Kei Takase

213 papers receiving 4.0k citations

Peers

Kei Takase
Comparison fields: 5 of 120
  • Health Informatics 76
  • Endocrinology, Diabetes and Metabolism 837
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Surgery 1.8k
  • Pulmonary and Respiratory Medicine 1.3k
Replace Svend Aakhus with:
Svend Aakhus Norway
Alberto Cuocolo Italy
Christoph Düber Germany
Peter Rehak Austria
Henry D. Royal United States
Seong‐Jang Kim South Korea
Mario Petretta Italy
Ingela Schnittger United States
Philipp Lurz Germany
Domenico Albano Italy
Kei Takase relative to Svend Aakhus Norway Svend Aakhus's profile →
Citations per field
00.5×4.5×
Svend Aakhus · 1×
Citations per year

Countries citing papers authored by Kei Takase

Since Specialization
Citations

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

Fields of papers citing papers by Kei Takase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kei Takase, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kei Takase Line = papers co-authored together Kei Takase links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 241 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002129
2 2018126
3 2004123
4 2014100
5 200898
6 201593
7 200592
8 200784
9 201381
10 202373
11 201471
12 200866
13 201162
14 200662
15 201562
16 201759
17 201058
18 201658
19 202055
20 200854

About Kei Takase

Kei Takase is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 241 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (35 papers), Adrenal and Paraganglionic Tumors (34 papers), MRI in cancer diagnosis (24 papers), Cardiac Imaging and Diagnostics (23 papers), Radiomics and Machine Learning in Medical Imaging (23 papers), Advanced MRI Techniques and Applications (18 papers), Renal and Vascular Pathologies (14 papers) and Aortic Disease and Treatment Approaches (13 papers). The work is most often cited by research in Health Informatics (76 citations), Endocrinology, Diabetes and Metabolism (837 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Surgery (1.8k citations) and Pulmonary and Respiratory Medicine (1.3k citations). Kei Takase has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Shoki Takahashi, Hideki Ota, Shunji Mugikura, Fumitoshi Satoh, Shuichi Higano, Takayuki Yamada, Kazumasa Seiji, Akihiro Sato, Kentaro Takanami and Sadayoshi Ito. Their work appears in journals such as European Radiology, Radiology, Journal of Computer Assisted Tomography, Journal of Vascular and Interventional Radiology and American Journal of Roentgenology.

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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