Kan Imai

626 citations
35 papers · 425 · h-index 13

Impact in

Papers in

Kan Imai

33 papers receiving 404 citations

Peers

Kan Imai
Comparison fields: 5 of 45
  • Orthopedics and Sports Medicine 338
  • Endocrinology, Diabetes and Metabolism 197
  • Biomedical Engineering 267
  • Rheumatology 32
  • Surgery 92
Replace Xin Ma with:
Xin Ma China
Ramón Viladot Pericé Spain
Hiroaki Shima Japan
Fernando Raduan Brazil
Matthew S. Conti United States
Jade M. Tan Australia
Yue Shuen Wong Singapore
Stefan G. Hofstaetter Austria
Moisés Fernández Hernando Spain
John Angel United Kingdom
Kan Imai relative to Xin Ma China Xin Ma's profile →
Citations per field
00.5×2.7×
Xin Ma · 1×
Citations per year

Countries citing papers authored by Kan Imai

Since Specialization
Citations

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

Fields of papers citing papers by Kan Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201166
2 201351
3 201441
4 201632
5 200929
6 201416
7 201516
8 201015
9 201114
10 201414
11 201913
12 201513
13 200812
14 201710
15 200710
16 20049
17 20088
18 20148
19 20196
20 20186

About Kan Imai

Kan Imai is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Surgery and Rheumatology, having authored 35 papers that have together received 425 indexed citations. Recurring topics across this work include Foot and Ankle Surgery (19 papers), Lower Extremity Biomechanics and Pathologies (16 papers), Diabetic Foot Ulcer Assessment and Management (11 papers), Tendon Structure and Treatment (8 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Orthopedic Surgery and Rehabilitation (3 papers) and Spinal Fractures and Fixation Techniques (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (338 citations), Endocrinology, Diabetes and Metabolism (197 citations), Biomedical Engineering (267 citations), Rheumatology (32 citations) and Surgery (92 citations). Kan Imai has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuya Ikoma, Toshikazu Kubo, Masamitsu Kido, Daisaku Tokunaga, Nozomu Inoue, Masahiro Maki, Ryota Takatori, Hiroyoshi Fujiwara, Yusuke Hara and Yuji Arai. Their work appears in journals such as Modern Rheumatology, The Journal of Foot & Ankle Surgery, Foot & Ankle International, Clinical Biomechanics and The Foot.

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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