Gregory Dyson
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Cancer Genomics and Diagnostics 8
- Cancer-related molecular mechanisms research 7
- Cancer, Lipids, and Metabolism 6
- Co-authors
- Fazlul H. Sarkar (4 shared papers)Dejuan Kong (2 shared papers)Krishna Rao Maddipati (2 shared papers)Yiwei Li (3 shared papers)Bin Bao (2 shared papers)Guohui Wang (1 shared paper)Paul J. Williams (1 shared paper)Kezhong Zhang (1 shared paper)
- Journals
- Journal of Clinical Oncology (8 papers)Blood (7 papers)PLoS ONE (4 papers)Oncotarget (3 papers)Carcinogenesis (2 papers)
- Partner nations
- United StatesSouth KoreaQatar
In The Last Decade
Gregory Dyson
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 289
- Oncology 264
- Molecular Biology 542
- Geriatrics and Gerontology 19
- Biochemistry 42
Countries citing papers authored by Gregory Dyson
This map shows the geographic impact of Gregory 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 Gregory Dyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Dyson more than expected).
Fields of papers citing papers by Gregory Dyson
This network shows the impact of papers produced by Gregory 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 Gregory Dyson. The network helps show where Gregory Dyson may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 162 | |
| 2 | 2012 | 94 | |
| 3 | 2020 | 45 | |
| 4 | 2017 | 44 | |
| 5 | 2019 | 43 | |
| 6 | 2014 | 39 | |
| 7 | 2014 | 39 | |
| 8 | Comprehensive molecular oncogenomic profiling and miRNA analysis of prostate cancer. | 2013 | 39 |
| 9 | 2017 | 35 | |
| 10 | 2016 | 34 | |
| 11 | 2011 | 32 | |
| 12 | 2016 | 30 | |
| 13 | 2015 | 29 | |
| 14 | 2018 | 26 | |
| 15 | 2021 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2017 | 24 | |
| 18 | 2017 | 24 | |
| 19 | 2022 | 23 | |
| 20 | 2020 | 20 |
About Gregory Dyson
Gregory Dyson is a scholar working on Cancer Research, Molecular Biology, Oncology, Hematology and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Acute Myeloid Leukemia Research (8 papers), Cancer-related molecular mechanisms research (7 papers), Lung Cancer Research Studies (6 papers), Cancer, Lipids, and Metabolism (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Neuroblastoma Research and Treatments (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Cancer Research (289 citations), Oncology (264 citations), Molecular Biology (542 citations), Geriatrics and Gerontology (19 citations) and Biochemistry (42 citations). Gregory Dyson has collaborated with scholars based in United States, South Korea and Qatar. Frequent co-authors include Fazlul H. Sarkar, Dejuan Kong, Krishna Rao Maddipati, Yiwei Li, Bin Bao, Guohui Wang, Paul J. Williams, Kezhong Zhang, Ze Zheng and Xuebao Zhang. Their work appears in journals such as Journal of Clinical Oncology, Blood, PLoS ONE, Oncotarget and Carcinogenesis.
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.