Suresh B. Singh
- Molecular Biology top 5%
- Organic Chemistry top 1%
- Computational Theory and Mathematics top 1%
- Oncology top 10%
- Pharmacology top 5%
- Co-authors
- Ya‐Jun ZhengColin M. TiceRobert P. SheridanMu GaoJeffrey SkolnickEugene M. FluderHongyi ZhouPeter A. Kollman
- Topics
- Computational Drug Discovery Methods (15 papers)DNA and Nucleic Acid Chemistry (8 papers)Synthesis and biological activity (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesBrazilIsrael
In The Last Decade
Suresh B. Singh
47 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.3k
- Organic Chemistry 1.2k
- Computational Theory and Mathematics 429
- Oncology 260
- Pharmacology 211
Countries citing papers authored by Suresh B. Singh
This map shows the geographic impact of Suresh B. 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 Suresh B. Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suresh B. Singh more than expected).
Fields of papers citing papers by Suresh B. Singh
This network shows the impact of papers produced by Suresh B. 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 Suresh B. Singh. The network helps show where Suresh B. Singh may publish in the future.
Co-authorship network of co-authors of Suresh B. Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Suresh B. Singh. A scholar is included among the top collaborators of Suresh B. Singh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suresh B. Singh. Suresh B. Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 4 | |
| 3 | The use of spirocyclic scaffolds in drug discoverybreakdown → | 857 |
| 4 | 9 | |
| 5 | 20 | |
| 6 | 51 | |
| 7 | 38 | |
| 8 | 34 | |
| 9 | 19 | |
| 10 | 29 | |
| 11 | 66 | |
| 12 | 102 | |
| 13 | 7 | |
| 14 | 32 | |
| 15 | 14 | |
| 16 | 98 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 4 | |
| 20 | 4 |
About Suresh B. Singh
Suresh B. Singh is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Pharmacology, having authored 47 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), DNA and Nucleic Acid Chemistry (8 papers) and Synthesis and biological activity (7 papers). The work is most often cited by research in Organic Chemistry (1.2k citations), Computational Theory and Mathematics (429 citations) and Molecular Biology (1.3k citations). Suresh B. Singh has collaborated with scholars based in United States, Brazil and Israel. Frequent co-authors include Ya‐Jun Zheng, Colin M. Tice, Robert P. Sheridan, Mu Gao, Jeffrey Skolnick, Eugene M. Fluder, Hongyi Zhou, Peter A. Kollman, Simon K. Kearsley and Suse Broyde. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.