Diego Borges-Rivera
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
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- Genomics and Chromatin Dynamics 3
- Molecular Biology Techniques and Applications 3
- Genomics and Phylogenetic Studies 2
- Genetics, Bioinformatics, and Biomedical Research 1
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- Cancer Genomics and Diagnostics 1
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Zi Peng Fan (2 shared papers)Tong Ihn Lee (2 shared papers)Abraham S. Weintraub (2 shared papers)Denes Hnisz (2 shared papers)Rudolf Jaenisch (2 shared papers)Richard A. Young (2 shared papers)Aviv Regev (4 shared papers)Dawn Thompson (4 shared papers)
- Journals
- Science (2 papers)Nature Methods (1 paper)Cell Metabolism (1 paper)Genetics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Diego Borges-Rivera
9 papers receiving 1.8k citations
Diego Borges-Rivera's Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.5k
- Cancer Research 323
- Plant Science 272
- Genetics 174
- Agronomy and Crop Science 59
Countries citing papers authored by Diego Borges-Rivera
This map shows the geographic impact of Diego Borges-Rivera'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 Diego Borges-Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Borges-Rivera more than expected).
Fields of papers citing papers by Diego Borges-Rivera
This network shows the impact of papers produced by Diego Borges-Rivera. 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 Diego Borges-Rivera. The network helps show where Diego Borges-Rivera may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Borges-Rivera, 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 | Activation of proto-oncogenes by disruption of chromosome neighborhoods Hit paper breakdown → | 2016 | 679 |
| 2 | 2013 | 332 | |
| 3 | 2015 | 269 | |
| 4 | 2016 | 218 | |
| 5 | 2015 | 142 | |
| 6 | 2010 | 121 | |
| 7 | 2013 | 18 | |
| 8 | Early-branching gut fungi possess a large, comprehensive array of biomass-degrading enzymes | 2016 | 4 |
| 9 | 2013 | 2 | |
| 10 | 2024 | 0 |
About Diego Borges-Rivera
Diego Borges-Rivera is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Epidemiology and Computational Theory and Mathematics, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Molecular Biology Techniques and Applications (3 papers), Genomics and Phylogenetic Studies (2 papers), Biofuel production and bioconversion (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Plant Molecular Biology Research (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Molecular Biology (1.5k citations), Cancer Research (323 citations), Plant Science (272 citations), Genetics (174 citations) and Agronomy and Crop Science (59 citations). Diego Borges-Rivera has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Zi Peng Fan, Tong Ihn Lee, Abraham S. Weintraub, Denes Hnisz, Rudolf Jaenisch, Richard A. Young, Aviv Regev, Dawn Thompson, Bryan R. Lajoie and Charles H. Li. Their work appears in journals such as Science, Nature Methods, Cell Metabolism, Genetics and Bioinformatics.
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.