Hideaki Uozumi

440 total citations
12 papers, 326 citations indexed

About

Hideaki Uozumi is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hideaki Uozumi has authored 12 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Surgery and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hideaki Uozumi's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Medical Imaging Techniques and Applications (2 papers). Hideaki Uozumi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Medical Imaging Techniques and Applications (2 papers). Hideaki Uozumi collaborates with scholars based in Japan and Italy. Hideaki Uozumi's co-authors include Tomoko Baba, Tomoko Gotō, Yoshihiro Shibata, Yasuyuki Yamashita, Tomoko Okuda, Natsuo Oya, Shinya Shiraishi, Shigehiko Katsuragawa, Ryuji Murakami and Toshinori Hirai and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Anesthesia & Analgesia and The Annals of Thoracic Surgery.

In The Last Decade

Hideaki Uozumi

10 papers receiving 318 citations

Peers

Hideaki Uozumi
Comparison fields: 5 of 37
  • Surgery 158
  • Cardiology and Cardiovascular Medicine 106
  • Otorhinolaryngology 98
  • Pulmonary and Respiratory Medicine 84
  • Radiology, Nuclear Medicine and Imaging 75
Replace Joseph Whiteley with:
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Maurizio Boaron Italy
Verónica Fernández‐Álvarez Spain
Johannes M. Huitink Netherlands
Yunke Zhu China
Hye Na Jung South Korea
Tomasz Nabiałek Poland
Camilla Poggi Italy
Lei Jiang China
Joseph Whiteley United States View profile →
Citations per field, relative to Hideaki Uozumi
Hideaki Uozumi · 1×
Citations per year, relative to Hideaki Uozumi
Hideaki Uozumi · 1×

Countries citing papers authored by Hideaki Uozumi

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Uozumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Uozumi

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 2
3 128
4 10
5 0
6
[Clinical evaluation of gastric diverticulum on indirect radiograph for gastric mass survey].
2
7 85
8 33
9 24
10 1
11 31
12 10

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