Atul Kumar Singh
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Computational Drug Discovery Methods
Papers in
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- RNA modifications and cancer 4
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- Computational Drug Discovery Methods 12
- Co-authors
- Shashank Kumar (41 shared papers)Prem Prakash Kushwaha (22 shared papers)Kumari Sunita Prajapati (24 shared papers)Mohd Shuaib (23 shared papers)Sanjay Gupta (15 shared papers)Sabyasachi Senapati (5 shared papers)Ashok Kumar (1 shared paper)B.S. Bisht (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (6 papers)Surgery (3 papers)The American Journal of Surgery (2 papers)Cancer Letters (2 papers)Journal of Crohn s and Colitis (2 papers)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Atul Kumar Singh
86 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 129
- Transplantation 71
- Computational Theory and Mathematics 222
- Toxicology 47
- Infectious Diseases 236
- Cancer Research 156
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 141 | |
| 2 | 2021 | 86 | |
| 3 | 2010 | 75 | |
| 4 | 2019 | 65 | |
| 5 | 2020 | 55 | |
| 6 | 2008 | 48 | |
| 7 | 2007 | 47 | |
| 8 | 2020 | 46 | |
| 9 | 2021 | 43 | |
| 10 | 2020 | 41 | |
| 11 | 2020 | 37 | |
| 12 | 2020 | 31 | |
| 13 | 2020 | 31 | |
| 14 | 2019 | 30 | |
| 15 | 2020 | 26 | |
| 16 | 2021 | 24 | |
| 17 | 2018 | 22 | |
| 18 | 2014 | 21 | |
| 19 | 2021 | 20 | |
| 20 | 2021 | 18 |
About Atul Kumar Singh
Atul Kumar Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Epidemiology and Oncology, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Renal Transplantation Outcomes and Treatments (8 papers), Bioactive Compounds and Antitumor Agents (5 papers), Peptidase Inhibition and Analysis (5 papers), MicroRNA in disease regulation (5 papers), RNA modifications and cancer (4 papers), Synthesis and biological activity (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Transplantation (71 citations), Computational Theory and Mathematics (222 citations), Toxicology (47 citations), Infectious Diseases (236 citations) and Cancer Research (156 citations). Atul Kumar Singh has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Shashank Kumar, Prem Prakash Kushwaha, Kumari Sunita Prajapati, Mohd Shuaib, Sanjay Gupta, Sabyasachi Senapati, Ashok Kumar, B.S. Bisht, V.D. Joshi and Julian E. Losanoff. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Surgery, The American Journal of Surgery, Cancer Letters and Journal of Crohn s and Colitis.
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.