Subramaniam Ramachandran
- Molecular Biology top 5%
- Physiology top 5%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Pharmacology top 5%
- Co-authors
- Kazuaki TakabeSarah SpiegelArnold E. RuohoSheldon MilstienMasayuki NagahashiJohn M. CarneyMichael Y. AksenovPamela Cole
- Topics
- Natural Antidiabetic Agents Studies (12 papers)Pharmacological Receptor Mechanisms and Effects (8 papers)Sphingolipid Metabolism and Signaling (8 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- United StatesIndiaIran
In The Last Decade
Subramaniam Ramachandran
42 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.7k
- Physiology 604
- Cell Biology 396
- Cellular and Molecular Neuroscience 303
- Pharmacology 291
Countries citing papers authored by Subramaniam Ramachandran
This map shows the geographic impact of Subramaniam 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 Subramaniam Ramachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subramaniam Ramachandran more than expected).
Fields of papers citing papers by Subramaniam Ramachandran
This network shows the impact of papers produced by Subramaniam 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 Subramaniam Ramachandran. The network helps show where Subramaniam Ramachandran may publish in the future.
Co-authorship network of co-authors of Subramaniam Ramachandran
This figure shows the co-authorship network connecting the top 25 collaborators of Subramaniam Ramachandran. A scholar is included among the top collaborators of Subramaniam 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 Subramaniam Ramachandran. Subramaniam 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 | 7 | |
| 2 | 66 | |
| 3 | 24 | |
| 4 | 90 | |
| 5 | 265 | |
| 6 | 51 | |
| 7 | 34 | |
| 8 | 70 | |
| 9 | 55 | |
| 10 | 37 | |
| 11 | 220 | |
| 12 | 27 | |
| 13 | 84 | |
| 14 | 88 | |
| 15 | 52 | |
| 16 | 53 | |
| 17 | 80 | |
| 18 | 40 | |
| 19 | Analgesic, Anti-inflammatory and Diuretic Activities of Pisonia grandis | 6 |
| 20 | 153 |
About Subramaniam Ramachandran
Subramaniam Ramachandran is a scholar working on Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine and Biochemistry, having authored 43 papers that have together received 2.8k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (12 papers), Pharmacological Receptor Mechanisms and Effects (8 papers) and Sphingolipid Metabolism and Signaling (8 papers). The work is most often cited by research in Biological Psychiatry (122 citations), Molecular Biology (1.7k citations) and Cell Biology (396 citations). Subramaniam Ramachandran has collaborated with scholars based in United States, India and Iran. Frequent co-authors include Kazuaki Takabe, Sarah Spiegel, Arnold E. Ruoho, Sheldon Milstien, Masayuki Nagahashi, John M. Carney, Michael Y. Aksenov, Pamela Cole, Kenneth Hensley and Marina Aksenova. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.