Kenji Takao

468 total citations
29 papers, 346 citations indexed

About

Kenji Takao is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Sociology and Political Science. According to data from OpenAlex, Kenji Takao has authored 29 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Orthopedics and Sports Medicine, 6 papers in Biomedical Engineering and 4 papers in Sociology and Political Science. Recurrent topics in Kenji Takao's work include Sports Performance and Training (10 papers), Sports injuries and prevention (6 papers) and Lower Extremity Biomechanics and Pathologies (5 papers). Kenji Takao is often cited by papers focused on Sports Performance and Training (10 papers), Sports injuries and prevention (6 papers) and Lower Extremity Biomechanics and Pathologies (5 papers). Kenji Takao collaborates with scholars based in Japan. Kenji Takao's co-authors include Tadahiro Motoyoshi, Saburo Ikeda, Tadao Isaka, Kentaro Kojima, Ryohei Nishimura, Tadashi Suga, Tatsushi Mutoh, Nobuo Sasaki, Akinori Nagano and Takahiro Tanaka and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Vaccine and Scandinavian Journal of Medicine and Science in Sports.

In The Last Decade

Kenji Takao

27 papers receiving 329 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kenji Takao Japan 11 112 88 85 56 47 29 346
David J. Knight United States 11 11 0.1× 269 3.1× 31 0.4× 33 0.6× 2 0.0× 23 671
Rachel Moss United Kingdom 11 49 0.4× 33 0.4× 36 0.4× 12 0.2× 33 404
Jacob F. Piil Denmark 15 7 0.1× 28 0.3× 107 1.3× 15 0.3× 9 0.2× 18 646
Emily Grant New Zealand 9 9 0.1× 37 0.4× 73 0.9× 17 0.3× 14 306
Richard Gordon United States 9 63 0.6× 44 0.5× 6 0.1× 8 0.1× 39 229
Finn Nilson Sweden 14 48 0.4× 10 0.1× 66 0.8× 11 0.2× 2 0.0× 52 522
Chister Edling Sweden 13 22 0.2× 11 0.1× 13 0.2× 4 0.1× 11 0.2× 16 521
Sarah Koch Spain 12 26 0.2× 29 0.3× 30 0.4× 5 0.1× 2 0.0× 42 382
Rosemary Ziemba United States 8 33 0.3× 8 0.1× 11 0.1× 10 0.2× 8 0.2× 15 361
Jerold Z. Kaplan United States 8 6 0.1× 19 0.2× 5 0.1× 8 0.1× 5 0.1× 8 393

Countries citing papers authored by Kenji Takao

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Takao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Takao

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Takao. A scholar is included among the top collaborators of Kenji Takao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenji Takao. Kenji Takao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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2.
Takao, Kenji, Shingo Ueki, & Mai Kabayama. (2024). Systematizing Complaints About Healthcare and Services at University Hospitals: Content Analysis of Patient/Family Letters. Journal of Patient Experience. 11. 682770608–682770608. 1 indexed citations
3.
Takao, Kenji, Takashi Sugiyama, Sumiaki Maeo, et al.. (2022). Heavy Resistance Training Versus Plyometric Training for Improving Running Economy and Running Time Trial Performance: A Systematic Review and Meta-analysis. Sports Medicine - Open. 8(1). 138–138. 14 indexed citations
4.
5.
Suzuki, Yasuhiro, et al.. (2021). Relationship between respiratory muscle endurance and dyspnea during high-intensity exercise in trained distance runners. Respiratory Physiology & Neurobiology. 296. 103812–103812. 2 indexed citations
6.
Suga, Tadashi, Kenji Takao, Takahiro Tanaka, et al.. (2021). Association between patellar tendon moment arm and running performance in endurance runners. Physiological Reports. 9(15). e14981–e14981. 3 indexed citations
7.
Fukutani, Atsuki, Kenji Takao, Mitsuo Otsuka, et al.. (2020). Comparison of the relative muscle volume of triceps surae among sprinters, runners, and untrained participants. Physiological Reports. 8(19). e14588–e14588. 5 indexed citations
8.
Suga, Tadashi, et al.. (2019). The Potential Relationship Between Leg Bone Length and Running Performance in Well‐Trained Endurance Runners. Journal of Human Kinetics. 70(1). 165–172. 7 indexed citations
9.
Katayama, Keisho, Kazushige Goto, Toshiyuki Ohya, et al.. (2019). Effects of Respiratory Muscle Endurance Training in Hypoxia on Running Performance. Medicine & Science in Sports & Exercise. 51(7). 1477–1486. 11 indexed citations
10.
Suga, Tadashi, et al.. (2018). Association between Forefoot Bone Length and Performance in Male Endurance Runners. International Journal of Sports Medicine. 39(4). 275–281. 9 indexed citations
11.
Suga, Tadashi, et al.. (2017). Potential Relationship between Passive Plantar Flexor Stiffness and Running Performance. International Journal of Sports Medicine. 39(3). 204–209. 16 indexed citations
12.
Suga, Tadashi, et al.. (2017). Relationship between Achilles tendon length and running performance in well‐trained male endurance runners. Scandinavian Journal of Medicine and Science in Sports. 28(2). 446–451. 26 indexed citations
13.
Katayama, Keisho, Erika Iwamoto, Kazushige Goto, et al.. (2016). Blunted blood pressure response during hyperpnoea in endurance runners. Respiratory Physiology & Neurobiology. 230. 22–28. 11 indexed citations
14.
Takao, Kenji, et al.. (2009). Nurses' Perception of Necessary Factors in Gaining Consent from Patients: Verbal-mediated Communication and Non-verbal Communication. 15(1). 9–13. 1 indexed citations
15.
Motoyoshi, Tadahiro, Kenji Takao, & Saburo Ikeda. (2004). Determinant factors of community-based disaster preparedness. The Japanese journal of psychology. 75(1). 72–77. 17 indexed citations
16.
Takao, Kenji, et al.. (2004). Factors determining residents’ preparedness for floods in modern megalopolises: the case of the Tokai flood disaster in Japan. Journal of Risk Research. 7(7-8). 775–787. 115 indexed citations
17.
Takao, Kenji. (2003). Factors Determining Disaster Preparedness in Residents : Differences in Terms of Homeownership and Age. 9(1). 21–29. 3 indexed citations
18.
Mutoh, Tatsushi, Kentaro Kojima, Kenji Takao, Ryohei Nishimura, & Nobuo Sasaki. (2001). Comparison of Sevoflurane with Isoflurane for Rapid Mask Induction in Midazolam and Butorphanol‐sedated Dogs. Journal of Veterinary Medicine Series A. 48(4). 223–230. 16 indexed citations
19.
Kojima, Kentaro, Ryohei Nishimura, Tatsushi Mutoh, et al.. (1999). Comparison of Cardiopulmonary Effects of Medetomidine–Midazolam, Acepromazine–Butorphanol and Midazolam–Butorphanol in Dogs. Journal of Veterinary Medicine Series A. 46(6). 353–359. 21 indexed citations
20.
Kojima, Kentaro, Ryohei Nishimura, Tatsushi Mutoh, et al.. (1999). Comparison of Sedative Effects of Medetomidine‐Midazolam,. Acepromazine‐Butorphanol and Midazolam‐Butorphanol in Dogs. Journal of Veterinary Medicine Series A. 46(3). 141–148. 23 indexed citations

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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2026