Sinnakaruppan Mathavan
- Molecular Biology
- Cell Biology top 10%
- Cancer Research top 10%
- Genetics
- Plant Science
- Co-authors
- David GreenaldZhiyuan GongChor Hui Vivien KohSiew Hong LamAnh Tuan NguyenAlexander EmelyanovT. J. PandianJan M. Spitsbergen
- Topics
- Zebrafish Biomedical Research Applications (8 papers)Cancer, Hypoxia, and Metabolism (5 papers)Retinal Diseases and Treatments (4 papers)
- Partner nations
- SingaporeIndiaUnited States
In The Last Decade
Sinnakaruppan Mathavan
29 papers receiving 686 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 377
- Cell Biology 199
- Cancer Research 178
- Genetics 125
- Plant Science 68
Countries citing papers authored by Sinnakaruppan Mathavan
This map shows the geographic impact of Sinnakaruppan Mathavan'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 Sinnakaruppan Mathavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinnakaruppan Mathavan more than expected).
Fields of papers citing papers by Sinnakaruppan Mathavan
This network shows the impact of papers produced by Sinnakaruppan Mathavan. 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 Sinnakaruppan Mathavan. The network helps show where Sinnakaruppan Mathavan may publish in the future.
Co-authorship network of co-authors of Sinnakaruppan Mathavan
This figure shows the co-authorship network connecting the top 25 collaborators of Sinnakaruppan Mathavan. A scholar is included among the top collaborators of Sinnakaruppan Mathavan 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 Sinnakaruppan Mathavan. Sinnakaruppan Mathavan 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 | 2 | |
| 3 | 1 | |
| 4 | Risk Factors for Proliferative Diabetic Retinopathy and Diabetic Macular Edema in the South Indian Population | 1 |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 27 | |
| 8 | 27 | |
| 9 | 22 | |
| 10 | 71 | |
| 11 | 97 | |
| 12 | 17 | |
| 13 | 13 | |
| 14 | 14 | |
| 15 | Microinjection of rat growth-hormone gene into zebrafish egg and production of transgenic zebrafish | 7 |
| 16 | 35 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 22 | |
| 20 | 5 |
About Sinnakaruppan Mathavan
Sinnakaruppan Mathavan is a scholar working on Ophthalmology, Cell Biology and Cancer Research, having authored 30 papers that have together received 707 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (8 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Cell Biology (199 citations), Cancer Research (178 citations) and Developmental Neuroscience (39 citations). Sinnakaruppan Mathavan has collaborated with scholars based in Singapore, India and United States. Frequent co-authors include David Greenald, Zhiyuan Gong, Chor Hui Vivien Koh, Siew Hong Lam, Anh Tuan Nguyen, Alexander Emelyanov, T. J. Pandian, Jan M. Spitsbergen, Serguei Parinov and Dhriti Sengupta. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.
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.