Robert L. Diaz
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Circular RNAs in diseases
- RNA modifications and cancer
- CRISPR and Genetic Engineering
Papers in
-
- MicroRNA in disease regulation 3
- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 3
-
- Genomics and Chromatin Dynamics 9
- RNA modifications and cancer 7
- Epigenetics and DNA Methylation 5
- Pluripotent Stem Cells Research 3
- Genomics and Phylogenetic Studies 3
- Co-authors
- C. David AllisScott KeeneyNeil HunterEmmanuelle MartiniMichele A. ClearyJeffrey ShabanowitzDonald F. HuntPeter S. Linsley
- Journals
- Cancer Research (3 papers)Cell (2 papers)Journal of Visualized Experiments (2 papers)Journal of Clinical Oncology (2 papers)Cell Cycle (2 papers)
- Partner nations
- United StatesSouth AfricaFrance
In The Last Decade
Robert L. Diaz
28 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 743
- Molecular Biology 2.1k
- Aging 29
- Cell Biology 171
- Oncology 189
Countries citing papers authored by Robert L. Diaz
This map shows the geographic impact of Robert L. Diaz'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 Robert L. Diaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert L. Diaz more than expected).
Fields of papers citing papers by Robert L. Diaz
This network shows the impact of papers produced by Robert L. Diaz. 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 Robert L. Diaz. The network helps show where Robert L. Diaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert L. Diaz, 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 | 2024 | 4 | |
| 3 | 2023 | 20 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 0 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 4 | |
| 8 | 2018 | 19 | |
| 9 | 2014 | 1 | |
| 10 | 2013 | 112 | |
| 11 | 2009 | 42 | |
| 12 | 2009 | 236 | |
| 13 | 2009 | 119 | |
| 14 | 2006 | 245 | |
| 15 | 2006 | 119 | |
| 16 | 2006 | 55 | |
| 17 | 2006 | 71 | |
| 18 | 2006 | 83 | |
| 19 | 2005 | 205 | |
| 20 | 2003 | 12 |
About Robert L. Diaz
Robert L. Diaz is a scholar working on Cancer Research, Molecular Biology, Reproductive Medicine, Oncology and Hepatology, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (5 papers), Pluripotent Stem Cells Research (3 papers), MicroRNA in disease regulation (3 papers), Genomics and Phylogenetic Studies (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (743 citations), Molecular Biology (2.1k citations), Aging (29 citations), Cell Biology (171 citations) and Oncology (189 citations). Robert L. Diaz has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include C. David Allis, Scott Keeney, Neil Hunter, Emmanuelle Martini, Michele A. Cleary, Jeffrey Shabanowitz, Donald F. Hunt, Peter S. Linsley, Julja Burchard and Janell M. Schelter. Their work appears in journals such as Cancer Research, Cell, Journal of Visualized Experiments, Journal of Clinical Oncology and Cell Cycle.
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.