Greg Dyson
Impact in
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- Cancer Genomics and Diagnostics
- Otorhinolaryngology top 10%
Papers in
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- RNA modifications and cancer 4
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- Cancer Genomics and Diagnostics 4
- MicroRNA in disease regulation 3
- Co-authors
- Aliccia Bollig‐Fischer (12 shared papers)Cristina Mitrea (5 shared papers)Bin Bao (5 shared papers)Isaac J. Powell (4 shared papers)Ann G. Schwartz (4 shared papers)Richard Everson (1 shared paper)Mehsati Herawi (1 shared paper)Craig N. Giroux (1 shared paper)
- Journals
- Cancer Research (3 papers)Scientific Reports (2 papers)Molecular Oncology (2 papers)Journal of Biopharmaceutical Statistics (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesDenmarkItaly
In The Last Decade
Greg Dyson
34 papers receiving 550 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 114
- Otorhinolaryngology 32
- Oncology 192
- Pulmonary and Respiratory Medicine 172
- Immunology 71
Countries citing papers authored by Greg Dyson
This map shows the geographic impact of Greg Dyson'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 Greg Dyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Dyson more than expected).
Fields of papers citing papers by Greg Dyson
This network shows the impact of papers produced by Greg Dyson. 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 Greg Dyson. The network helps show where Greg Dyson may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Dyson, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 127 | |
| 2 | 2018 | 73 | |
| 3 | 2017 | 50 | |
| 4 | 2004 | 43 | |
| 5 | 2020 | 31 | |
| 6 | 2019 | 25 | |
| 7 | 2015 | 24 | |
| 8 | 2012 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2011 | 16 | |
| 12 | 2014 | 13 | |
| 13 | 2007 | 12 | |
| 14 | 2017 | 10 | |
| 15 | The extrema of circulating miR-17 are identified as biomarkers for aggressive prostate cancer. | 2018 | 9 |
| 16 | 2008 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2012 | 8 | |
| 19 | 2009 | 7 | |
| 20 | 2021 | 6 |
About Greg Dyson
Greg Dyson is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 36 papers that have together received 561 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), MicroRNA in disease regulation (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Cancer Research (114 citations), Otorhinolaryngology (32 citations), Oncology (192 citations), Pulmonary and Respiratory Medicine (172 citations) and Immunology (71 citations). Greg Dyson has collaborated with scholars based in United States, Denmark and Italy. Frequent co-authors include Aliccia Bollig‐Fischer, Cristina Mitrea, Bin Bao, Isaac J. Powell, Ann G. Schwartz, Richard Everson, Mehsati Herawi, Craig N. Giroux, Cathryn H. Bock and Susan Land. Their work appears in journals such as Cancer Research, Scientific Reports, Molecular Oncology, Journal of Biopharmaceutical Statistics 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.