 2024 | 18 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 29 | |
| 12 | 2018 | 14 | |
| 13 | 2017 | 5 | |
| 14 | 2014 | 23 | |
| 15 | 2014 | 36 | |
| 16 | 2014 | 31 | |
| 17 | 2013 | 30 | |
| 18 | 2012 | 20 | |
| 19 | Oxidative stress and diabetes | 2009 | 2 |
| 20 | 2007 | 0 |
About Sanjeev Kumar Singh
Sanjeev Kumar Singh is a scholar working on Computational Theory and Mathematics, Virology, Pollution, Infectious Diseases and Molecular Biology, having authored 276 papers that have together received 6.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (70 papers), HIV/AIDS drug development and treatment (21 papers), HIV Research and Treatment (20 papers), Synthesis and biological activity (18 papers), Microbial bioremediation and biosurfactants (16 papers), Heavy metals in environment (9 papers), Mosquito-borne diseases and control (9 papers) and vaccines and immunoinformatics approaches (9 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Pollution (934 citations), Virology (192 citations), Infectious Diseases (750 citations) and Complementary and alternative medicine (267 citations). Sanjeev Kumar Singh has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Chandrabose Selvaraj, Asha A. Juwarkar, Sunil Kumar Tripathi, Anuraj Nayarisseri, Umesh Panwar, Poonam C. Singh, Murali Aarthy, Venkatesan Suryanarayanan, Karnati Konda Reddy and Kirti V. Dubey. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Current Topics in Medicinal Chemistry, Advances in protein chemistry and structural biology, Scientific Reports and International Journal of Biological Macromolecules.
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.