J. Martinet

1.8k citations
67 papers · 1.5k · h-index 19

Impact in

Papers in

J. Martinet

63 papers receiving 1.3k citations

Peers

J. Martinet
Comparison fields: 5 of 68
  • Agronomy and Crop Science 358
  • Epidemiology 648
  • Immunology and Allergy 57
  • Reproductive Medicine 113
  • Immunology 74
Replace S.C. Bell with:
S.C. Bell United Kingdom
Andrew J. Thomson United Kingdom
C.S. Reddy Meka United States
Kristin M. Taylor United States
Kenneth F. Swan United States
Anne Young United Kingdom
Gabriela Barrientos Germany
Johanne Detilleux Belgium
Sarah Elizabeth Harris United Kingdom
Hisato Koshiba Japan
J. Martinet relative to S.C. Bell United Kingdom S.C. Bell's profile →
Citations per field
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S.C. Bell · 1×
Citations per year

Countries citing papers authored by J. Martinet

Since Specialization
Citations

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

Fields of papers citing papers by J. Martinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014235
2 2016219
3 2012115
4 197382
5 197570
6 201466
7 201745
8 199038
9 201237
10 198936
11 201635
12 201634
13 196929
14 202328
15 201427
16 196626
17 197624
18 201624
19 198719
20 197818

About J. Martinet

J. Martinet is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism, Epidemiology, Reproductive Medicine and Genetics, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (22 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Milk Quality and Mastitis in Dairy Cows (10 papers), Inflammatory Myopathies and Dermatomyositis (9 papers), Hypothalamic control of reproductive hormones (7 papers), Genetic and phenotypic traits in livestock (6 papers), CAR-T cell therapy research (5 papers) and Breastfeeding Practices and Influences (3 papers). The work is most often cited by research in Agronomy and Crop Science (358 citations), Epidemiology (648 citations), Immunology and Allergy (57 citations), Reproductive Medicine (113 citations) and Immunology (74 citations). J. Martinet has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include R Denamur, Guy Kann, Olivier Boyer, ALAIN SCHIRAR, R. V. Short, Kaïs Hussain Al-Gubory, Tania Dufeu‐Duchesne, Vincent Leroy, Caroline Aspord and Sylvie Larrat. Their work appears in journals such as Reproduction, Animal Reproduction Science, Nature, Neuropathology and Applied Neurobiology and Frontiers in Immunology.

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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