Abhinav Nellore
Impact in
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- Black Holes and Theoretical Physics
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Cancer Research top 5%
Papers in
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- RNA modifications and cancer 12
- RNA Research and Splicing 9
- Genomics and Phylogenetic Studies 4
- Molecular Biology Techniques and Applications 4
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Steven S. Gubser (3 shared papers)Ben Langmead (9 shared papers)Reid F. Thompson (10 shared papers)Jun S. Song (4 shared papers)Mary A. Wood (6 shared papers)Peter C. Searson (1 shared paper)R. Lee Penn (1 shared paper)Gerko Oskam (1 shared paper)
- Journals
- Bioinformatics (5 papers)Genome biology (4 papers)Nature Reviews Genetics (2 papers)Journal of Virology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesMexicoUnited Kingdom
In The Last Decade
Abhinav Nellore
37 papers receiving 2.9k citations
Abhinav Nellore's Hit Papers
Peers
Comparison fields: 5 of 154
- Nuclear and High Energy Physics 602
- Cancer Research 565
- Astronomy and Astrophysics 399
- Molecular Biology 1.3k
- Infectious Diseases 321
Countries citing papers authored by Abhinav Nellore
This map shows the geographic impact of Abhinav Nellore'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 Abhinav Nellore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Nellore more than expected).
Fields of papers citing papers by Abhinav Nellore
This network shows the impact of papers produced by Abhinav Nellore. 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 Abhinav Nellore. The network helps show where Abhinav Nellore may publish in the future.
Co-authors
The 25 scholars most cited alongside Abhinav Nellore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oncogenic BRAF Regulates Oxidative Metabolism via PGC1α and MITF Hit paper breakdown → | 2013 | 610 |
| 2 | 2020 | 360 | |
| 3 | 2003 | 282 | |
| 4 | 2013 | 198 | |
| 5 | 2008 | 195 | |
| 6 | 2008 | 194 | |
| 7 | 2018 | 177 | |
| 8 | 2021 | 114 | |
| 9 | 2009 | 109 | |
| 10 | 2009 | 74 | |
| 11 | 2020 | 69 | |
| 12 | 2016 | 65 | |
| 13 | 2017 | 59 | |
| 14 | 2020 | 45 | |
| 15 | 2016 | 38 | |
| 16 | 2012 | 38 | |
| 17 | 2016 | 33 | |
| 18 | 2004 | 30 | |
| 19 | 2017 | 24 | |
| 20 | 2018 | 22 |
About Abhinav Nellore
Abhinav Nellore is a scholar working on Molecular Biology, Cancer Research, Nuclear and High Energy Physics, Astronomy and Astrophysics and Oncology, having authored 38 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), RNA Research and Splicing (9 papers), Black Holes and Theoretical Physics (5 papers), Cancer-related molecular mechanisms research (5 papers), Cosmology and Gravitation Theories (5 papers), Genomics and Phylogenetic Studies (4 papers), Molecular Biology Techniques and Applications (4 papers) and Quantum Chromodynamics and Particle Interactions (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (602 citations), Cancer Research (565 citations), Astronomy and Astrophysics (399 citations), Molecular Biology (1.3k citations) and Infectious Diseases (321 citations). Abhinav Nellore has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Steven S. Gubser, Ben Langmead, Reid F. Thompson, Jun S. Song, Mary A. Wood, Peter C. Searson, R. Lee Penn, Gerko Oskam, Julianne K. David and Benjamin R. Weeder. Their work appears in journals such as Bioinformatics, Genome biology, Nature Reviews Genetics, Journal of Virology and Scientific Reports.
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.