M.S. Ferrer

32 papers receiving 253 citations

Peers

M.S. Ferrer
Comparison fields: 5 of 61
  • Reproductive Medicine 138
  • Equine 24
  • Agronomy and Crop Science 110
  • Public Health, Environmental and Occupational Health 127
  • Physiology 22
Replace Empar García‐Roselló with:
Empar García‐Roselló Spain
Juraj Grizelj Croatia
Rubina Kumari Baithalu India
Maria Kareskoski Finland
Anja Riesenbeck Germany
M. Gambarotta Argentina
I. Battut France
Mariana Groke Marques Brazil
S.K. Lyle United States
Juan C. Samper United States
M.S. Ferrer relative to Empar García‐Roselló Spain Empar García‐Roselló's profile →
Citations per field
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Empar García‐Roselló · 1×
Citations per year

Countries citing papers authored by M.S. Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by M.S. Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.S. Ferrer. 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 M.S. Ferrer. The network helps show where M.S. Ferrer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200343
2 199831
3 200321
4 199919
5 201718
6 200513
7 201212
8 201212
9 201512
10 201612
11 202011
12 20199
13 20238
14 20187
15 20216
16 20215
17 20215
18 20204
19 20114
20 20134

About M.S. Ferrer

M.S. Ferrer is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Agronomy and Crop Science, Genetics and Surgery, having authored 36 papers that have together received 278 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (19 papers), Sperm and Testicular Function (18 papers), Reproductive Physiology in Livestock (18 papers), Genetic and phenotypic traits in livestock (6 papers), Reproductive System and Pregnancy (3 papers), Ovarian function and disorders (2 papers), Renal and related cancers (2 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Reproductive Medicine (138 citations), Equine (24 citations), Agronomy and Crop Science (110 citations), Public Health, Environmental and Occupational Health (127 citations) and Physiology (22 citations). M.S. Ferrer has collaborated with scholars based in United States, Argentina and Mexico. Frequent co-authors include Roberto A. Palomares, Dale L. Paccamonti, S.K. Lyle, Bruce E. Eilts, Sreedhar Thirumala, Ram V. Devireddy, David E. Anderson, Melinda J. Wilkerson, David J. Hurley and Pere Coll. Their work appears in journals such as Theriogenology, Journal of Equine Veterinary Science, Animal Reproduction Science, Journal of the American Veterinary Medical Association and Reproduction.

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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