Mai Katakura

78 total papers · 762 total citations
44 papers, 510 citations indexed

About

Mai Katakura is a scholar working on Surgery, Orthopedics and Sports Medicine and Biomedical Engineering. According to data from OpenAlex, Mai Katakura has authored 44 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 20 papers in Orthopedics and Sports Medicine and 7 papers in Biomedical Engineering. Recurrent topics in Mai Katakura's work include Knee injuries and reconstruction techniques (17 papers), Total Knee Arthroplasty Outcomes (13 papers) and Sports injuries and prevention (12 papers). Mai Katakura is often cited by papers focused on Knee injuries and reconstruction techniques (17 papers), Total Knee Arthroplasty Outcomes (13 papers) and Sports injuries and prevention (12 papers). Mai Katakura collaborates with scholars based in Japan, United Kingdom and Spain. Mai Katakura's co-authors include Hideyuki Koga, Takeshi Muneta, Ichiro Sekiya, Toshifumi Watanabe, Masafumi Horie, Koji Otabe, Hiroki Katagiri, Toshiyuki Ohara, Gang Zhao and Lingwei Meng and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Sports Medicine and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Mai Katakura

36 papers receiving 486 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mai Katakura 359 246 62 62 33 44 510
Young Bok Jung 386 1.1× 176 0.7× 27 0.4× 15 0.2× 7 0.2× 33 478
Nirmal Raj Gopinathan 249 0.7× 112 0.5× 61 1.0× 29 0.5× 4 0.1× 74 507
Jianjun Hong 294 0.8× 219 0.9× 54 0.9× 66 1.1× 9 0.3× 37 540
Yujiro Mori 401 1.1× 66 0.3× 89 1.4× 4 0.1× 13 0.4× 21 597
Farshid Mohammadi 277 0.8× 410 1.7× 170 2.7× 3 0.0× 7 0.2× 18 591
Dong-Eun Shin 297 0.8× 69 0.3× 45 0.7× 4 0.1× 16 0.5× 28 486
Mohammad Tezval 156 0.4× 292 1.2× 31 0.5× 37 0.6× 9 0.3× 25 507
Bo Yang 238 0.7× 115 0.5× 48 0.8× 11 0.2× 2 0.1× 40 529
Ningfang Mao 221 0.6× 99 0.4× 81 1.3× 13 0.2× 31 0.9× 27 540
Arastoo Nia 279 0.8× 110 0.4× 22 0.4× 6 0.1× 19 0.6× 19 554

Countries citing papers authored by Mai Katakura

Since Specialization
Citations

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

Fields of papers citing papers by Mai Katakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Katakura

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Katakura. A scholar is included among the top collaborators of Mai Katakura 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 Mai Katakura. Mai Katakura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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