S. Hauguel

547 citations
18 papers · 372 · h-index 10

Impact in

Papers in

S. Hauguel

16 papers receiving 360 citations

Peers

S. Hauguel
Comparison fields: 5 of 42
  • Obstetrics and Gynecology 204
  • Pediatrics, Perinatology and Child Health 156
  • Endocrinology, Diabetes and Metabolism 66
  • Clinical Biochemistry 19
  • Physiology 65
Replace Huei K. Meznarich with:
Huei K. Meznarich United States
EL Makowski
Janet R Barrett United States
Robinson Js Australia
Jane E. Mijovic Canada
Hans H. Simmer United States
G. Gopalakrishnan United Kingdom
Scott W. Walsh United States
A. I. Traub United Kingdom
R.J. Woods United Kingdom
S. Hauguel relative to Huei K. Meznarich United States Huei K. Meznarich's profile →
Citations per field
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Huei K. Meznarich · 1×
Citations per year

Countries citing papers authored by S. Hauguel

Since Specialization
Citations

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

Fields of papers citing papers by S. Hauguel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside S. Hauguel, 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 S. Hauguel Line = papers co-authored together S. Hauguel links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 198683
2 198677
3 198745
4 198344
5
Effects of placental lactogen and progesterone on insulin stimulated glucose metabolism in rat muscles in vitro.
198933
6 198418
7 198717
8 198812
9 198912
10 198710
11 20097
12 19886
13 19804
14 19882
15 20171
16
[Stimulation of G-6-P independent glycogen synthase activity in the human placenta].
19791
17 20170
18 20090

About S. Hauguel

S. Hauguel is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Physiology, Surgery and Animal Science and Zoology, having authored 18 papers that have together received 372 indexed citations. Recurring topics across this work include Diet and metabolism studies (6 papers), Gestational Diabetes Research and Management (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers), Rabbits: Nutrition, Reproduction, Health (4 papers), Adipose Tissue and Metabolism (3 papers), Diabetes Management and Research (3 papers), Pregnancy and preeclampsia studies (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Obstetrics and Gynecology (204 citations), Pediatrics, Perinatology and Child Health (156 citations), Endocrinology, Diabetes and Metabolism (66 citations), Clinical Biochemistry (19 citations) and Physiology (65 citations). S. Hauguel has collaborated with scholars based in France and United States. Frequent co-authors include Jean-Claude Challier, J. Girard, Marc Gilbert, Armelle Leturque, L. Cédard, J. Kandé, J.C. Challier, G Olivé, Jean Girard and P. Maulard. Their work appears in journals such as Pediatric Research, American Journal of Physiology-Endocrinology and Metabolism, Biochemical Pharmacology, American Journal of Obstetrics and Gynecology and The Journal of Clinical Endocrinology & 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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