J. Benet

4.6k citations
99 papers · 3.2k · h-index 35

Impact in

Papers in

    • Sperm and Testicular Function 45
    • Reproductive Health and Technologies 15
    • Genomic variations and chromosomal abnormalities 23
    • Animal Genetics and Reproduction 14

J. Benet

99 papers receiving 3.1k citations

Peers

J. Benet
Comparison fields: 5 of 89
  • Reproductive Medicine 1.5k
  • Pediatrics, Perinatology and Child Health 910
  • Genetics 1.1k
  • Public Health, Environmental and Occupational Health 1.0k
  • Plant Science 615
Replace J. Navarro with:
J. Navarro Spain
Joan Blanco Spain
Ri‐Cheng Chian Canada
Takashi Miyano Japan
Serdar Coşkun Saudi Arabia
L. Janny France
M Plachot France
Evelyn Ko Canada
D. A. Heath New Zealand
Nicoletta Tarozzi Italy
J. Benet relative to J. Navarro Spain J. Navarro's profile →
Citations per field
00.5×2.7×
J. Navarro · 1×
Citations per year

Countries citing papers authored by J. Benet

Since Specialization
Citations

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

Fields of papers citing papers by J. Benet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013173
2 2005114
3 2012111
4 2004108
5 1992106
6 2012104
7 201998
8 201995
9 201291
10 201589
11 201078
12 200575
13 200472
14 200572
15 199161
16 200657
17 200854
18 200651
19 200349
20 201348

About J. Benet

J. Benet is a scholar working on Reproductive Medicine, Genetics, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Plant Science, having authored 99 papers that have together received 3.2k indexed citations. Recurring topics across this work include Sperm and Testicular Function (45 papers), Reproductive Biology and Fertility (34 papers), Prenatal Screening and Diagnostics (29 papers), Chromosomal and Genetic Variations (27 papers), Genomic variations and chromosomal abnormalities (23 papers), Reproductive Health and Technologies (15 papers), Animal Genetics and Reproduction (14 papers) and DNA Repair Mechanisms (10 papers). The work is most often cited by research in Reproductive Medicine (1.5k citations), Pediatrics, Perinatology and Child Health (910 citations), Genetics (1.1k citations), Public Health, Environmental and Occupational Health (1.0k citations) and Plant Science (615 citations). J. Benet has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include J. Navarro, Jordi Ribas‐Maynou, M. Oliver‐Bonet, Carlos Abad, María José Amengual, C. Templado, J. Egozcue, Agustín García-Peiró, J. Egozcue and M. Codina‐Pascual. Their work appears in journals such as Human Reproduction, Human Genetics, Fertility and Sterility, Cytogenetic and Genome Research and European Journal of Human Genetics.

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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