Guy Germain

58 papers receiving 1.4k citations

Peers

Guy Germain
Comparison fields: 5 of 116
  • Obstetrics and Gynecology 246
  • Agronomy and Crop Science 193
  • Pediatrics, Perinatology and Child Health 356
  • Immunology 303
  • Epidemiology 490
Replace R. E. Garfield with:
R. E. Garfield Canada
Michael J. Taggart United Kingdom
Jean M. Marshall United States
Guillermo J. Valenzuela United States
Tomoko Adachi Japan
Michael J. Cronin United States
G. R. Merriam United States
Jon Havelock Canada
N. Einer‐Jensen Denmark
T.M. Mayhew United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Guy Germain

Since Specialization
Citations

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

Fields of papers citing papers by Guy Germain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993265
2 200798
3 201389
4 200384
5 200664
6 200750
7 200449
8 200949
9 200649
10 200441
11 200538
12 200829
13 198229
14 199526
15 200426
16 200726
17 200524
18 200523
19 199623
20 200722

About Guy Germain

Guy Germain is a scholar working on Immunology, Agronomy and Crop Science, Obstetrics and Gynecology, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (19 papers), Preterm Birth and Chorioamnionitis (14 papers), Neuroendocrine regulation and behavior (11 papers), Reproductive Physiology in Livestock (9 papers), Pregnancy and preeclampsia studies (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Neonatal Respiratory Health Research (5 papers) and Pregnancy-related medical research (4 papers). The work is most often cited by research in Obstetrics and Gynecology (246 citations), Agronomy and Crop Science (193 citations), Pediatrics, Perinatology and Child Health (356 citations), Immunology (303 citations) and Epidemiology (490 citations). Guy Germain has collaborated with scholars based in France, Morocco and Iceland. Frequent co-authors include Catherine Marque, Souheil Mansour, Jacques Duchêne, Dominique Devedeux, J. Terrien, Michelle Breuiller-Fouché, Gilles Charpigny, Sandy Rihana, Michel Anctil and D. Cabrol. Their work appears in journals such as Biology of Reproduction, American Journal of Obstetrics and Gynecology, Journal of Pharmacology and Experimental Therapeutics, Reproduction and European Journal of Pharmacology.

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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