Macarena G. Sanz

826 citations
48 papers · 506 indexed · h-index 14

Macarena G. Sanz

44 papers receiving 486 citations

Peers

Macarena G. Sanz
Comparison fields: 5 of 82
  • Equine 194
  • Small Animals 175
  • Endocrinology 56
  • Agronomy and Crop Science 102
  • Infectious Diseases 153
Replace Sarah J. Stoneham with:
Sarah J. Stoneham United Kingdom
Bettina Dunkel United Kingdom
Diana M. Hassel United States
Kelsey A. Hart United States
Gordon W. Brumbaugh United States
John B. Madison United States
Montague N. Saulez South Africa
Joseph J. Bertone United States
Laurie A. Beard United States
L. Monreal Spain
Macarena G. Sanz relative to Sarah J. Stoneham United Kingdom Sarah J. Stoneham's profile →
Citations per field
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Citations per year

Countries citing papers authored by Macarena G. Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Macarena G. Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Macarena G. Sanz. 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 Macarena G. Sanz. The network helps show where Macarena G. Sanz may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20238
5 20231
6 20233
7 20231
8 20231
9 20223
10 20212
11 202011
12 201913
13 20195
14 201538
15 20155
16 20119
17 200925
18 200724
19
Case Report: Assessment of sow mortality in a large herd
200716
20 199017

About Macarena G. Sanz

Macarena G. Sanz is a scholar working on Equine, Small Animals, Infectious Diseases, Agronomy and Crop Science and Endocrinology, having authored 48 papers that have together received 506 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (21 papers), Infectious Disease Case Reports and Treatments (12 papers), Animal health and immunology (7 papers), Streptococcal Infections and Treatments (7 papers), Veterinary Pharmacology and Anesthesia (7 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Reproductive Physiology in Livestock (4 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Equine (194 citations), Small Animals (175 citations), Endocrinology (56 citations), Agronomy and Crop Science (102 citations) and Infectious Diseases (153 citations). Macarena G. Sanz has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include D.W. Horohov, Alan T. Loynachan, Debra C. Sellon, Nicolás F. Villarino, Patrick Page, Montague N. Saulez, Luis M. Rubio‐Martínez, Carlos Juan Perfumo, Igor F. Canisso and Melissa T. Hines. Their work appears in journals such as Equine Veterinary Journal, Journal of Equine Veterinary Science, Veterinary Record, Journal of Veterinary Internal Medicine and Journal of the American Veterinary Medical Association.

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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