John Fee
Impact in
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment
- Endometriosis Research and Treatment
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Hypothalamic control of reproductive hormones 1
- Ovarian cancer diagnosis and treatment 1
- Sperm and Testicular Function 1
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- Cell Image Analysis Techniques 1
- Co-authors
- Samuel A. J. R. Aparicio (4 shared papers)Steven E. McKinney (3 shared papers)Damian Yap (3 shared papers)Leah Prentice (2 shared papers)Xavier d’Anglemont de Tassigny (2 shared papers)Teresa Ruiz de Algara (2 shared papers)William Henry Colledge (2 shared papers)Gulisa Turashvili (2 shared papers)
- Journals
- BMC Cancer (1 paper)PLoS ONE (1 paper)Experimental Hematology (1 paper)New England Journal of Medicine (1 paper)Cytometry Part A (1 paper)
- Partner nations
- CanadaUnited KingdomAustralia
In The Last Decade
John Fee
8 papers receiving 1.5k citations
John Fee's Hit Papers
Peers
Comparison fields: 5 of 57
- Reproductive Medicine 766
- Cancer Research 114
- Obstetrics and Gynecology 77
- Molecular Biology 463
- Oncology 119
Countries citing papers authored by John Fee
This map shows the geographic impact of John Fee'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 John Fee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Fee more than expected).
Fields of papers citing papers by John Fee
This network shows the impact of papers produced by John Fee. 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 John Fee. The network helps show where John Fee may publish in the future.
Co-authors
The 25 scholars most cited alongside John Fee, 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 | ARID1A Mutations in Endometriosis-Associated Ovarian Carcinomas Hit paper breakdown → | 2010 | 1401 |
| 2 | 2011 | 40 | |
| 3 | 2007 | 30 | |
| 4 | 2011 | 26 | |
| 5 | 2008 | 15 | |
| 6 | 2011 | 14 | |
| 7 | 2009 | 9 | |
| 8 | 2011 | 5 |
About John Fee
John Fee is a scholar working on Reproductive Medicine, Biophysics, Pulmonary and Respiratory Medicine, Neurology and Molecular Biology, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (1 paper), Pluripotent Stem Cells Research (1 paper), Hypothalamic control of reproductive hormones (1 paper), Ovarian cancer diagnosis and treatment (1 paper), Sperm and Testicular Function (1 paper), Chromatin Remodeling and Cancer (1 paper), Prostate Cancer Treatment and Research (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Reproductive Medicine (766 citations), Cancer Research (114 citations), Obstetrics and Gynecology (77 citations), Molecular Biology (463 citations) and Oncology (119 citations). John Fee has collaborated with scholars based in Canada, United Kingdom and Australia. Frequent co-authors include Samuel A. J. R. Aparicio, Steven E. McKinney, Damian Yap, Leah Prentice, Xavier d’Anglemont de Tassigny, Teresa Ruiz de Algara, William Henry Colledge, Gulisa Turashvili, Steven S.S. Poon and Marco A. Marra. Their work appears in journals such as BMC Cancer, PLoS ONE, Experimental Hematology, New England Journal of Medicine and Cytometry Part A.
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.