M. Bryan Warf
Impact in
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- Genetic Neurodegenerative Diseases
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Melanoma and MAPK Pathways
- Muscle Physiology and Disorders
- Mitochondrial Function and Pathology
Papers in
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- RNA Research and Splicing 7
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 2
- Melanoma and MAPK Pathways 2
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- Cancer Genomics and Diagnostics 3
- Co-authors
- J. Andrew Berglund (5 shared papers)Masayuki Nakamori (1 shared paper)Charles A. Thornton (1 shared paper)Peter H. von Hippel (1 shared paper)W. Evan Johnson (2 shared papers)Brenda Bass (2 shared papers)Richard Wenstrup (5 shared papers)Darl D. Flake (5 shared papers)
- Journals
- Biomarkers in Medicine (2 papers)RNA (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
M. Bryan Warf
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 259
- Molecular Biology 960
- Cancer Research 155
- Aging 18
- Oncology 242
Countries citing papers authored by M. Bryan Warf
This map shows the geographic impact of M. Bryan Warf'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 M. Bryan Warf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bryan Warf more than expected).
Fields of papers citing papers by M. Bryan Warf
This network shows the impact of papers produced by M. Bryan Warf. 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 M. Bryan Warf. The network helps show where M. Bryan Warf may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Bryan Warf, 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 | 2009 | 234 | |
| 2 | 2009 | 212 | |
| 3 | 2007 | 142 | |
| 4 | 2009 | 119 | |
| 5 | 2015 | 108 | |
| 6 | 2016 | 74 | |
| 7 | 2017 | 50 | |
| 8 | 2012 | 49 | |
| 9 | 2011 | 45 | |
| 10 | 2008 | 34 | |
| 11 | 2015 | 19 | |
| 12 | 2017 | 9 | |
| 13 | 2015 | 7 | |
| 14 | 2014 | 4 |
About M. Bryan Warf
M. Bryan Warf is a scholar working on Molecular Biology, Cancer Research, Oncology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Cutaneous Melanoma Detection and Management (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (3 papers), Genetic Neurodegenerative Diseases (3 papers), RNA and protein synthesis mechanisms (2 papers), Melanoma and MAPK Pathways (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (259 citations), Molecular Biology (960 citations), Cancer Research (155 citations), Aging (18 citations) and Oncology (242 citations). M. Bryan Warf has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include J. Andrew Berglund, Masayuki Nakamori, Charles A. Thornton, Peter H. von Hippel, W. Evan Johnson, Brenda Bass, Richard Wenstrup, Darl D. Flake, Benjamin B. Roa and Kathryn A. Kolquist. Their work appears in journals such as Biomarkers in Medicine, RNA, Proceedings of the National Academy of Sciences, Cancer and Journal of Clinical Oncology.
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.