Kavitha Sarma
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Molecular Biology top 1%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 24
- Epigenetics and DNA Methylation 16
- Cancer-related gene regulation 11
- RNA modifications and cancer 10
- RNA and protein synthesis mechanisms 4
- DNA Repair Mechanisms 3
-
- Cancer-related molecular mechanisms research 6
- Co-authors
- Danny ReinbergJeannie T. LeeC. David AllisKenichi NishiokaRaphaël MargueronRobert E. KingstonRuth StewardRoopsha Sengupta
- Journals
- Molecular Cell (7 papers)Nature Communications (5 papers)Genes & Development (5 papers)Molecular and Cellular Biology (3 papers)Cell (2 papers)
- Partner nations
- United StatesChileAustria
In The Last Decade
Kavitha Sarma
36 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cancer Research 1.5k
- Molecular Biology 5.5k
- Genetics 817
- Aging 49
- Endocrinology 66
Countries citing papers authored by Kavitha Sarma
This map shows the geographic impact of Kavitha Sarma'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 Kavitha Sarma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kavitha Sarma more than expected).
Fields of papers citing papers by Kavitha Sarma
This network shows the impact of papers produced by Kavitha Sarma. 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 Kavitha Sarma. The network helps show where Kavitha Sarma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kavitha Sarma, 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 | 2026 | 1 | |
| 2 | 2024 | 21 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 43 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 58 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 34 | |
| 9 | 2021 | 37 | |
| 10 | 2020 | 22 | |
| 11 | 2015 | 1 | |
| 12 | 2013 | 297 | |
| 13 | 2012 | 80 | |
| 14 | 2010 | 129 | |
| 15 | 2010 | 21 | |
| 16 | 2005 | 157 | |
| 17 | 2005 | 142 | |
| 18 | 2002 | 202 | |
| 19 | 2002 | 473 | |
| 20 | 2002 | 454 |
About Kavitha Sarma
Kavitha Sarma is a scholar working on Molecular Biology, Cancer Research, Genetics, Biophysics and Speech and Hearing, having authored 37 papers that have together received 5.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (24 papers), Epigenetics and DNA Methylation (16 papers), Cancer-related gene regulation (11 papers), RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), RNA and protein synthesis mechanisms (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (5.5k citations), Genetics (817 citations), Aging (49 citations) and Endocrinology (66 citations). Kavitha Sarma has collaborated with scholars based in United States, Chile and Austria. Frequent co-authors include Danny Reinberg, Jeannie T. Lee, C. David Allis, Kenichi Nishioka, Raphaël Margueron, Robert E. Kingston, Ruth Steward, Roopsha Sengupta, Thomas Jenuwein and Günter Reuter. Their work appears in journals such as Molecular Cell, Nature Communications, Genes & Development, Molecular and Cellular Biology and Cell.
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.