Sridhar Sivasubbu
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 20
- MicroRNA in disease regulation 14
- Cell Biology top 2%
- Molecular Biology top 5%
- RNA modifications and cancer 19
- Advanced biosensing and bioanalysis techniques 13
- CRISPR and Genetic Engineering 11
- Genomics and Phylogenetic Studies 11
- RNA Interference and Gene Delivery 10
- Genetics top 5%
- Genomics and Rare Diseases 12
- Aging top 10%
- Co-authors
- Vinod ScariaStephen C. EkkerDarius BalčiūnasSaakshi JalaliMukesh Kumar LalwaniDeeksha BhartiyaAshok PatowaryAnn E. Davidson
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Sridhar Sivasubbu
122 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 141
- Cancer Research 892
- Cell Biology 685
- Molecular Biology 2.3k
- Genetics 567
- Aging 35
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
The 25 scholars most cited alongside Sridhar Sivasubbu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 5 | |
| 11 | 2018 | 9 | |
| 12 | 2015 | 26 | |
| 13 | 2014 | 10 | |
| 14 | 2014 | 20 | |
| 15 | 2013 | 34 | |
| 16 | 2010 | 6 | |
| 17 | 2008 | 12 | |
| 18 | 2006 | 260 | |
| 19 | 2004 | 30 | |
| 20 | Induced spawning of spotted murrel (Channa punctatus) and catfish (Heteropneustes fossilis) using human chorionic gonadotropin and synthetic hormone (ovaprim). | 2002 | 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), MicroRNA in disease regulation (14 papers), Advanced biosensing and bioanalysis techniques (13 papers), Genomics and Rare Diseases (12 papers), CRISPR and Genetic Engineering (11 papers), Genomics and Phylogenetic Studies (11 papers) and RNA Interference and Gene Delivery (10 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.