M. Kai

840 citations
30 papers · 652 · h-index 14

Impact in

  • Equine top 0.5%
    • Veterinary Equine Medical Research
    • Exercise and Physiological Responses

Papers in

    • Veterinary Equine Medical Research 9
    • Abdominal Trauma and Injuries 2

M. Kai

28 papers receiving 629 citations

Peers

M. Kai
Comparison fields: 5 of 93
  • Equine 250
  • Rehabilitation 103
  • Orthopedics and Sports Medicine 110
  • Animal Science and Zoology 90
  • Complementary and alternative medicine 53
Replace J. C. Estepa with:
J. C. Estepa Spain
Cecilia Vullo Italy
Werner Küpper Germany
Jon G. Whitehair United States
Carmen Pineda Spain
Min‐Xia Wang Australia
Christopher P. Jerome United States
Yasutomo Hori Japan
D Hartmann France
Mary Sarah Bergh United States
M. Kai relative to J. C. Estepa Spain J. C. Estepa's profile →
Citations per field
00.5×10×15×17.7×
J. C. Estepa · 1×
Citations per year

Countries citing papers authored by M. Kai

Since Specialization
Citations

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

Fields of papers citing papers by M. Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999103
2 199987
3 199964
4 200363
5 199441
6 200138
7 199534
8 199930
9 199529
10 199629
11 199719
12 199818
13 199916
14 199516
15 198713
16 199513
17 20028
18
Renal subcellular fractions producing angionecrosis and increased vascular permeability.
19757
19 19996
20 19934

About M. Kai

M. Kai is a scholar working on Equine, Surgery, Molecular Biology, Complementary and alternative medicine and Orthopedics and Sports Medicine, having authored 30 papers that have together received 652 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (9 papers), Cardiovascular and exercise physiology (5 papers), Exercise and Physiological Responses (4 papers), Sports Performance and Training (4 papers), Pharmacological Effects and Assays (3 papers), Abdominal Trauma and Injuries (2 papers), Muscle metabolism and nutrition (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Equine (250 citations), Rehabilitation (103 citations), Orthopedics and Sports Medicine (110 citations), Animal Science and Zoology (90 citations) and Complementary and alternative medicine (53 citations). M. Kai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Atsushi Hiraga, Hiroshi Egami, Katsuyoshi Kubo, Naoko Hayashi, B. K. Erickson, Yoshiki YAMAYA, Sadamu Takano, Yuji Kurusu, Michio Ogawa and Michio Ogawa. Their work appears in journals such as Equine Veterinary Journal, Medicine & Science in Sports & Exercise, Oncology Reports, Surgery and Surgical Infections.

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.

Explore authors with similar magnitude of impact