Vineet Bafna
Impact in
- Spectroscopy top 0.2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Metabolomics and Mass Spectrometry Studies
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
- Genetics 65
- Genomic variations and chromosomal abnormalities 24
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- Genomics and Phylogenetic Studies 62
- Gene expression and cancer classification 20
- RNA and protein synthesis mechanisms 19
- RNA modifications and cancer 18
- Co-authors
- Pavel A. PevznerVikas BansalStephen TannerPaul S. MischelNatalie CastellanaSamuel PayneNathan EdwardsEbrahim Zandi
- Journals
- Journal of Computational Biology (17 papers)Genome Research (12 papers)Journal of Proteome Research (10 papers)Bioinformatics (10 papers)Nature Communications (6 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Vineet Bafna
185 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Spectroscopy 1.9k
- Molecular Biology 7.5k
- Genetics 2.8k
- Cancer Research 1.4k
- Microbiology 473
Countries citing papers authored by Vineet Bafna
This map shows the geographic impact of Vineet Bafna'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 Vineet Bafna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vineet Bafna more than expected).
Fields of papers citing papers by Vineet Bafna
This network shows the impact of papers produced by Vineet Bafna. 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 Vineet Bafna. The network helps show where Vineet Bafna may publish in the future.
Co-authors
The 25 scholars most cited alongside Vineet Bafna, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 13 | |
| 5 | 2023 | 67 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 90 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 18 | |
| 11 | Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers Hit paper breakdown → | 2020 | 260 |
| 12 | 2020 | 55 | |
| 13 | 2019 | 12 | |
| 14 | 2017 | 35 | |
| 15 | 2017 | 24 | |
| 16 | 2017 | 5 | |
| 17 | 2009 | 73 | |
| 18 | 2008 | 213 | |
| 19 | SNPs Problems, Algorithms and Complexity | 2001 | 1 |
| 20 | 1995 | 35 |
About Vineet Bafna
Vineet Bafna is a scholar working on Genetics, Molecular Biology, Cancer Research, Spectroscopy and Genetics, having authored 199 papers that have together received 10.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (62 papers), Advanced Proteomics Techniques and Applications (26 papers), Cancer Genomics and Diagnostics (24 papers), Genomic variations and chromosomal abnormalities (24 papers), Gene expression and cancer classification (20 papers), RNA and protein synthesis mechanisms (19 papers), Chromosomal and Genetic Variations (19 papers) and RNA modifications and cancer (18 papers). The work is most often cited by research in Spectroscopy (1.9k citations), Molecular Biology (7.5k citations), Genetics (2.8k citations), Cancer Research (1.4k citations) and Microbiology (473 citations). Vineet Bafna has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Pavel A. Pevzner, Vikas Bansal, Stephen Tanner, Paul S. Mischel, Natalie Castellana, Samuel Payne, Nathan Edwards, Ebrahim Zandi, Roel G.W. Verhaak and Ari Frank. Their work appears in journals such as Journal of Computational Biology, Genome Research, Journal of Proteome Research, Bioinformatics and Nature Communications.
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.