Tokue Mieda

68 total papers · 692 total citations
50 papers, 427 citations indexed

About

Tokue Mieda is a scholar working on Surgery, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Tokue Mieda has authored 50 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 17 papers in Pathology and Forensic Medicine and 10 papers in Neurology. Recurrent topics in Tokue Mieda's work include Spine and Intervertebral Disc Pathology (12 papers), Spinal Fractures and Fixation Techniques (12 papers) and Cervical and Thoracic Myelopathy (10 papers). Tokue Mieda is often cited by papers focused on Spine and Intervertebral Disc Pathology (12 papers), Spinal Fractures and Fixation Techniques (12 papers) and Cervical and Thoracic Myelopathy (10 papers). Tokue Mieda collaborates with scholars based in Japan and Serbia. Tokue Mieda's co-authors include Yoichi Iizuka, Haku Iizuka, Kenji Takagishi, Tsuyoshi Tajika, Atsushi Yamamoto, Kazuhiro Nakamura, Hirokazu Hirai, Tsuyoshi Sasaki, Hirotaka Chikuda and Eiji Takasawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bone and Joint Surgery.

In The Last Decade

Tokue Mieda

43 papers receiving 420 citations

Author Peers

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

Author Last Decade Papers Cites
Tokue Mieda 182 126 122 59 58 50 427
Ahmet Gürhan Gürçay 147 0.8× 131 1.0× 82 0.7× 26 0.4× 40 0.7× 37 414
İdiris Altun 158 0.9× 181 1.4× 104 0.9× 44 0.7× 66 1.1× 32 406
Emre Adıgüzel 125 0.7× 108 0.9× 57 0.5× 78 1.3× 23 0.4× 42 460
Robert L. Harmon 127 0.7× 91 0.7× 53 0.4× 30 0.5× 35 0.6× 31 470
Masaki Norimoto 194 1.1× 150 1.2× 110 0.9× 29 0.5× 17 0.3× 46 390
Cheul-Hong Kim 129 0.7× 123 1.0× 48 0.4× 86 1.5× 70 1.2× 44 453
Peng Yao 104 0.6× 123 1.0× 98 0.8× 33 0.6× 43 0.7× 42 458
Evangelos Kogias 277 1.5× 234 1.9× 58 0.5× 49 0.8× 45 0.8× 38 477
Grzegorz Miękisiak 192 1.1× 200 1.6× 125 1.0× 24 0.4× 16 0.3× 44 469
Ke Ma 63 0.3× 69 0.5× 143 1.2× 43 0.7× 31 0.5× 38 405

Countries citing papers authored by Tokue Mieda

Since Specialization
Citations

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

Fields of papers citing papers by Tokue Mieda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tokue Mieda

This figure shows the co-authorship network connecting the top 25 collaborators of Tokue Mieda. A scholar is included among the top collaborators of Tokue Mieda 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 Tokue Mieda. Tokue Mieda 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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2026