Peter R. Flatt

24.5k citations
662 papers · 18.8k · h-index 69

Impact in

Papers in

Peter R. Flatt

648 papers receiving 18.1k citations

Peers

Peter R. Flatt
Comparison fields: 5 of 154
  • Endocrinology, Diabetes and Metabolism 9.4k
  • Endocrine and Autonomic Systems 1.6k
  • Cellular and Molecular Neuroscience 3.4k
  • Microbiology 1.0k
  • Surgery 6.1k
Replace Ira D. Goldfine with:
Ira D. Goldfine United States
Marc Prentki Canada
Amira Klip Canada
David A. Wagner United States
Carolyn F. Deacon Denmark
Nada A. Abumrad United States
David Carling United Kingdom
Pere Puigserver United States
Stanisław J. Konturek Poland
Patrick Tso United States
Peter R. Flatt relative to Ira D. Goldfine United States Ira D. Goldfine's profile →
Citations per field
00.5×10×20×30×35.5×
Ira D. Goldfine · 1×
Citations per year

Countries citing papers authored by Peter R. Flatt

Since Specialization
Citations

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

Fields of papers citing papers by Peter R. Flatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter R. Flatt. 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 Peter R. Flatt. The network helps show where Peter R. Flatt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 662 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981399
2 1990386
3 1996322
4 2007211
5 2003209
6 2007194
7 1999194
8
New Antidiabetic Drugs
1990182
9 2006178
10 1996168
11 2014164
12 2000141
13 2010135
14 2005135
15 2005130
16 2015125
17 2006122
18 2007119
19 2011115
20 2011110

About Peter R. Flatt

Peter R. Flatt is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 662 papers that have together received 18.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (289 papers), Diabetes Treatment and Management (247 papers), Neuropeptides and Animal Physiology (138 papers), Metabolism, Diabetes, and Cancer (106 papers), Diabetes and associated disorders (72 papers), Peptidase Inhibition and Analysis (53 papers), Regulation of Appetite and Obesity (50 papers) and Diet, Metabolism, and Disease (45 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (9.4k citations), Endocrine and Autonomic Systems (1.6k citations), Cellular and Molecular Neuroscience (3.4k citations), Microbiology (1.0k citations) and Surgery (6.1k citations). Peter R. Flatt has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Nigel Irwin, Clifford J. Bailey, Victor A. Gault, Finbarr O’Harte, Yasser H.A. Abdel‐Wahab, Neville H. McClenaghan, Alison Gray, Christopher R. Barnett, J. Michael Conlon and Sara K. Swanston-Flatt. Their work appears in journals such as Peptides, Journal of Endocrinology, Diabetologia, Biochemical Society Transactions and Diabetes Obesity and Metabolism.

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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