E. Kay
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
-
- Cell death mechanisms and regulation 5
- Angiogenesis and VEGF in Cancer 5
- Oncology 13
- Cancer-related Molecular Pathways 3
- Co-authors
- Judith H. Harmey (6 shared papers)M. Leader (14 shared papers)D. J. Bouchier‐Hayes (4 shared papers)A O’Grady (8 shared papers)M. Da Costa (1 shared paper)Graham P. Pidgeon (1 shared paper)H. P. Redmond (1 shared paper)Christian Gulmann (3 shared papers)
- Journals
- Histopathology (4 papers)British journal of surgery (3 papers)Gut (2 papers)Applied immunohistochemistry & molecular morphology (2 papers)British Journal of Cancer (2 papers)
- Partner nations
- IrelandUnited KingdomAustralia
In The Last Decade
E. Kay
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 267
- Oncology 365
- Pharmacology 147
- Genetics 210
- Molecular Biology 496
Countries citing papers authored by E. Kay
This map shows the geographic impact of E. Kay'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 E. Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Kay more than expected).
Fields of papers citing papers by E. Kay
This network shows the impact of papers produced by E. Kay. 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 E. Kay. The network helps show where E. Kay may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Kay, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 159 | |
| 2 | 1999 | 125 | |
| 3 | 2001 | 84 | |
| 4 | 2002 | 82 | |
| 5 | 2007 | 74 | |
| 6 | 2002 | 67 | |
| 7 | 2011 | 56 | |
| 8 | 2009 | 50 | |
| 9 | 2009 | 45 | |
| 10 | 2001 | 41 | |
| 11 | 2015 | 37 | |
| 12 | 2002 | 35 | |
| 13 | 1999 | 32 | |
| 14 | 2000 | 28 | |
| 15 | 1994 | 21 | |
| 16 | 1997 | 20 | |
| 17 | 2003 | 19 | |
| 18 | 2009 | 19 | |
| 19 | 2003 | 16 | |
| 20 | 2005 | 15 |
About E. Kay
E. Kay is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Gastrointestinal Tumor Research and Treatment (4 papers), Genetic factors in colorectal cancer (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Cancer-related Molecular Pathways (3 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Cancer Research (267 citations), Oncology (365 citations), Pharmacology (147 citations), Genetics (210 citations) and Molecular Biology (496 citations). E. Kay has collaborated with scholars based in Ireland, United Kingdom and Australia. Frequent co-authors include Judith H. Harmey, M. Leader, D. J. Bouchier‐Hayes, A O’Grady, M. Da Costa, Graham P. Pidgeon, H. P. Redmond, Christian Gulmann, David M. Butler and Gillian Murphy. Their work appears in journals such as Histopathology, British journal of surgery, Gut, Applied immunohistochemistry & molecular morphology and British Journal of Cancer.
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.