Jyoti Singh
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 5%
- Health, Toxicology and Mutagenesis top 5%
- Geometry and Topology top 5%
- Co-authors
- Padmakar V. KhadikarVijay K. AgrawalM.K.J. SiddiquiJyoti KumariPeter E. JohnDevendra Kumar PatelRatan Singh RayN. Mathur
- Topics
- Computational Drug Discovery Methods (25 papers)Free Radicals and Antioxidants (14 papers)Cholinesterase and Neurodegenerative Diseases (11 papers)
- Cited by
- Geometry and TopologyComputational Theory and MathematicsHealth, Toxicology and Mutagenesis
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of Hazardous Materials
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Jyoti Singh
69 papers receiving 983 citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 259
- Organic Chemistry 218
- Computational Theory and Mathematics 182
- Health, Toxicology and Mutagenesis 154
- Geometry and Topology 127
Countries citing papers authored by Jyoti Singh
This map shows the geographic impact of Jyoti 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 Jyoti Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyoti Singh more than expected).
Fields of papers citing papers by Jyoti Singh
This network shows the impact of papers produced by Jyoti 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 Jyoti Singh. The network helps show where Jyoti Singh may publish in the future.
Co-authorship network of co-authors of Jyoti Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Jyoti Singh. A scholar is included among the top collaborators of Jyoti 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 Jyoti Singh. Jyoti 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 | 0 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 3 | |
| 15 | QSAR Modeling of Carbonic Anhydrase-I, -II and -IV Inhibitory Activities: Relative Correlation Potential of Six Topological Indices | 6 |
| 16 | QSAR STUDY ON THE INHIBITION OF THE HUMAN CARBONIC ANHYDRASE CYTOSOLIC ISOZYME VII | 4 |
| 17 | 5 | |
| 18 | 45 | |
| 19 | 11 | |
| 20 | 9 |
About Jyoti Singh
Jyoti Singh is a scholar working on Computational Theory and Mathematics, Pharmacology and Geometry and Topology, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), Free Radicals and Antioxidants (14 papers) and Cholinesterase and Neurodegenerative Diseases (11 papers). The work is most often cited by research in Geometry and Topology (127 citations), Computational Theory and Mathematics (182 citations) and Health, Toxicology and Mutagenesis (154 citations). Jyoti Singh has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Padmakar V. Khadikar, Vijay K. Agrawal, M.K.J. Siddiqui, Jyoti Kumari, Peter E. John, Devendra Kumar Patel, Ratan Singh Ray, N. Mathur, Claudiu T. Supuran and S. S. Ram. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of Hazardous Materials.
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.