Beatriz Macías‐García

1.5k citations
67 papers · 1.2k indexed · h-index 20

Beatriz Macías‐García

62 papers receiving 1.2k citations

Peers

Beatriz Macías‐García
Comparison fields: 5 of 91
  • Reproductive Medicine 839
  • Public Health, Environmental and Occupational Health 749
  • Physiology 110
  • Equine 35
  • Agronomy and Crop Science 171
Replace Khalida Sabeur with:
Khalida Sabeur United States
Claire Glister United Kingdom
G.C. Luvoni Italy
C. Perreau France
Isabelle Donnay Belgium
I.M. Aparicio Spain
Nadine Gérard France
Rozenn Dalbiès‐Tran France
Masashi Nagano Japan
Christopher G. Grupen Australia
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Citations per field
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Citations per year

Countries citing papers authored by Beatriz Macías‐García

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Macías‐García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatriz Macías‐García. 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 Beatriz Macías‐García. The network helps show where Beatriz Macías‐García may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20240
4 20231
5 20233
6 20235
7 20223
8 20206
9 202015
10 201914
11 20192
12 201922
13 201839
14 201844
15 20174
16 201511
17 201514
18 201214
19 201217
20 201223

About Beatriz Macías‐García

Beatriz Macías‐García is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Physiology, Equine and Agronomy and Crop Science, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (44 papers), Sperm and Testicular Function (43 papers), Ovarian function and disorders (14 papers), Reproductive Physiology in Livestock (8 papers), Reproductive System and Pregnancy (6 papers), Reproductive biology and impacts on aquatic species (6 papers), Research on Leishmaniasis Studies (4 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Reproductive Medicine (839 citations), Public Health, Environmental and Occupational Health (749 citations), Physiology (110 citations), Equine (35 citations) and Agronomy and Crop Science (171 citations). Beatriz Macías‐García has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Lauro González‐Fernández, Fernando J. Peña, K. Hinrichs, José A. Tapia, Cristina Ortega‐Ferrusola, I. C. Velez, Dickson D. Varner, Shavahn C. Loux, Alvaro Miró-Morán and C Balao da Silva. Their work appears in journals such as Reproduction in Domestic Animals, Theriogenology, Biology of Reproduction, Animal Reproduction Science and Journal of Equine Veterinary Science.

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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