Beth E. Dunning

5.4k citations
64 papers · 4.7k · h-index 34

Impact in

Papers in

Beth E. Dunning

63 papers receiving 4.3k citations

Peers

Beth E. Dunning
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 2.5k
  • Cellular and Molecular Neuroscience 545
  • Surgery 1.1k
  • Endocrine and Autonomic Systems 107
  • Oncology 200
Replace Paul Rothenberg with:
Paul Rothenberg United States
Raymond A. Pederson Canada
Shigeaki Baba Japan
Matthew P. Coghlan United Kingdom
Richard Saperstein United States
Grazia Chiellini Italy
Dana K. Sindelar United States
Steffen Reedtz‐Runge Denmark
Gayathri Swaminath United States
Judith L. Treadway United States
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Citations per field
00.5×2×4×5.7×
Paul Rothenberg · 1×
Citations per year

Countries citing papers authored by Beth E. Dunning

Since Specialization
Citations

This map shows the geographic impact of Beth E. Dunning'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 Beth E. Dunning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth E. Dunning more than expected).

Fields of papers citing papers by Beth E. Dunning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth E. Dunning. 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 Beth E. Dunning. The network helps show where Beth E. Dunning may publish in the future.

Co-authors

The 25 scholars most cited alongside Beth E. Dunning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beth E. Dunning Line = papers co-authored together Beth E. Dunning links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003554
2 2005336
3 2007318
4 2006287
5 2005232
6 2007211
7 2007169
8 1986161
9 2009161
10 2011143
11 2002111
12 200198
13 199197
14 200896
15 200887
16 200786
17 200782
18 198880
19 198476
20 198774

About Beth E. Dunning

Beth E. Dunning is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cellular and Molecular Neuroscience, Oncology and Biochemistry, having authored 64 papers that have together received 4.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (35 papers), Diabetes Treatment and Management (23 papers), Neuropeptides and Animal Physiology (17 papers), Ion channel regulation and function (2 papers), Peptidase Inhibition and Analysis (2 papers), Cholesterol and Lipid Metabolism (1 paper), Folate and B Vitamins Research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.5k citations), Cellular and Molecular Neuroscience (545 citations), Surgery (1.1k citations), Endocrine and Autonomic Systems (107 citations) and Oncology (200 citations). Beth E. Dunning has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include James Edward Foley, Gerald J. Taborsky, Bo Åhrén, John E. Gerich, Anja Schweizer, Edwin B. Villhauer, Monica Ligueros‐Saylan, Jens Juul Holst, Yanling He and Richard C. Veith. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Diabetes and Cell and Tissue Research.

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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