Yutaka Katayama

455 total citations
20 papers, 308 citations indexed

About

Yutaka Katayama is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Yutaka Katayama has authored 20 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in Yutaka Katayama's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers) and MRI in cancer diagnosis (2 papers). Yutaka Katayama is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers) and MRI in cancer diagnosis (2 papers). Yutaka Katayama collaborates with scholars based in Japan and United States. Yutaka Katayama's co-authors include Yukio Miki, Daiju Ueda, Akitoshi Shimazaki, Akira Yamamoto, Shinya Fukumoto, Taro Shimono, Satoshi Doishita, Yuki Shimahara, Masayuki Ueda and Hiroyuki Tatekawa and has published in prestigious journals such as Neurology, Radiology and Frontiers in Endocrinology.

In The Last Decade

Yutaka Katayama

17 papers receiving 302 citations

Peers

Yutaka Katayama
Comparison fields: 5 of 50
  • Radiology, Nuclear Medicine and Imaging 108
  • Neurology 106
  • Pulmonary and Respiratory Medicine 104
  • Cellular and Molecular Neuroscience 56
  • Neurology 49
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Citations per field, relative to Yutaka Katayama
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Citations per year, relative to Yutaka Katayama
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Countries citing papers authored by Yutaka Katayama

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Katayama

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Katayama. A scholar is included among the top collaborators of Yutaka Katayama 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 Yutaka Katayama. Yutaka Katayama 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 3
2 19
3 10
4 6
5 25
6 0
7 8
8 147
9 1
10 0
11 1
12 5
13 9
14 1
15 7
16 25
17
Semi-automatic ROI placement system for analysis of brain PET images based on elastic model: application to diagnosis of Alzheimer's disease.
7
18 31
19
[Abnormally distributed regional cerebral blood flow in brain malformations detected by single photon emission computed tomography].
1
20
[Neuroradiological findings on cerebral blood flow and metabolism of a case of adult onset sialidosis].
2

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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