Fernando Ayllón

2.1k citations
55 papers · 1.5k · h-index 22

Impact in

Papers in

Fernando Ayllón

49 papers receiving 1.4k citations

Peers

Fernando Ayllón
Comparison fields: 5 of 89
  • Nature and Landscape Conservation 561
  • Physiology 152
  • Aquatic Science 227
  • Health, Toxicology and Mutagenesis 399
  • Orthopedics and Sports Medicine 207
Replace Meaghan J. MacNutt with:
Meaghan J. MacNutt Canada
Matthew R. Milnes United States
C. Louise Milligan Canada
Shannon P. Reidy Canada
W. Huntting Howell United States
A. G. Lotto Canada
Heikki Peltonen Finland
M. Christopher Barnhart United States
R. Verheyen Belgium
J.‐D. Dutil Canada
Fernando Ayllón relative to Meaghan J. MacNutt Canada Meaghan J. MacNutt's profile →
Citations per field
00.5×10.9×
Meaghan J. MacNutt · 1×
Citations per year

Countries citing papers authored by Fernando Ayllón

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Ayllón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000241
2 2015154
3 200999
4 200185
5 201166
6 200165
7 200357
8 200647
9 200841
10 201839
11 201039
12 201639
13 201333
14 202231
15 200331
16 200528
17 200827
18 201926
19 200824
20 200422

About Fernando Ayllón

Fernando Ayllón is a scholar working on Nature and Landscape Conservation, Genetics, Orthopedics and Sports Medicine, Physiology and Aquatic Science, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (24 papers), Genetic and phenotypic traits in livestock (17 papers), Genetic diversity and population structure (16 papers), Sports Performance and Training (10 papers), Reproductive biology and impacts on aquatic species (7 papers), Sports injuries and prevention (5 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Aquaculture Nutrition and Growth (4 papers). The work is most often cited by research in Nature and Landscape Conservation (561 citations), Physiology (152 citations), Aquatic Science (227 citations), Health, Toxicology and Mutagenesis (399 citations) and Orthopedics and Sports Medicine (207 citations). Fernando Ayllón has collaborated with scholars based in Spain, Norway and United States. Frequent co-authors include Eva García‐Vázquez, José Luis Martínez, Matthew R. Rhea, Edward Beall, Kevin A. Glover, Anna Wargelius, Monica F. Solberg, Derek Bunker, Rolf B. Edvardsen and Pedro J. Marín. Their work appears in journals such as Aquaculture, BMC Genetics, The Journal of Strength and Conditioning Research, ICES Journal of Marine Science and Ecotoxicology and Environmental Safety.

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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