Ramasamy Sakthivel
- Molecular Biology
- Organic Chemistry top 10%
- Genetics top 10%
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- M. Michael GromihaDevarajan KarunagaranPalaninathan VaralakshmiChandrabose KarthikeyanE. ManivannanN. S. Hari Narayana MoorthyPiyush TrivediPeriandavan Kalaiselvi
- Topics
- Kidney Stones and Urolithiasis Treatments (5 papers)Protein Structure and Dynamics (4 papers)Machine Learning in Bioinformatics (4 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Ramasamy Sakthivel
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 616
- Organic Chemistry 216
- Genetics 155
- Pulmonary and Respiratory Medicine 153
- Oncology 141
Countries citing papers authored by Ramasamy Sakthivel
This map shows the geographic impact of Ramasamy Sakthivel'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 Ramasamy Sakthivel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramasamy Sakthivel more than expected).
Fields of papers citing papers by Ramasamy Sakthivel
This network shows the impact of papers produced by Ramasamy Sakthivel. 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 Ramasamy Sakthivel. The network helps show where Ramasamy Sakthivel may publish in the future.
Co-authorship network of co-authors of Ramasamy Sakthivel
This figure shows the co-authorship network connecting the top 25 collaborators of Ramasamy Sakthivel. A scholar is included among the top collaborators of Ramasamy Sakthivel 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 Ramasamy Sakthivel. Ramasamy Sakthivel 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 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 31 | |
| 6 | 29 | |
| 7 | 7 | |
| 8 | Evaluation of Cytotoxic and Anti-Tumor Activities of Coscinium fenestratum Extract | 2 |
| 9 | 35 | |
| 10 | 229 | |
| 11 | 7 | |
| 12 | 60 | |
| 13 | 11 | |
| 14 | 38 | |
| 15 | 33 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 10 | |
| 19 | 6 | |
| 20 | 7 |
About Ramasamy Sakthivel
Ramasamy Sakthivel is a scholar working on Molecular Biology, Complementary and Manual Therapy and Genetics, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (5 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Genetics (155 citations), Complementary and Manual Therapy (25 citations) and Molecular Biology (616 citations). Ramasamy Sakthivel has collaborated with scholars based in India, United States and Japan. Frequent co-authors include M. Michael Gromiha, Devarajan Karunagaran, Palaninathan Varalakshmi, Chandrabose Karthikeyan, E. Manivannan, N. S. Hari Narayana Moorthy, Piyush Trivedi, Periandavan Kalaiselvi, Shukkur M. Farooq and Keith R. McCrae. Their work appears in journals such as Journal of Biological Chemistry, Blood and Bioinformatics.
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.