Keith Edgemon
Impact in
- Neurology top 10%
- Neuroblastoma Research and Treatments
- Epidemiology top 10%
- Neuroendocrine Tumor Research Advances
Papers in
-
- Gene expression and cancer classification 4
- Genomics and Chromatin Dynamics 3
- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 2
- Oncology 2
- Cancer Cells and Metastasis 1
- Co-authors
- Francis S. Collins (6 shared papers)Peter C. Scacheri (2 shared papers)Allen M. Spiegel (2 shared papers)Stephen J. Marx (2 shared papers)Lisa J. Garrett-Beal (2 shared papers)Settara C. Chandrasekharappa (2 shared papers)Judy S. Crabtree (2 shared papers)Lawrence C. Brody (3 shared papers)
- Journals
- Nature Genetics (2 papers)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cancer Biology & Therapy (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Keith Edgemon
8 papers receiving 938 citations
Peers
Comparison fields: 5 of 85
- Neurology 167
- Epidemiology 277
- Oncology 204
- Genetics 225
- Molecular Biology 525
Countries citing papers authored by Keith Edgemon
This map shows the geographic impact of Keith Edgemon'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 Keith Edgemon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Edgemon more than expected).
Fields of papers citing papers by Keith Edgemon
This network shows the impact of papers produced by Keith Edgemon. 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 Keith Edgemon. The network helps show where Keith Edgemon may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Edgemon, 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 | 2001 | 395 | |
| 2 | 1999 | 292 | |
| 3 | 2001 | 90 | |
| 4 | 1998 | 82 | |
| 5 | 2004 | 48 | |
| 6 | 2009 | 44 | |
| 7 | 2000 | 21 | |
| 8 | 1998 | 21 |
About Keith Edgemon
Keith Edgemon is a scholar working on Molecular Biology, Oncology, Epidemiology, Neurology and Cell Biology, having authored 8 papers that have together received 993 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Genomics and Chromatin Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Cancer Cells and Metastasis (1 paper), Chromosomal and Genetic Variations (1 paper) and Neuroblastoma Research and Treatments (1 paper). The work is most often cited by research in Neurology (167 citations), Epidemiology (277 citations), Oncology (204 citations), Genetics (225 citations) and Molecular Biology (525 citations). Keith Edgemon has collaborated with scholars based in United States, India and China. Frequent co-authors include Francis S. Collins, Peter C. Scacheri, Allen M. Spiegel, Stephen J. Marx, Lisa J. Garrett-Beal, Settara C. Chandrasekharappa, Judy S. Crabtree, Lawrence C. Brody, Jerrold Michael Ward and Michael R. Emmert‐Buck. Their work appears in journals such as Nature Genetics, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Cancer Biology & Therapy and Journal of Lipid Research.
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.