J. Martal

4.3k total citations
77 papers, 3.4k citations indexed

About

J. Martal is a scholar working on Agronomy and Crop Science, Immunology and Obstetrics and Gynecology. According to data from OpenAlex, J. Martal has authored 77 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Agronomy and Crop Science, 30 papers in Immunology and 15 papers in Obstetrics and Gynecology. Recurrent topics in J. Martal's work include Reproductive Physiology in Livestock (35 papers), Reproductive System and Pregnancy (24 papers) and Pregnancy and preeclampsia studies (12 papers). J. Martal is often cited by papers focused on Reproductive Physiology in Livestock (35 papers), Reproductive System and Pregnancy (24 papers) and Pregnancy and preeclampsia studies (12 papers). J. Martal collaborates with scholars based in France, Morocco and United States. J. Martal's co-authors include N. Chêne, Jean Djiane, G. Chaouat, Sylvaine Camous, T Wegmann, Raj Raghupathy, Madia Charlier, Sylvie Dubanchet, Sandrine Zourbas and Amine Meliani and has published in prestigious journals such as The Journal of Immunology, Journal of Molecular Biology and Journal of Virology.

In The Last Decade

J. Martal

76 papers receiving 3.3k citations

Peers

J. Martal
Comparison fields: 5 of 104
  • Immunology 1.9k
  • Agronomy and Crop Science 1.4k
  • Public Health, Environmental and Occupational Health 899
  • Genetics 606
  • Obstetrics and Gynecology 594
Replace Earl L. Parr with:
Earl L. Parr United States
M Ichijo Japan
Vernon C. Stevens United States
Ricardo A. Margni Argentina
Gaëlle Le Friec United Kingdom
Inmaculada Moreno Spain
Tal I. Arnon Israel
M G Giudizi Italy
Koji Koyama Japan
Subbi Mathur United States
Earl L. Parr United States View profile →
Citations per field, relative to J. Martal
J. Martal · 1×
Citations per year, relative to J. Martal
J. Martal · 1×

Countries citing papers authored by J. Martal

Since Specialization
Citations

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

Fields of papers citing papers by J. Martal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Martal

This figure shows the co-authorship network connecting the top 25 collaborators of J. Martal. A scholar is included among the top collaborators of J. Martal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Martal. J. Martal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 101
2 30
3 211
4 188
5 88
6 7
7 10
8 359
9 13
10 15
11 12
12 21
13 23
14 18
15 12
16 59
17 2
18 84
19 187
20 61

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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