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
-
- Angiogenesis and VEGF in Cancer 4
- Cell death mechanisms and regulation 3
- Oncology 9
- Cancer Cells and Metastasis 2
- Colorectal Cancer Treatments and Studies 2
- 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)Graham P. Pidgeon (1 shared paper)M. Da Costa (1 shared paper)H. P. Redmond (1 shared paper)Christian Gulmann (3 shared papers)
- Journals
- Histopathology (4 papers)British journal of surgery (3 papers)Applied immunohistochemistry & molecular morphology (2 papers)Applied Immunohistochemistry (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 97
- Cancer Research 215
- Oncology 280
- Pharmacology 134
- Immunology 135
- Genetics 181
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 | 160 | |
| 2 | 1999 | 125 | |
| 3 | 2001 | 85 | |
| 4 | 2002 | 83 | |
| 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 | 2009 | 21 | |
| 16 | 1994 | 21 | |
| 17 | 1997 | 20 | |
| 18 | 2003 | 19 | |
| 19 | 2003 | 16 | |
| 20 | 2005 | 15 |
About E. Kay
E. Kay is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Cell death mechanisms and regulation (3 papers), Genetic factors in colorectal cancer (3 papers), Cervical Cancer and HPV Research (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Cancer Cells and Metastasis (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Cancer Research (215 citations), Oncology (280 citations), Pharmacology (134 citations), Immunology (135 citations) and Genetics (181 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, Graham P. Pidgeon, M. Da Costa, H. P. Redmond, Christian Gulmann, David M. Butler and Gillian Murphy. Their work appears in journals such as Histopathology, British journal of surgery, Applied immunohistochemistry & molecular morphology, Applied Immunohistochemistry 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.