Atul Kumar Singh
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Toxicology top 5%
Papers in
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- RNA Research and Splicing 4
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- Computational Drug Discovery Methods 16
- Co-authors
- Shashank Kumar (54 shared papers)Prem Prakash Kushwaha (36 shared papers)Kumari Sunita Prajapati (28 shared papers)Mohd Shuaib (28 shared papers)Sanjay Gupta (15 shared papers)Sabyasachi Senapati (4 shared papers)Pratibha Banerjee (3 shared papers)Ashok Kumar (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (6 papers)Surgery (3 papers)Molecular Simulation (2 papers)American Journal of Therapeutics (2 papers)The American Journal of Surgery (2 papers)
- Partner nations
- IndiaUnited StatesMorocco
In The Last Decade
Atul Kumar Singh
104 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 130
- Transplantation 66
- Toxicology 48
- Computational Theory and Mathematics 239
- Infectious Diseases 227
- Complementary and alternative medicine 89
Countries citing papers authored by Atul Kumar Singh
This map shows the geographic impact of Atul 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 Atul 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 Atul Kumar Singh more than expected).
Fields of papers citing papers by Atul Kumar Singh
This network shows the impact of papers produced by Atul 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 Atul Kumar Singh. The network helps show where Atul Kumar Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Atul 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
Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2021 | 94 | |
| 3 | 2010 | 85 | |
| 4 | 2019 | 69 | |
| 5 | 2020 | 55 | |
| 6 | 2008 | 52 | |
| 7 | 2007 | 52 | |
| 8 | 2020 | 51 | |
| 9 | 2021 | 43 | |
| 10 | 2020 | 42 | |
| 11 | 2020 | 36 | |
| 12 | 2020 | 35 | |
| 13 | 2020 | 34 | |
| 14 | 2019 | 31 | |
| 15 | 2020 | 28 | |
| 16 | 2021 | 25 | |
| 17 | 2018 | 24 | |
| 18 | 2014 | 23 | |
| 19 | 2022 | 21 | |
| 20 | 2021 | 20 |
About Atul Kumar Singh
Atul Kumar Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Cancer Research and Infectious Diseases, having authored 111 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Bioactive Compounds and Antitumor Agents (5 papers), MicroRNA in disease regulation (5 papers), Renal Transplantation Outcomes and Treatments (5 papers), Peptidase Inhibition and Analysis (5 papers), RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (4 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Transplantation (66 citations), Toxicology (48 citations), Computational Theory and Mathematics (239 citations), Infectious Diseases (227 citations) and Complementary and alternative medicine (89 citations). Atul Kumar Singh has collaborated with scholars based in India, United States and Morocco. Frequent co-authors include Shashank Kumar, Prem Prakash Kushwaha, Kumari Sunita Prajapati, Mohd Shuaib, Sanjay Gupta, Sabyasachi Senapati, Pratibha Banerjee, Ashok Kumar, V.D. Joshi and B.S. Bisht. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Surgery, Molecular Simulation, American Journal of Therapeutics and The American Journal of Surgery.
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.