M.D. Rubio

430 citations
26 papers · 307 · h-index 11

Impact in

  • Equine top 1%
    • Veterinary Equine Medical Research
    • Exercise and Physiological Responses
    • Stroke Rehabilitation and Recovery

Papers in

    • Veterinary Equine Medical Research 13
    • Muscle metabolism and nutrition 10

M.D. Rubio

25 papers receiving 286 citations

Peers

M.D. Rubio
Comparison fields: 5 of 58
  • Equine 134
  • Rehabilitation 89
  • Orthopedics and Sports Medicine 30
  • Cell Biology 56
  • Agronomy and Crop Science 29
Replace Loredana Grasso with:
Loredana Grasso Italy
Tetsuro Hada Japan
Ralph E. Beadle United States
James W. Farris United States
Hiroko Aida Japan
N. G. Ducharme United States
M. Kai Japan
Monika Gangl Belgium
Makoto Kai Japan
Reuben J. Rose Australia
M.D. Rubio relative to Loredana Grasso Italy Loredana Grasso's profile →
Citations per field
00.5×1.5×2.2×
Loredana Grasso · 1×
Citations per year

Countries citing papers authored by M.D. Rubio

Since Specialization
Citations

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

Fields of papers citing papers by M.D. Rubio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202041
2 201138
3 199923
4 202022
5 201722
6 199519
7 199518
8 200416
9 202015
10 200811
11 201410
12 201310
13 19979
14 19998
15 19967
16 19957
17 20116
18 20036
19
Blood parameter and heart rate response to training in Andalusian horses.
19956
20 20034

About M.D. Rubio

M.D. Rubio is a scholar working on Equine, Cell Biology, Rehabilitation, Animal Science and Zoology and Orthopedics and Sports Medicine, having authored 26 papers that have together received 307 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (13 papers), Muscle metabolism and nutrition (10 papers), Sports Performance and Training (5 papers), Meat and Animal Product Quality (4 papers), Exercise and Physiological Responses (4 papers), Animal Nutrition and Physiology (2 papers), Spinal Cord Injury Research (2 papers) and Pharmacological Effects and Assays (2 papers). The work is most often cited by research in Equine (134 citations), Rehabilitation (89 citations), Orthopedics and Sports Medicine (30 citations), Cell Biology (56 citations) and Agronomy and Crop Science (29 citations). M.D. Rubio has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include F. Castejón, Ana Muñoz, Estrella I. Agüera, Alejandro Salazar, David Lucena-Antón, Begoña M. Escribano, C. Riber, José A. Moral-Muñoz, Iván J. Núñez‐Gil and Luis Garcı́a-Guereta. Their work appears in journals such as Research in Veterinary Science, Journal of Clinical Medicine, Journal of Equine Veterinary Science, Veterinary Research Communications and JMIR mhealth and uhealth.

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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