Christopher J. McCabe
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Pediatrics, Perinatology and Child Health top 2%
- Cancer Research top 5%
- Genetics top 10%
- Co-authors
- J. A. FranklynKristien BoelaertMark D. KilbyNeil GittoesVicki E. SmithShiao‐Yng ChanJayne A. FranklynLesley Tannahill
- Topics
- Pituitary Gland Disorders and Treatments (23 papers)Thyroid Disorders and Treatments (21 papers)Thyroid Cancer Diagnosis and Treatment (19 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Christopher J. McCabe
88 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 123
- Endocrinology, Diabetes and Metabolism 1.5k
- Molecular Biology 848
- Pediatrics, Perinatology and Child Health 478
- Cancer Research 475
- Genetics 329
Countries citing papers authored by Christopher J. McCabe
This map shows the geographic impact of Christopher J. McCabe'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 Christopher J. McCabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. McCabe more than expected).
Fields of papers citing papers by Christopher J. McCabe
This network shows the impact of papers produced by Christopher J. McCabe. 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 Christopher J. McCabe. The network helps show where Christopher J. McCabe may publish in the future.
Co-authorship network of co-authors of Christopher J. McCabe
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. McCabe. A scholar is included among the top collaborators of Christopher J. McCabe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher J. McCabe. Christopher J. McCabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 34 | |
| 6 | 9 | |
| 7 | 21 | |
| 8 | 10 | |
| 9 | Common repeat polymorphism in the dopamine transporter gene SLC6A3 is associated with stop signal reaction time (SSRT) and motion coherence threshold (MCT) | 1 |
| 10 | 40 | |
| 11 | 23 | |
| 12 | 55 | |
| 13 | 59 | |
| 14 | 46 | |
| 15 | 69 | |
| 16 | The effects of thyroid hormone on cytokine-induced proliferation in human trophoblast cells | 1 |
| 17 | 125 | |
| 18 | 39 | |
| 19 | 7 | |
| 20 | 62 |
About Christopher J. McCabe
Christopher J. McCabe is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Cancer Research, having authored 90 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (23 papers), Thyroid Disorders and Treatments (21 papers) and Thyroid Cancer Diagnosis and Treatment (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Obstetrics and Gynecology (312 citations) and Cancer Research (475 citations). Christopher J. McCabe has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include J. A. Franklyn, Kristien Boelaert, Mark D. Kilby, Neil Gittoes, Vicki E. Smith, Shiao‐Yng Chan, Jayne A. Franklyn, Lesley Tannahill, John Watkinson and Anna L. Stratford. Their work appears in journals such as Nucleic Acids Research, Circulation and The Journal of Immunology.
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.