Brian McCourt
Impact in
- Reproductive Medicine top 2%
- Ovarian function and disorders
- Hypothalamic control of reproductive hormones
- Ovarian cancer diagnosis and treatment
- Sperm and Testicular Function
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- Reproductive Biology and Fertility
- Ethics in Clinical Research
Papers in
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- Biomedical Text Mining and Ontologies 3
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- Electronic Health Records Systems 3
- Co-authors
- Ann E. Taylor (1 shared paper)Judith Adams (1 shared paper)Janet E. Hall (1 shared paper)Kathryn A. Martin (1 shared paper)Ellen J. Anderson (1 shared paper)David Schoenfeld (1 shared paper)Ricardo Pietrobon (1 shared paper)Laura H. Aberle (1 shared paper)
- Journals
- PLoS ONE (1 paper)American Heart Journal (1 paper)Drug Information Journal (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Patterns (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Brian McCourt
8 papers receiving 563 citations
Peers
Comparison fields: 5 of 89
- Reproductive Medicine 357
- Public Health, Environmental and Occupational Health 312
- Health Information Management 40
- Endocrinology, Diabetes and Metabolism 82
- Statistics, Probability and Uncertainty 33
Countries citing papers authored by Brian McCourt
This map shows the geographic impact of Brian McCourt'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 Brian McCourt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian McCourt more than expected).
Fields of papers citing papers by Brian McCourt
This network shows the impact of papers produced by Brian McCourt. 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 Brian McCourt. The network helps show where Brian McCourt may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian McCourt, 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 | 1997 | 381 | |
| 2 | 2012 | 114 | |
| 3 | 2015 | 49 | |
| 4 | 2015 | 20 | |
| 5 | 2007 | 11 | |
| 6 | 2010 | 7 | |
| 7 | 2023 | 2 | |
| 8 | Making sense of standards. | 2007 | 1 |
About Brian McCourt
Brian McCourt is a scholar working on Molecular Biology, Health Information Management, Public Health, Environmental and Occupational Health, Reproductive Medicine and Statistics, Probability and Uncertainty, having authored 8 papers that have together received 585 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Electronic Health Records Systems (3 papers), Meta-analysis and systematic reviews (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Sperm and Testicular Function (1 paper), Reproductive Biology and Fertility (1 paper), Reproductive Health and Technologies (1 paper) and Organ Donation and Transplantation (1 paper). The work is most often cited by research in Reproductive Medicine (357 citations), Public Health, Environmental and Occupational Health (312 citations), Health Information Management (40 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Statistics, Probability and Uncertainty (33 citations). Brian McCourt has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ann E. Taylor, Judith Adams, Janet E. Hall, Kathryn A. Martin, Ellen J. Anderson, David Schoenfeld, Ricardo Pietrobon, Laura H. Aberle, Karen Chiswell and Asba Tasneem. Their work appears in journals such as PLoS ONE, American Heart Journal, Drug Information Journal, The Journal of Clinical Endocrinology & Metabolism and Patterns.
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.