Graeme R. Frank
- Genetics top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Reproductive Medicine top 1%
- Immunology top 5%
- Co-authors
- Eric P. SmithBonny SpeckerDennis B. LubahnRobert M. CohenKenneth S. KorachJeff BoydTimothy C. WilliamsHiroyuki Takahashi
- Topics
- Estrogen and related hormone effects (6 papers)Reproductive System and Pregnancy (6 papers)Thyroid Disorders and Treatments (5 papers)
- Journals
- New England Journal of MedicineThe Journal of Clinical Endocrinology & MetabolismDiabetes Care
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Graeme R. Frank
34 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Genetics 1.4k
- Endocrinology, Diabetes and Metabolism 1.0k
- Molecular Biology 943
- Reproductive Medicine 728
- Immunology 578
Countries citing papers authored by Graeme R. Frank
This map shows the geographic impact of Graeme R. Frank'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 Graeme R. Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graeme R. Frank more than expected).
Fields of papers citing papers by Graeme R. Frank
This network shows the impact of papers produced by Graeme R. Frank. 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 Graeme R. Frank. The network helps show where Graeme R. Frank may publish in the future.
Co-authorship network of co-authors of Graeme R. Frank
This figure shows the co-authorship network connecting the top 25 collaborators of Graeme R. Frank. A scholar is included among the top collaborators of Graeme R. Frank 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 Graeme R. Frank. Graeme R. Frank is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 45 | |
| 3 | 8 | |
| 4 | 18 | |
| 5 | 90 | |
| 6 | 75 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 202 | |
| 10 | 43 | |
| 11 | 6 | |
| 12 | 29 | |
| 13 | 104 | |
| 14 | 80 | |
| 15 | 142 | |
| 16 | Estrogen Resistance Caused by a Mutation in the Estrogen-Receptor Gene in a Manbreakdown → | 1801 |
| 17 | 6 | |
| 18 | 131 | |
| 19 | 50 | |
| 20 | 7 |
About Graeme R. Frank
Graeme R. Frank is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Genetics, having authored 35 papers that have together received 3.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Reproductive System and Pregnancy (6 papers) and Thyroid Disorders and Treatments (5 papers). The work is most often cited by research in Reproductive Medicine (728 citations), Orthopedics and Sports Medicine (551 citations) and Endocrinology, Diabetes and Metabolism (1.0k citations). Graeme R. Frank has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Eric P. Smith, Bonny Specker, Dennis B. Lubahn, Robert M. Cohen, Kenneth S. Korach, Jeff Boyd, Timothy C. Williams, Hiroyuki Takahashi, Anoop K. Brar and Marcelle I. Cedars. Their work appears in journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.