M. Kay Washington
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 7
- Cancer Research top 10%
- NF-κB Signaling Pathways 3
- Hepatology top 5%
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- Genetic factors in colorectal cancer 6
- Molecular Biology top 10%
- Cancer-related gene regulation 3
- Biomedical Text Mining and Ontologies 3
- TGF-β signaling in diseases 3
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- Gastric Cancer Management and Outcomes 3
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- Biomedical and Engineering Education 3
- Co-authors
- R. Daniel BeauchampNatasha G. DeaneAnna L. MeansRobert L. FineGerald R. HankinsAngus T. De SouzaT.C. OrtonRadhika Aramandla
- Cited by
- OncologyCancer ResearchHepatology
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (4 papers)Gastroenterology (7 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
M. Kay Washington
33 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Oncology 556
- Cancer Research 284
- Hepatology 132
- Pathology and Forensic Medicine 232
- Molecular Biology 738
Countries citing papers authored by M. Kay Washington
This map shows the geographic impact of M. Kay Washington'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. Kay Washington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kay Washington more than expected).
Fields of papers citing papers by M. Kay Washington
This network shows the impact of papers produced by M. Kay Washington. 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. Kay Washington. The network helps show where M. Kay Washington may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Kay Washington, 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 | 2024 | 0 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 27 | |
| 4 | 2019 | 9 | |
| 5 | 2016 | 8 | |
| 6 | 2015 | 18 | |
| 7 | 2013 | 36 | |
| 8 | 2013 | 39 | |
| 9 | 2012 | 38 | |
| 10 | 2011 | 151 | |
| 11 | 2010 | 8 | |
| 12 | 2009 | 12 | |
| 13 | 2009 | 97 | |
| 14 | 2004 | 65 | |
| 15 | 2003 | 15 | |
| 16 | 2003 | 75 | |
| 17 | 2002 | 15 | |
| 18 | 2002 | 56 | |
| 19 | 2000 | 158 | |
| 20 | 1996 | 31 |
About M. Kay Washington
M. Kay Washington is a scholar working on Oncology, Pharmacy and Pathology and Forensic Medicine, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Genetic factors in colorectal cancer (6 papers), Cancer-related gene regulation (3 papers), Gastric Cancer Management and Outcomes (3 papers), Biomedical and Engineering Education (3 papers), Biomedical Text Mining and Ontologies (3 papers), TGF-β signaling in diseases (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Oncology (556 citations), Cancer Research (284 citations) and Hepatology (132 citations). M. Kay Washington has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include R. Daniel Beauchamp, Natasha G. Deane, Anna L. Means, Robert L. Fine, Gerald R. Hankins, Angus T. De Souza, T.C. Orton, Radhika Aramandla, Rebecca L. Shattuck-Brandt and Raymond N. DuBois. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Gastroenterology.
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.