Janet M. Allen

258 total papers · 12.8k total citations
179 papers, 8.6k citations indexed

About

Janet M. Allen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Janet M. Allen has authored 179 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Endocrinology, Diabetes and Metabolism, 66 papers in Molecular Biology and 64 papers in Surgery. Recurrent topics in Janet M. Allen's work include Diabetes Management and Research (68 papers), Neuropeptides and Animal Physiology (49 papers) and Pancreatic function and diabetes (46 papers). Janet M. Allen is often cited by papers focused on Diabetes Management and Research (68 papers), Neuropeptides and Animal Physiology (49 papers) and Pancreatic function and diabetes (46 papers). Janet M. Allen collaborates with scholars based in United Kingdom, United States and France. Janet M. Allen's 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 and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Janet M. Allen

175 papers receiving 8.3k citations

Hit Papers

Neuropeptide Y distributi... 1983 2026 1997 2011 1983 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Janet M. Allen 3.1k 3.0k 3.0k 3.0k 1.9k 179 8.6k
Yogesh Patel 4.2k 1.3× 2.7k 0.9× 2.6k 0.9× 5.3k 1.8× 1.0k 0.5× 231 13.2k
David N. Orth 4.3k 1.4× 1.2k 0.4× 1.5k 0.5× 2.5k 0.8× 821 0.4× 191 11.0k
Stefan Schulz 1.7k 0.5× 5.2k 1.7× 1.1k 0.4× 6.5k 2.2× 1.1k 0.6× 272 13.6k
Hindrik Mulder 1.9k 0.6× 1.7k 0.6× 4.5k 1.5× 4.8k 1.6× 1.5k 0.8× 322 12.7k
John C. Brown 3.5k 1.1× 3.7k 1.2× 3.2k 1.1× 2.5k 0.8× 454 0.2× 196 9.8k
Shuji Hinuma 1.3k 0.4× 3.4k 1.1× 3.1k 1.0× 2.9k 1.0× 581 0.3× 89 10.1k
P. Kay Lund 2.6k 0.8× 915 0.3× 1.7k 0.6× 3.1k 1.0× 1.6k 0.9× 131 7.8k
Anne White 2.6k 0.8× 468 0.2× 1.4k 0.5× 2.5k 0.8× 1.1k 0.6× 234 9.2k
Lutz Hein 1.8k 0.6× 3.0k 1.0× 1.3k 0.4× 7.9k 2.7× 521 0.3× 196 14.7k
Thierry Pedrazzini 784 0.3× 3.4k 1.1× 1.1k 0.4× 5.4k 1.8× 444 0.2× 136 12.7k

Countries citing papers authored by Janet M. Allen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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