Ganesha Rai
- Molecular Biology top 5%
- Organic Chemistry top 10%
- Oncology
- Computational Theory and Mathematics top 5%
- Epidemiology
- Co-authors
- Anton SimeonovDavid J. MaloneyAjit JadhavTheodore R. HolmanCraig J. ThomasVictor KenyonJames IngleseWilliam Leister
- Topics
- Computational Drug Discovery Methods (12 papers)Ubiquitin and proteasome pathways (7 papers)Inflammatory mediators and NSAID effects (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Ganesha Rai
84 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.3k
- Organic Chemistry 311
- Oncology 175
- Computational Theory and Mathematics 163
- Epidemiology 153
Countries citing papers authored by Ganesha Rai
This map shows the geographic impact of Ganesha Rai'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 Ganesha Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ganesha Rai more than expected).
Fields of papers citing papers by Ganesha Rai
This network shows the impact of papers produced by Ganesha Rai. 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 Ganesha Rai. The network helps show where Ganesha Rai may publish in the future.
Co-authorship network of co-authors of Ganesha Rai
This figure shows the co-authorship network connecting the top 25 collaborators of Ganesha Rai. A scholar is included among the top collaborators of Ganesha Rai 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 Ganesha Rai. Ganesha Rai 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 | 0 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 19 | |
| 12 | 35 | |
| 13 | 63 | |
| 14 | 20 | |
| 15 | 17 | |
| 16 | 17 | |
| 17 | 31 | |
| 18 | 148 | |
| 19 | 16 | |
| 20 | Regiospecific reaction: Synthesis and biological assay of some sydnone and triazole-containing Mannich derivatives | 2 |
About Ganesha Rai
Ganesha Rai is a scholar working on Toxicology, Parasitology and Virology, having authored 90 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Ubiquitin and proteasome pathways (7 papers) and Inflammatory mediators and NSAID effects (7 papers). The work is most often cited by research in Biochemistry (140 citations), Molecular Biology (1.3k citations) and Toxicology (59 citations). Ganesha Rai has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Anton Simeonov, David J. Maloney, Ajit Jadhav, Theodore R. Holman, Craig J. Thomas, Victor Kenyon, James Inglese, William Leister, Wendy Lea and Bryan T. Mott. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.