J.P. Gautray

600 citations
20 papers · 413 indexed · h-index 9

Impact in

Papers in

J.P. Gautray

20 papers receiving 380 citations

Peers

J.P. Gautray
Comparison fields: 5 of 69
  • Reproductive Medicine 183
  • Obstetrics and Gynecology 79
  • Immunology 156
  • Behavioral Neuroscience 22
  • Agronomy and Crop Science 49
Replace T. M. Siler-Khodr with:
T. M. Siler-Khodr United States
Delphine Bartosik United States
T Kumasaka Japan
B Resch Hungary
Tawfik H. Rizkallah United States
Amnon David Israel
L. N. Ajabor Nigeria
Charles M. Cargille United States
H.‐D. Taubert Germany
M Mikuni Japan
J.P. Gautray relative to T. M. Siler-Khodr United States T. M. Siler-Khodr's profile →
Citations per field
00.5×1.5×
T. M. Siler-Khodr · 1×
Citations per year

Countries citing papers authored by J.P. Gautray

Since Specialization
Citations

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

Fields of papers citing papers by J.P. Gautray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.P. Gautray. 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 J.P. Gautray. The network helps show where J.P. Gautray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 19884
2 19847
3 19848
4 198133
5 19811
6 198119
7 198031
8 1980133
9 19795
10 197813
11 19787
12 197746
13
High prekallikrein levels during pregnancy.
19752
14 197523
15 19748
16 19742
17 197421
18 197440
19 19697
20 19693

About J.P. Gautray

J.P. Gautray is a scholar working on Reproductive Medicine, Agronomy and Crop Science, Immunology, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 413 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (5 papers), Endometriosis Research and Treatment (5 papers), Ovarian function and disorders (3 papers), Reproductive Physiology in Livestock (3 papers), Estrogen and related hormone effects (3 papers), Birth, Development, and Health (2 papers), Neonatal Respiratory Health Research (2 papers) and Vitamin K Research Studies (2 papers). The work is most often cited by research in Reproductive Medicine (183 citations), Obstetrics and Gynecology (79 citations), Immunology (156 citations), Behavioral Neuroscience (22 citations) and Agronomy and Crop Science (49 citations). J.P. Gautray has collaborated with scholars based in France and United States. Frequent co-authors include P Röbel, J. De Brux, B. Descomps, C. Levy, André Jolivet, E.E. Baulieu, Anne Jolivet, Roger Guillemin, L.G. Alcindor and Michel Mouren. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Fertility and Sterility, Obstetrical & Gynecological Survey, Clinica Chimica Acta 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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