Geoffrey Allan
- Reproductive Medicine top 2%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology
- Co-authors
- Ronald D. GunnDaniela JakubowiczJohn E. NestlerNicolás G. BazánSalman AzharJean‐Patrice BaillargeonMaria J. IuornoJonathan Hadgraft
- Topics
- Ovarian function and disorders (3 papers)Eicosanoids and Hypertension Pharmacology (3 papers)Diet, Metabolism, and Disease (3 papers)
- Journals
- New England Journal of MedicineThe Journal of Clinical Endocrinology & MetabolismEndocrinology
- Partner nations
- United StatesUnited KingdomVenezuela
In The Last Decade
Geoffrey Allan
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Reproductive Medicine 419
- Molecular Biology 330
- Public Health, Environmental and Occupational Health 326
- Endocrinology, Diabetes and Metabolism 326
- Physiology 184
Countries citing papers authored by Geoffrey Allan
This map shows the geographic impact of Geoffrey Allan'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 Geoffrey Allan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey Allan more than expected).
Fields of papers citing papers by Geoffrey Allan
This network shows the impact of papers produced by Geoffrey Allan. 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 Geoffrey Allan. The network helps show where Geoffrey Allan may publish in the future.
Co-authorship network of co-authors of Geoffrey Allan
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Allan. A scholar is included among the top collaborators of Geoffrey Allan 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 Geoffrey Allan. Geoffrey Allan 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 | 42 | |
| 3 | 39 | |
| 4 | 178 | |
| 5 | 144 | |
| 6 | 396 | |
| 7 | 42 | |
| 8 | 37 | |
| 9 | 81 | |
| 10 | 168 | |
| 11 | 27 | |
| 12 | 43 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 25 | |
| 19 | 28 |
About Geoffrey Allan
Geoffrey Allan is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Reproductive Medicine, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ovarian function and disorders (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Reproductive Medicine (419 citations), Endocrinology, Diabetes and Metabolism (326 citations) and Pharmaceutical Science (79 citations). Geoffrey Allan has collaborated with scholars based in United States, United Kingdom and Venezuela. Frequent co-authors include Ronald D. Gunn, Daniela Jakubowicz, John E. Nestler, Nicolás G. Bazán, Salman Azhar, Jean‐Patrice Baillargeon, Maria J. Iuorno, Jonathan Hadgraft, W. Pugh and James Peck. Their work appears in journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.
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.