Ramakrishnan Sasi
- Molecular Biology top 10%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Genetics top 10%
- Co-authors
- Yogesh PatelUjendra KumarMagalie RochevilleRamesh C. PatelCharles LeeCheng‐Chieh LinC. C. LinAkash R. Patel
- Topics
- Chromosomal and Genetic Variations (6 papers)Receptor Mechanisms and Signaling (6 papers)Neuroendocrine Tumor Research Advances (5 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaDiabetes
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Ramakrishnan Sasi
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 717
- Epidemiology 553
- Endocrinology, Diabetes and Metabolism 383
- Cellular and Molecular Neuroscience 261
- Genetics 244
Countries citing papers authored by Ramakrishnan Sasi
This map shows the geographic impact of Ramakrishnan Sasi'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 Ramakrishnan Sasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramakrishnan Sasi more than expected).
Fields of papers citing papers by Ramakrishnan Sasi
This network shows the impact of papers produced by Ramakrishnan Sasi. 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 Ramakrishnan Sasi. The network helps show where Ramakrishnan Sasi may publish in the future.
Co-authorship network of co-authors of Ramakrishnan Sasi
This figure shows the co-authorship network connecting the top 25 collaborators of Ramakrishnan Sasi. A scholar is included among the top collaborators of Ramakrishnan Sasi 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 Ramakrishnan Sasi. Ramakrishnan Sasi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | Apo ptosis of SiHa and HCT116 cancer cell-lines by Scorpaenopsis venosa toxic extracts | 0 |
| 5 | 91 | |
| 6 | 437 | |
| 7 | 23 | |
| 8 | 44 | |
| 9 | 37 | |
| 10 | 6 | |
| 11 | 145 | |
| 12 | 112 | |
| 13 | 30 | |
| 14 | 83 | |
| 15 | 3 | |
| 16 | 53 | |
| 17 | 7 | |
| 18 | 8 | |
| 19 | 34 | |
| 20 | 4 |
About Ramakrishnan Sasi
Ramakrishnan Sasi is a scholar working on Immunology and Allergy, Genetics and Molecular Biology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (6 papers), Receptor Mechanisms and Signaling (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (383 citations), Epidemiology (553 citations) and Cellular and Molecular Neuroscience (261 citations). Ramakrishnan Sasi has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Yogesh Patel, Ujendra Kumar, Magalie Rocheville, Ramesh C. Patel, Charles Lee, Cheng‐Chieh Lin, C. C. Lin, Ujendra Kumar, Akash R. Patel and S. C. Patel. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Diabetes.
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.