Samuel Miño

28 papers receiving 486 citations

Peers

Samuel Miño
Comparison fields: 5 of 44
  • Infectious Diseases 320
  • Animal Science and Zoology 182
  • Hepatology 61
  • Agronomy and Crop Science 83
  • Cardiology and Cardiovascular Medicine 148
Replace Elena Canelli with:
Elena Canelli Italy
Daniela Gelmetti Italy
Fernando Moliní Fernández Argentina
Xinyan Zhai China
B. Šmíd Czechia
Kerlei Cristina Médici Brazil
Jiexiong Xie China
Werner Eichhorn Germany
Tomislav Keros Croatia
J. D. Callahan United States
Samuel Miño relative to Elena Canelli Italy Elena Canelli's profile →
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Citations per year

Countries citing papers authored by Samuel Miño

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Miño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201155
2 200946
3 201234
4 201634
5 201033
6 201533
7 202227
8 200827
9 201524
10 202021
11 201919
12 201419
13 202018
14 201215
15 201514
16 201713
17 202212
18 201611
19
Bovine μ-calpain (CAPN1) gene polymorphisms in Brangus and Brahman bulls
20108
20 20236

About Samuel Miño

Samuel Miño is a scholar working on Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 29 papers that have together received 491 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (21 papers), Viral Infections and Immunology Research (14 papers), Animal Virus Infections Studies (14 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Vector-Borne Animal Diseases (4 papers), Herpesvirus Infections and Treatments (4 papers), Respiratory viral infections research (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (320 citations), Animal Science and Zoology (182 citations), Hepatology (61 citations), Agronomy and Crop Science (83 citations) and Cardiology and Cardiovascular Medicine (148 citations). Samuel Miño has collaborated with scholars based in Argentina, Belgium and United States. Frequent co-authors include Viviana Parreño, M. Barrandeguy, Lorena Garaicoechea, Alejandra Badaracco, Celina G. Vega, Jelle Matthijnssens, Domingo Javier Liotta, Max Ciarlet, Mark Zeller and Marc Van Ranst. Their work appears in journals such as Veterinary Microbiology, Viruses, Journal of Equine Veterinary Science, Journal of General Virology and Environmental Advances.

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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