Sekar Ramachandran
- Molecular Biology
- Cancer Research top 10%
- Cellular and Molecular Neuroscience
- Biochemistry top 10%
- Cell Biology
- Co-authors
- Richard A. CerioneJon W. EricksonWilliam P. KattYang GaoGeorgios SkiniotisClint A. StalneckerYunxing LiRalph J. DeBerardinis
- Topics
- Receptor Mechanisms and Signaling (12 papers)Cancer, Hypoxia, and Metabolism (11 papers)Protein Kinase Regulation and GTPase Signaling (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesIndiaDenmark
In The Last Decade
Sekar Ramachandran
27 papers receiving 623 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 496
- Cancer Research 267
- Cellular and Molecular Neuroscience 90
- Biochemistry 67
- Cell Biology 54
Countries citing papers authored by Sekar Ramachandran
This map shows the geographic impact of Sekar Ramachandran'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 Sekar Ramachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sekar Ramachandran more than expected).
Fields of papers citing papers by Sekar Ramachandran
This network shows the impact of papers produced by Sekar Ramachandran. 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 Sekar Ramachandran. The network helps show where Sekar Ramachandran may publish in the future.
Co-authorship network of co-authors of Sekar Ramachandran
This figure shows the co-authorship network connecting the top 25 collaborators of Sekar Ramachandran. A scholar is included among the top collaborators of Sekar Ramachandran 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 Sekar Ramachandran. Sekar Ramachandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 8 | |
| 3 | 24 | |
| 4 | 3 | |
| 5 | 25 | |
| 6 | 56 | |
| 7 | 1 | |
| 8 | 75 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 33 | |
| 12 | 24 | |
| 13 | 23 | |
| 14 | 81 | |
| 15 | 10 | |
| 16 | 14 | |
| 17 | 33 | |
| 18 | 9 | |
| 19 | 25 | |
| 20 | 25 |
About Sekar Ramachandran
Sekar Ramachandran is a scholar working on Cancer Research, Cellular and Molecular Neuroscience and Molecular Biology, having authored 27 papers that have together received 625 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). The work is most often cited by research in Cancer Research (267 citations), Biochemistry (67 citations) and Molecular Biology (496 citations). Sekar Ramachandran has collaborated with scholars based in United States, India and Denmark. Frequent co-authors include Richard A. Cerione, Jon W. Erickson, William P. Katt, Yang Gao, Georgios Skiniotis, Clint A. Stalnecker, Yunxing Li, Ralph J. DeBerardinis, Hongli Hu and Scott M. Ulrich. 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.