Savithri Ramurthy
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 5%
- Oncology
- Pathology and Forensic Medicine
- Co-authors
- Sharadha SubramanianAbran CostalesCynthia M. ShaferMarvin J. MillerPaul A. RenhoweBarry H. LevineJohanna M. JansenSylvia Ma
- Topics
- Melanoma and MAPK Pathways (9 papers)Cancer Mechanisms and Therapy (3 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Savithri Ramurthy
17 papers receiving 389 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 284
- Organic Chemistry 194
- Computational Theory and Mathematics 93
- Oncology 85
- Pathology and Forensic Medicine 42
Countries citing papers authored by Savithri Ramurthy
This map shows the geographic impact of Savithri Ramurthy'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 Savithri Ramurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Savithri Ramurthy more than expected).
Fields of papers citing papers by Savithri Ramurthy
This network shows the impact of papers produced by Savithri Ramurthy. 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 Savithri Ramurthy. The network helps show where Savithri Ramurthy may publish in the future.
Co-authorship network of co-authors of Savithri Ramurthy
This figure shows the co-authorship network connecting the top 25 collaborators of Savithri Ramurthy. A scholar is included among the top collaborators of Savithri Ramurthy 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 Savithri Ramurthy. Savithri Ramurthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 11 | |
| 3 | 10 | |
| 4 | 50 | |
| 5 | 35 | |
| 6 | 24 | |
| 7 | 11 | |
| 8 | 17 | |
| 9 | 17 | |
| 10 | 72 | |
| 11 | CHIR-265 is a potent selective inhibitor of c-Raf/B-Raf/mutB-Raf that effectively inhibits proliferation and survival of cancer cell lines with Ras/Raf pathway mutations | 18 |
| 12 | 58 | |
| 13 | 19 | |
| 14 | The synthesis of enantiomerically pure, highly functionalized heterocycles: the products of amino acid based acylnitroso hetero Diels-Alder reactions. | 4 |
| 15 | 18 | |
| 16 | 12 | |
| 17 | 11 |
About Savithri Ramurthy
Savithri Ramurthy is a scholar working on Organic Chemistry, Molecular Biology and Virology, having authored 17 papers that have together received 405 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (9 papers), Cancer Mechanisms and Therapy (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Organic Chemistry (194 citations), Computational Theory and Mathematics (93 citations) and Molecular Biology (284 citations). Savithri Ramurthy has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Sharadha Subramanian, Abran Costales, Cynthia M. Shafer, Marvin J. Miller, Paul A. Renhowe, Barry H. Levine, Johanna M. Jansen, Sylvia Ma, Payman Amiri and Darrin D. Stuart. Their work appears in journals such as Cancer Research, Journal of Medicinal Chemistry and The Journal of Organic 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.