Sucha Sudarsanam
- Molecular Biology top 0.5%
- Oncology top 2%
- Cell Biology top 1%
- Spectroscopy top 1%
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Tony HunterGerard ManningGregory D. PlowmanJonathan BinghamDale E. JohnsonSean CaenepeelDavid B. WhyteCarl J. March
- Topics
- Cancer Immunotherapy and Biomarkers (7 papers)Glycosylation and Glycoproteins Research (4 papers)Protein Structure and Dynamics (4 papers)
- Cited by
- Molecular BiologyCell BiologyAging
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Sucha Sudarsanam
28 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 6.1k
- Oncology 1.4k
- Cell Biology 1.1k
- Spectroscopy 634
- Computational Theory and Mathematics 631
Countries citing papers authored by Sucha Sudarsanam
This map shows the geographic impact of Sucha Sudarsanam'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 Sucha Sudarsanam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sucha Sudarsanam more than expected).
Fields of papers citing papers by Sucha Sudarsanam
This network shows the impact of papers produced by Sucha Sudarsanam. 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 Sucha Sudarsanam. The network helps show where Sucha Sudarsanam may publish in the future.
Co-authorship network of co-authors of Sucha Sudarsanam
This figure shows the co-authorship network connecting the top 25 collaborators of Sucha Sudarsanam. A scholar is included among the top collaborators of Sucha Sudarsanam 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 Sucha Sudarsanam. Sucha Sudarsanam 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 | 59 | |
| 3 | 32 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | Interactions between traditional Chinese medicines and Western therapeutics. | 159 |
| 9 | 40 | |
| 10 | 235 | |
| 11 | Evolution of protein kinase signaling from yeast to manbreakdown → | 716 |
| 12 | The Protein Kinase Complement of the Human Genomebreakdown → | 6164 |
| 13 | 76 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 39 | |
| 18 | 14 | |
| 19 | 46 | |
| 20 | 31 |
About Sucha Sudarsanam
Sucha Sudarsanam is a scholar working on Aging, Oncology and Molecular Biology, having authored 29 papers that have together received 8.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Molecular Biology (6.1k citations), Cell Biology (1.1k citations) and Aging (96 citations). Sucha Sudarsanam has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Tony Hunter, Gerard Manning, Gregory D. Plowman, Jonathan Bingham, Dale E. Johnson, Sean Caenepeel, David B. Whyte, Carl J. March, Elena T. Chan and Marisela Tan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.