Pierre De Meyts

11.4k citations
145 papers · 9.1k indexed · 3 hit papers · h-index 48

Pierre De Meyts

142 papers receiving 8.5k citations

Hit Papers

Site-site interactions among insulin receptors. Character...5141973202619902008250500750

Peers

Pierre De Meyts
Comparison fields: 5 of 155
  • Endocrinology, Diabetes and Metabolism 3.1k
  • Molecular Biology 5.6k
  • Aging 123
  • Physiology 1.6k
  • Endocrine and Autonomic Systems 365
Replace Kenneth Siddle with:
Kenneth Siddle United Kingdom
O M Rosen United States
Yehiel Zick Israel
Samir S. Deeb United States
Jacques E. Dumont Belgium
Simeon I. Taylor United States
John C. Hutton United States
Paul F. Pilch United States
Éric Clauser France
Gustav E. Lienhard United States
Pierre De Meyts relative to Kenneth Siddle United Kingdom Kenneth Siddle's profile →
Citations per field
00.5×1.5×2.4×
Kenneth Siddle · 1×
Citations per year

Countries citing papers authored by Pierre De Meyts

Since Specialization
Citations

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

Fields of papers citing papers by Pierre De Meyts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre De Meyts. 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 Pierre De Meyts. The network helps show where Pierre De Meyts may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201859
2 201890
3 201613
4 201593
5 201051
6 200929
7 200955
8 200984
9 200922
10 200768
11 200734
12 2004251
13 2002464
14 199654
15 19915
16 198647
17 198530
18
Monoclonal antibodies and specific cell surface receptors do not discriminate between human growth hormone prepared by DNA recombinant techniques and the native hormone.
19843
19
The Hypoglycemic Effect of a Sulfonylurea (gliclazide) in Moderate Type-ii Diabetes and Glucose-intolerance Is Not Accompanied By Changes in Insulin Action and Insulin Binding To Erythrocytes
19835
20 197680

About Pierre De Meyts

Pierre De Meyts is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Aging, having authored 145 papers that have together received 9.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (58 papers), Metabolism, Diabetes, and Cancer (58 papers), Pancreatic function and diabetes (38 papers), Receptor Mechanisms and Signaling (23 papers), Protein Kinase Regulation and GTPase Signaling (15 papers), Adipose Tissue and Metabolism (10 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Erythrocyte Function and Pathophysiology (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.1k citations), Molecular Biology (5.6k citations) and Aging (123 citations). Pierre De Meyts has collaborated with scholars based in United States, Denmark and Belgium. Frequent co-authors include Jesse Roth, David M. Neville, James R. Gavin, Jonathan Whittaker, C. Ronald Kahn, Donald N. Buell, Ronald M. Shymko, Maxine A. Lesniak, Claus T. Christoffersen and Phillip Görden. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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