Alan Permutt

17 papers receiving 603 citations

Peers

Alan Permutt
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 144
  • Cell Biology 125
  • Surgery 264
  • Endocrine and Autonomic Systems 39
  • Cellular and Molecular Neuroscience 92
Replace P. Borboni with:
P. Borboni Italy
Kazuro Yaekura Japan
Ulrika Krus Sweden
Hélène Fournier Canada
Jeanette Teague United States
Rajiv L. Joshi France
Jude Luzuriaga Australia
Elia Martha Pérez-Armendáriz Mexico
Anna Edlund Sweden
Jonathan Rachman United Kingdom
Alan Permutt relative to P. Borboni Italy P. Borboni's profile →
Citations per field
00.5×1.5×2.2×
P. Borboni · 1×
Citations per year

Countries citing papers authored by Alan Permutt

Since Specialization
Citations

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

Fields of papers citing papers by Alan Permutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan Permutt. 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 Alan Permutt. The network helps show where Alan Permutt may publish in the future.

Co-authors

The 25 scholars most cited alongside Alan Permutt, 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 Alan Permutt Line = papers co-authored together Alan Permutt links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2004111
2 1992102
3 198079
4 199574
5
Altered glucose tolerance, insulin response, and insulin sensitivity after massive weight reduction subsequent to gastric bypass.
198259
6 199355
7 200932
8 200328
9 199223
10 198116
11 198014
12 198014
13 199612
14 19819
15 19828
16
SR-B1 variants associated with HDL cholesterol levels in three populations
20012
17 19981

About Alan Permutt

Alan Permutt is a scholar working on Surgery, Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience and Epidemiology, having authored 17 papers that have together received 639 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Neuroendocrine Tumor Research Advances (4 papers), Neuropeptides and Animal Physiology (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes Management and Research (2 papers), Muscle metabolism and nutrition (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (144 citations), Cell Biology (125 citations), Surgery (264 citations), Endocrine and Autonomic Systems (39 citations) and Cellular and Molecular Neuroscience (92 citations). Alan Permutt has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include Hideki Oyama, J. Wasson, Ralph Bradshaw, Leif Groop, László Korányi, Mike Mueckler, R. E. Bourey, Ibrahim Salti, G Halaby and Sami T. Azar. Their work appears in journals such as Diabetes, The Journal of Clinical Endocrinology & Metabolism, Regulatory Peptides, Journal of Biological Chemistry 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.

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