Daisuke Sakabe

600 citations
35 papers · 403 · h-index 13

Impact in

Papers in

Daisuke Sakabe

33 papers receiving 401 citations

Peers

Daisuke Sakabe
Comparison fields: 5 of 41
  • Radiology, Nuclear Medicine and Imaging 348
  • Biomedical Engineering 286
  • Health Informatics 6
  • Critical Care and Intensive Care Medicine 14
  • Cardiology and Cardiovascular Medicine 41
Replace Franziska Braun with:
Franziska Braun Germany
Takafumi Emoto Japan
Yuriko Yoshida Japan
Naruomi Akino Japan
Brian E. Jacobs United States
Angeliki Neroladaki Switzerland
Georgios Rampidis Greece
Antonio Moscariello Germany
Johannes Simon Germany
Anaïs Viry Switzerland
Daisuke Sakabe relative to Franziska Braun Germany Franziska Braun's profile →
Citations per field
00.5×4.2×
Franziska Braun · 1×
Citations per year

Countries citing papers authored by Daisuke Sakabe

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Sakabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daisuke Sakabe, 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 Daisuke Sakabe Line = papers co-authored together Daisuke Sakabe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202151
2 202037
3 202335
4 201828
5 202319
6 201918
7 202018
8 202218
9 202318
10 202214
11 200914
12 201514
13 202212
14 201610
15 201810
16 20159
17 20198
18 20218
19 20218
20 20177

About Daisuke Sakabe

Daisuke Sakabe is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 403 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (27 papers), Radiation Dose and Imaging (26 papers), Medical Imaging Techniques and Applications (14 papers), Cardiac Imaging and Diagnostics (11 papers), Coronary Interventions and Diagnostics (4 papers), Digital Radiography and Breast Imaging (2 papers), Chemotherapy-related skin toxicity (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (348 citations), Biomedical Engineering (286 citations), Health Informatics (6 citations), Critical Care and Intensive Care Medicine (14 citations) and Cardiology and Cardiovascular Medicine (41 citations). Daisuke Sakabe has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Takeshi Nakaura, Masafumi Kidoh, Yoshinori Funama, Yasunori Nagayama, Seitaro Oda, Takafumi Emoto, Toshinori Hirai, Seitaro Oda, Masahiro Hatemura and Yasuyuki Yamashita. Their work appears in journals such as Academic Radiology, European Journal of Radiology, European Radiology, Physica Medica and Medicine.

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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