J. Gadea

4.0k citations
105 papers · 3.0k · h-index 34

Impact in

Papers in

J. Gadea

96 papers receiving 2.9k citations

Peers

J. Gadea
Comparison fields: 5 of 104
  • Reproductive Medicine 2.3k
  • Public Health, Environmental and Occupational Health 2.1k
  • Physiology 280
  • Agronomy and Crop Science 415
  • Genetics 640
Replace Carmen Matás with:
Carmen Matás Spain
Charles C. Love United States
M.M. Buhr Canada
M.A. Gil Spain
Inmaculada Parrilla Spain
Pilar Coy Spain
M. Álvarez Spain
A. Kumaresan India
L. A. Johnson United States
Duane L. Garner United States
J. Gadea relative to Carmen Matás Spain Carmen Matás's profile →
Citations per field
00.5×1.7×
Carmen Matás · 1×
Citations per year

Countries citing papers authored by J. Gadea

Since Specialization
Citations

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

Fields of papers citing papers by J. Gadea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004232
2 2004161
3 2010141
4 2003119
5 2012104
6 2004102
7 200597
8 201695
9 201678
10 199872
11 200771
12 200865
13 200563
14 200558
15 201055
16 200254
17 200352
18 201051
19 199351
20 201049

About J. Gadea

J. Gadea is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Genetics, Molecular Biology and Physiology, having authored 105 papers that have together received 3.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (65 papers), Sperm and Testicular Function (63 papers), Animal Genetics and Reproduction (25 papers), CRISPR and Genetic Engineering (21 papers), Ovarian function and disorders (12 papers), Reproductive biology and impacts on aquatic species (10 papers), Reproductive Physiology in Livestock (10 papers) and Reproductive Health and Technologies (10 papers). The work is most often cited by research in Reproductive Medicine (2.3k citations), Public Health, Environmental and Occupational Health (2.1k citations), Physiology (280 citations), Agronomy and Crop Science (415 citations) and Genetics (640 citations). J. Gadea has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Carmen Matás, Pilar Coy, Raquel Romar, Francisco Alberto García‐Vázquez, S. Ruíz, Enrique Pastor Seller, J. Landeras, Juan Carlos Gardón, Juan Carlos Martínez-Soto and Sebastián Cánovas. Their work appears in journals such as Theriogenology, Animal Reproduction Science, Reproduction Fertility and Development, Reproduction and Animals.

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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