Vetriselvan Subramaniyan
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Plant Science top 10%
- Biomaterials top 5%
- Food Science top 5%
- Co-authors
- Shivkanya FuloriaNeeraj Kumar FuloriaMahendran SekarYuan Seng WuVinoth KumarasamyKathiresan V. SathasivamNur Najihah Izzati Mat RaniDhanalekshmi Unnikrishnan Meenakshi
- Topics
- Extracellular vesicles in disease (14 papers)Natural Antidiabetic Agents Studies (11 papers)MicroRNA in disease regulation (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsFree Radical Biology and Medicine
- Partner nations
- MalaysiaIndiaSaudi Arabia
In The Last Decade
Vetriselvan Subramaniyan
176 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 960
- Biomedical Engineering 384
- Plant Science 361
- Biomaterials 345
- Food Science 300
Countries citing papers authored by Vetriselvan Subramaniyan
This map shows the geographic impact of Vetriselvan Subramaniyan'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 Vetriselvan Subramaniyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vetriselvan Subramaniyan more than expected).
Fields of papers citing papers by Vetriselvan Subramaniyan
This network shows the impact of papers produced by Vetriselvan Subramaniyan. 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 Vetriselvan Subramaniyan. The network helps show where Vetriselvan Subramaniyan may publish in the future.
Co-authorship network of co-authors of Vetriselvan Subramaniyan
This figure shows the co-authorship network connecting the top 25 collaborators of Vetriselvan Subramaniyan. A scholar is included among the top collaborators of Vetriselvan Subramaniyan 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 Vetriselvan Subramaniyan. Vetriselvan Subramaniyan 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 | 0 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 19 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 45 | |
| 14 | 30 | |
| 15 | 4 | |
| 16 | 22 | |
| 17 | 15 | |
| 18 | 41 | |
| 19 | 3 | |
| 20 | Chronic alcohol consumption: Increases the liver marker enzymes and hepatic damage on the albino Wister rat liver | 1 |
About Vetriselvan Subramaniyan
Vetriselvan Subramaniyan is a scholar working on Toxicology, Complementary and alternative medicine and Pharmaceutical Science, having authored 187 papers that have together received 3.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (14 papers), Natural Antidiabetic Agents Studies (11 papers) and MicroRNA in disease regulation (11 papers). The work is most often cited by research in Molecular Medicine (229 citations), Pharmaceutical Science (236 citations) and Biochemistry (219 citations). Vetriselvan Subramaniyan has collaborated with scholars based in Malaysia, India and Saudi Arabia. Frequent co-authors include Shivkanya Fuloria, Neeraj Kumar Fuloria, Mahendran Sekar, Yuan Seng Wu, Vinoth Kumarasamy, Kathiresan V. Sathasivam, Nur Najihah Izzati Mat Rani, Dhanalekshmi Unnikrishnan Meenakshi, Pei Teng Lum and Siew Hua Gan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Free Radical Biology and Medicine.
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.