Tadato Kido

37 total papers · 1.6k total citations
28 papers, 1.1k citations indexed

About

Tadato Kido is a scholar working on Surgery, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Tadato Kido has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 17 papers in Epidemiology and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Tadato Kido's work include Shoulder and Clavicle Injuries (16 papers), Shoulder Injury and Treatment (16 papers) and Nerve Injury and Rehabilitation (12 papers). Tadato Kido is often cited by papers focused on Shoulder and Clavicle Injuries (16 papers), Shoulder Injury and Treatment (16 papers) and Nerve Injury and Rehabilitation (12 papers). Tadato Kido collaborates with scholars based in Japan, United States and France. Tadato Kido's co-authors include Eiji Itoi, Hiroshi Minagawa, Yuji Hatakeyama, Akihisa Sano, Masakazu Urayama, Kôzô Satô, Ikuko Wakabayashi, Takeshi Sato, Norikazu Konno and Koji Nozaka and has published in prestigious journals such as Journal of Bone and Joint Surgery, Spine and The American Journal of Sports Medicine.

In The Last Decade

Tadato Kido

26 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Tadato Kido 1.0k 887 102 73 71 28 1.1k
Kazuma Kikuchi 974 1.0× 641 0.7× 102 1.0× 83 1.1× 120 1.7× 36 1.1k
John M. Fenlin 915 0.9× 676 0.8× 137 1.3× 101 1.4× 48 0.7× 27 966
Ikuko Wakabayashi 1.0k 1.0× 859 1.0× 70 0.7× 76 1.0× 197 2.8× 23 1.1k
Ulf J. Schlegel 909 0.9× 464 0.5× 94 0.9× 46 0.6× 138 1.9× 28 997
Peter D McCann 1.1k 1.1× 773 0.9× 51 0.5× 64 0.9× 86 1.2× 34 1.3k
Tai-Yuan Chuang 933 0.9× 449 0.5× 152 1.5× 117 1.6× 149 2.1× 28 1.1k
Gary W. Misamore 1.3k 1.3× 740 0.8× 58 0.6× 55 0.8× 223 3.1× 23 1.3k
Scott Harris 1.4k 1.4× 1.2k 1.3× 55 0.5× 85 1.2× 83 1.2× 24 1.5k
Alexander Auffarth 1.2k 1.2× 914 1.0× 171 1.7× 36 0.5× 124 1.7× 65 1.3k
Alicia K. Harrison 1.2k 1.2× 924 1.0× 33 0.3× 102 1.4× 149 2.1× 28 1.3k

Countries citing papers authored by Tadato Kido

Since Specialization
Citations

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

Fields of papers citing papers by Tadato Kido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadato Kido

This figure shows the co-authorship network connecting the top 25 collaborators of Tadato Kido. A scholar is included among the top collaborators of Tadato Kido 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 Tadato Kido. Tadato Kido 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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