Kai‐Yu Ho

1.1k citations
63 papers · 845 · h-index 15

Impact in

Papers in

Kai‐Yu Ho

60 papers receiving 795 citations

Peers

Kai‐Yu Ho
Comparison fields: 5 of 104
  • Orthopedics and Sports Medicine 331
  • Occupational Therapy 74
  • Biomedical Engineering 385
  • Endocrinology, Diabetes and Metabolism 104
  • Surgery 249
Replace Samuel Dekel with:
Samuel Dekel Israel
Masahiro Iwata Japan
Rita de Cássia Marqueti Brazil
G Fekete Hungary
Joan M. Round United Kingdom
Graham Z. MacDonald Canada
Ida Carøe Helmark Denmark
Yasushi Takata Japan
Markus de Marées Germany
Daijiro Abe Japan
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Citations per field
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Citations per year

Countries citing papers authored by Kai‐Yu Ho

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Yu Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201297
2 201464
3 201560
4 200356
5 201346
6 198645
7
Hereditary hyperlipidemia in nonlaying chickens.
197440
8 201334
9 197529
10 201428
11
A review of human cholesterol metabolism.
196722
12 197421
13
Inhibition of suppressor T cells in pokeweed mitogen-stimulated cultures of T and B cells by levamisole in vitro and in vivo.
198120
14 197618
15 201715
16 201214
17 201914
18 197214
19 198114
20 200213

About Kai‐Yu Ho

Kai‐Yu Ho is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering, Surgery, Occupational Therapy and Radiology, Nuclear Medicine and Imaging, having authored 63 papers that have together received 845 indexed citations. Recurring topics across this work include Lower Extremity Biomechanics and Pathologies (21 papers), Sports injuries and prevention (13 papers), Sports Performance and Training (8 papers), Occupational Health and Performance (7 papers), Tendon Structure and Treatment (6 papers), Knee injuries and reconstruction techniques (5 papers), Cholesterol and Lipid Metabolism (5 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (331 citations), Occupational Therapy (74 citations), Biomedical Engineering (385 citations), Endocrinology, Diabetes and Metabolism (104 citations) and Surgery (249 citations). Kai‐Yu Ho has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Christopher M. Powers, Shawn Farrokhi, Patrick M. Colletti, Joyce H. Keyak, Peng Hu, C. B. Taylor, Yu-Jen Chen, Richard B. Souza, Nicholas Yang and L.A. Lewis. Their work appears in journals such as Experimental Biology and Medicine, Journal of Orthopaedic and Sports Physical Therapy, Atherosclerosis, Gait & Posture and Frontiers in Physiology.

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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