Sridhar Sivasubbu
- Molecular Biology top 5%
- Cancer Research top 2%
- Cell Biology top 2%
- Genetics top 5%
- Plant Science top 10%
- Co-authors
- Vinod ScariaStephen C. EkkerDarius BalčiūnasSaakshi JalaliMukesh Kumar LalwaniDeeksha BhartiyaAshok PatowaryAnn E. Davidson
- Topics
- Cancer-related molecular mechanisms research (20 papers)RNA modifications and cancer (19 papers)MicroRNA in disease regulation (14 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Sridhar Sivasubbu
122 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 2.3k
- Cancer Research 892
- Cell Biology 685
- Genetics 567
- Plant Science 211
Countries citing papers authored by Sridhar Sivasubbu
This map shows the geographic impact of Sridhar Sivasubbu'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 Sridhar Sivasubbu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sridhar Sivasubbu more than expected).
Fields of papers citing papers by Sridhar Sivasubbu
This network shows the impact of papers produced by Sridhar Sivasubbu. 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 Sridhar Sivasubbu. The network helps show where Sridhar Sivasubbu may publish in the future.
Co-authorship network of co-authors of Sridhar Sivasubbu
This figure shows the co-authorship network connecting the top 25 collaborators of Sridhar Sivasubbu. A scholar is included among the top collaborators of Sridhar Sivasubbu 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 Sridhar Sivasubbu. Sridhar Sivasubbu 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 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 2 | |
| 9 | 23 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 26 | |
| 13 | 10 | |
| 14 | 20 | |
| 15 | 34 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | 260 | |
| 19 | 30 | |
| 20 | Induced spawning of spotted murrel (Channa punctatus) and catfish (Heteropneustes fossilis) using human chorionic gonadotropin and synthetic hormone (ovaprim). | 62 |
About Sridhar Sivasubbu
Sridhar Sivasubbu is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 126 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (20 papers), RNA modifications and cancer (19 papers) and MicroRNA in disease regulation (14 papers). The work is most often cited by research in Cancer Research (892 citations), Cell Biology (685 citations) and Molecular Biology (2.3k citations). Sridhar Sivasubbu has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Vinod Scaria, Stephen C. Ekker, Darius Balčiūnas, Saakshi Jalali, Mukesh Kumar Lalwani, Deeksha Bhartiya, Ashok Patowary, Ann E. Davidson, Spencer Hermanson and Shamsudheen Karuthedath Vellarikkal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.