Rama Kamesh Bikkavilli
- Molecular Biology top 10%
- Cancer-related gene regulation 15
- Wnt/β-catenin signaling in development and cancer 11
- Epigenetics and DNA Methylation 10
- RNA modifications and cancer 4
- Receptor Mechanisms and Signaling 2
- RNA Research and Splicing 2
- Cancer Research top 10%
- Oncology top 10%
- Cell Biology top 10%
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- Monoclonal and Polyclonal Antibodies Research 2
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- Calcium signaling and nucleotide metabolism 2
- Co-authors
- Craig C. MalbonRobert A. WinnMichelle Van ScoykSreedevi AvasaralaManoj Kumar Karuppusamy RathinamMichael E. FeiginStanley BorowiczJordi Tauler
- Partner nations
- United StatesRussiaSouth Korea
In The Last Decade
Rama Kamesh Bikkavilli
26 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.1k
- Cancer Research 231
- Oncology 254
- Cell Biology 142
- Immunology 102
Countries citing papers authored by Rama Kamesh Bikkavilli
This map shows the geographic impact of Rama Kamesh Bikkavilli'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 Rama Kamesh Bikkavilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rama Kamesh Bikkavilli more than expected).
Fields of papers citing papers by Rama Kamesh Bikkavilli
This network shows the impact of papers produced by Rama Kamesh Bikkavilli. 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 Rama Kamesh Bikkavilli. The network helps show where Rama Kamesh Bikkavilli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rama Kamesh Bikkavilli, 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 | 2023 | 33 | |
| 2 | 2020 | 14 | |
| 3 | 2019 | 31 | |
| 4 | 2017 | 18 | |
| 5 | 2016 | 182 | |
| 6 | 2015 | 44 | |
| 7 | 2015 | 100 | |
| 8 | 2015 | 22 | |
| 9 | The Soft Agar Colony Formation Assaybreakdown → | 2014 | 422 |
| 10 | 2014 | 0 | |
| 11 | 2013 | 13 | |
| 12 | 2013 | 18 | |
| 13 | 2012 | 32 | |
| 14 | 2012 | 41 | |
| 15 | 2012 | 15 | |
| 16 | 2011 | 1 | |
| 17 | 2009 | 77 | |
| 18 | 2008 | 163 | |
| 19 | 2005 | 25 | |
| 20 | 2005 | 16 |
About Rama Kamesh Bikkavilli
Rama Kamesh Bikkavilli is a scholar working on Physiology, Molecular Biology and Cell Biology, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related gene regulation (15 papers), Wnt/β-catenin signaling in development and cancer (11 papers), Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (4 papers), Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (231 citations) and Oncology (254 citations). Rama Kamesh Bikkavilli has collaborated with scholars based in United States, Russia and South Korea. Frequent co-authors include Craig C. Malbon, Robert A. Winn, Michelle Van Scoyk, Sreedevi Avasarala, Manoj Kumar Karuppusamy Rathinam, Michael E. Feigin, Stanley Borowicz, Jordi Tauler, Wonhwa Cho and Shu‐Lin Liu. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Development.
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.