Janet M. Allen
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Surgery top 0.5%
- Molecular Biology top 2%
- Genetics top 0.5%
- Co-authors
- Stephen R. BloomJ. M. PolakRoman HovorkaMalgorzata E. WilinskaThomas E. AdrianDavid B. DungerMarianna NodaleDaniela Elleri
- Topics
- Diabetes Management and Research (68 papers)Neuropeptides and Animal Physiology (49 papers)Pancreatic function and diabetes (46 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCellular and Molecular NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Janet M. Allen
175 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Endocrinology, Diabetes and Metabolism 3.1k
- Cellular and Molecular Neuroscience 3.0k
- Surgery 3.0k
- Molecular Biology 3.0k
- Genetics 1.9k
Countries citing papers authored by Janet M. Allen
This map shows the geographic impact of Janet M. Allen'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 Janet M. Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet M. Allen more than expected).
Fields of papers citing papers by Janet M. Allen
This network shows the impact of papers produced by Janet M. Allen. 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 Janet M. Allen. The network helps show where Janet M. Allen may publish in the future.
Co-authorship network of co-authors of Janet M. Allen
This figure shows the co-authorship network connecting the top 25 collaborators of Janet M. Allen. A scholar is included among the top collaborators of Janet M. Allen 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 Janet M. Allen. Janet M. Allen 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 | 1 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 57 | |
| 8 | 9 | |
| 9 | 14 | |
| 10 | 12 | |
| 11 | 43 | |
| 12 | 19 | |
| 13 | 87 | |
| 14 | 41 | |
| 15 | 29 | |
| 16 | Psychosocial Impacts of Radiation Tattooing for Breast Cancer Patients: A Critical Review | 14 |
| 17 | 29 | |
| 18 | Overnight closed-loop glucose control following consumption of alcohol in adults with type 1 diabetes | 2 |
| 19 | 16 | |
| 20 | 31 |
About Janet M. Allen
Janet M. Allen is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Genetics, having authored 179 papers that have together received 8.6k indexed citations. Recurring topics across this work include Diabetes Management and Research (68 papers), Neuropeptides and Animal Physiology (49 papers) and Pancreatic function and diabetes (46 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.1k citations), Cellular and Molecular Neuroscience (3.0k citations) and Endocrine and Autonomic Systems (652 citations). Janet M. Allen has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Stephen R. Bloom, J. M. Polak, Roman Hovorka, Malgorzata E. Wilinska, Thomas E. Adrian, David B. Dunger, Marianna Nodale, Daniela Elleri, Kazuhiko Tatemoto and S.R. Bloom. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.