Takayoshi Shinya

729 total citations
48 papers, 527 citations indexed

About

Takayoshi Shinya is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Takayoshi Shinya has authored 48 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 16 papers in Surgery. Recurrent topics in Takayoshi Shinya's work include Medical Imaging Techniques and Applications (13 papers), Medical Imaging and Pathology Studies (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Takayoshi Shinya is often cited by papers focused on Medical Imaging Techniques and Applications (13 papers), Medical Imaging and Pathology Studies (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Takayoshi Shinya collaborates with scholars based in Japan, Germany and Italy. Takayoshi Shinya's co-authors include Kenichi Kashihara, Takaki Imamura, Susumu Kanazawa, Shuhei Sato, Katsuya Kato, Yoshihiro Okumura, Tadashi Yoshino, Yoichi Otomi, Shiro Akaki and Hideki Otsuka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Computer Assisted Tomography.

In The Last Decade

Takayoshi Shinya

44 papers receiving 525 citations

Peers

Takayoshi Shinya
Comparison fields: 5 of 65
  • Neurology 238
  • Radiology, Nuclear Medicine and Imaging 175
  • Pulmonary and Respiratory Medicine 145
  • Surgery 81
  • Cellular and Molecular Neuroscience 79
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Citations per field, relative to Takayoshi Shinya
Takayoshi Shinya · 1×
Citations per year, relative to Takayoshi Shinya
Takayoshi Shinya · 1×

Countries citing papers authored by Takayoshi Shinya

Since Specialization
Citations

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

Fields of papers citing papers by Takayoshi Shinya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayoshi Shinya

This figure shows the co-authorship network connecting the top 25 collaborators of Takayoshi Shinya. A scholar is included among the top collaborators of Takayoshi Shinya 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 Takayoshi Shinya. Takayoshi Shinya 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
# Work Indexed citations
1 1
2 0
3 0
4 2
5 0
6 13
7 7
8 3
9 6
10 1
11 7
12 17
13 4
14 10
15 7
16 25
17 88
18 19
19 4
20 3

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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