Beth E. Dunning

5.4k citations
64 papers · 4.5k indexed · 1 hit paper · h-index 34

Beth E. Dunning

64 papers receiving 4.3k citations

Hit Papers

1-[[(3-Hydroxy-1-adamantyl)amino]acetyl]-2-cyano-(S)-pyrr...5192003202620102018100200300400500

Peers

Beth E. Dunning
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 2.9k
  • Cellular and Molecular Neuroscience 1.3k
  • Endocrine and Autonomic Systems 350
  • Surgery 2.1k
  • Oncology 885
Replace Raymond A. Pederson with:
Raymond A. Pederson Canada
John M. Amatruda United States
Kyle W. Sloop United States
Peter Proks United Kingdom
Grzegorz Godlewski United States
Atsuo Goto Japan
Michael Tanen United States
Edmund J. Sybertz United States
Gary J. Grover United States
Graeme Semple United States
Beth E. Dunning relative to Raymond A. Pederson Canada Raymond A. Pederson's profile →
Citations per field
00.5×1.5×
Raymond A. Pederson · 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-authorship network

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
#Work
1 2011136
2 20086
3 200841
4 200821
5 200785
6 2006278
7 2005324
8 20033
9 200325
10 200130
11 199923
12 199713
13 199727
14 199718
15 199117
16 199032
17 199066
18 198817
19 19888
20 198854

About Beth E. Dunning

Beth E. Dunning is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Surgery, having authored 64 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (35 papers), Diabetes Treatment and Management (25 papers), Pancreatic function and diabetes (24 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers), Diabetes Management and Research (12 papers), Peptidase Inhibition and Analysis (12 papers), Receptor Mechanisms and Signaling (11 papers) and Metabolism, Diabetes, and Cancer (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.9k citations), Cellular and Molecular Neuroscience (1.3k citations) and Endocrine and Autonomic Systems (350 citations). Beth E. Dunning has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include James E. Foley, Gerald J. Taborsky, Bo Åhrén, John E. Gerich, Anja Schweizer, Edwin B. Villhauer, Jens J. Holst, Andrea Mari, Richard C. Veith and Mary E. Russell. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Diabetes, The Journal of Clinical Endocrinology & Metabolism, Diabetologia 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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