M Letrait

405 citations
9 papers · 335 · h-index 8

Impact in

Papers in

M Letrait

9 papers receiving 307 citations

Peers

M Letrait
Comparison fields: 5 of 55
  • Behavioral Neuroscience 64
  • Endocrinology, Diabetes and Metabolism 178
  • Pediatrics, Perinatology and Child Health 72
  • Obstetrics and Gynecology 18
  • Physiology 37
Replace Freddy J.K. Toloza with:
Freddy J.K. Toloza United States
Miyuki Yanagimachi Japan
Caroline Knop Germany
Deborah Norton United States
Eleanor Gurnell United Kingdom
M. Giri Belgium
Sheila Jozak United States
Smita Baid Abraham United States
Federica Vinci Italy
E. S. Mitchell United States
M Letrait relative to Freddy J.K. Toloza United States Freddy J.K. Toloza's profile →
Citations per field
00.5×
Freddy J.K. Toloza · 1×
Citations per year

Countries citing papers authored by M Letrait

Since Specialization
Citations

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

Fields of papers citing papers by M Letrait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 199871
2 199470
3 199763
4 199760
5 199435
6 199614
7 198811
8 199210
9 19941

About M Letrait

M Letrait is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pediatrics, Perinatology and Child Health, Behavioral Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 335 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (2 papers), Sexual Differentiation and Disorders (2 papers), Birth, Development, and Health (2 papers), Stress Responses and Cortisol (2 papers), Hormonal Regulation and Hypertension (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Behavioral Health and Interventions (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Behavioral Neuroscience (64 citations), Endocrinology, Diabetes and Metabolism (178 citations), Pediatrics, Perinatology and Child Health (72 citations), Obstetrics and Gynecology (18 citations) and Physiology (37 citations). M Letrait has collaborated with scholars based in France and Canada. Frequent co-authors include Joël Coste, Jean‐Claude Carel, G Strauch, Xavier Bertagna, Jean‐Louis Chaussain, Pierre Chatelain, Claire Bouvattier, R. Coutant, Yves Le Bouc and Jean‐Claude Job. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, British Journal of Clinical Pharmacology, European Respiratory Journal, American Heart Journal and BMJ.

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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