Rosa Roy

1.7k citations
32 papers · 1.3k · h-index 17

Impact in

Papers in

    • Sperm and Testicular Function 10
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
    • Genetic Mapping and Diversity in Plants and Animals 5
    • Genetic and phenotypic traits in livestock 3

Rosa Roy

32 papers receiving 1.3k citations

Peers

Rosa Roy
Comparison fields: 5 of 91
  • Reproductive Medicine 382
  • Genetics 340
  • Cancer Research 163
  • Biochemistry 77
  • Public Health, Environmental and Occupational Health 281
Replace Scott L. Pratt with:
Scott L. Pratt United States
Yongjie Wan China
Seongsoo Hwang South Korea
Jianhui Tian China
Weihua Du China
Weijun Pang China
Hongzhao Lu China
Fabrice Saez France
Deshun Shi China
Dong Il Jin South Korea
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Citations per field
00.5×2×2.9×
Scott L. Pratt · 1×
Citations per year

Countries citing papers authored by Rosa Roy

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012270
2 2007215
3 2018116
4 2006109
5 201683
6 200554
7 201054
8 201251
9 201845
10 200744
11 200739
12 200133
13 200830
14 201826
15 200624
16 201819
17 200518
18 202017
19 200516
20 200314

About Rosa Roy

Rosa Roy is a scholar working on Reproductive Medicine, Genetics, Cancer Research, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sperm and Testicular Function (10 papers), Reproductive Biology and Fertility (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Cancer-related molecular mechanisms research (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Reproductive Medicine (382 citations), Genetics (340 citations), Cancer Research (163 citations), Biochemistry (77 citations) and Public Health, Environmental and Occupational Health (281 citations). Rosa Roy has collaborated with scholars based in Spain, France and Australia. Frequent co-authors include Jaime Gosálvez, Clara Gonzalez-Marin, C. Rodellar, P. Zaragoza, Anaís García Rodríguez, Laura Ordovás, Stephen Douglas Johnston, Ashok Kumar Agarwal, A. Eggen and Lluı́s Montoliu. Their work appears in journals such as Cytogenetic and Genome Research, Animal Genetics, Reproduction Fertility and Development, International Journal of Molecular Sciences and Hepatology.

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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