Toru Fujita

1.2k citations
47 papers · 972 indexed · h-index 18

Toru Fujita

46 papers receiving 929 citations

Peers

Toru Fujita
Comparison fields: 5 of 90
  • Radiology, Nuclear Medicine and Imaging 578
  • Obstetrics and Gynecology 66
  • Pulmonary and Respiratory Medicine 262
  • Reproductive Medicine 59
  • Cardiology and Cardiovascular Medicine 144
Replace Mubarik Arshad with:
Mubarik Arshad United Kingdom
Annemarieke Rutten Netherlands
G.R. Cherryman United Kingdom
Kavous Firouznia Iran
Wenbo Li China
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Citations per year

Countries citing papers authored by Toru Fujita

Since Specialization
Citations

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

Fields of papers citing papers by Toru Fujita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20163
2 20152
3
A study on musical characteristics that distinguish different musicians
20081
4 200639
5 20040
6 200411
7 200376
8 20024
9 200214
10 20008
11 199623
12
Age and gender differences in normal myocardial adrenergic neuronal function evaluated by iodine-123-MIBG imaging.
1995105
13
Indium-111-antimyosin antibody imaging for detecting different stages of myocardial infarction: comparison with technetium-99m-pyrophosphate imaging.
199027
14 19883
15
Sipple's syndrome with liver tumors examined by iodine-131 MIBG and technetium-99m(V)-DMSA.
19882
16 198510
17 19843
18 19833
19
Determination of the pleural edge by gamma-ray transmission computed tomography.
198121
20 19796

About Toru Fujita

Toru Fujita is a scholar working on Radiology, Nuclear Medicine and Imaging, Hardware and Architecture and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 972 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (17 papers), Medical Imaging and Pathology Studies (10 papers), Advanced X-ray and CT Imaging (8 papers), Cardiac Imaging and Diagnostics (7 papers), Advanced MRI Techniques and Applications (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (578 citations), Obstetrics and Gynecology (66 citations) and Pulmonary and Respiratory Medicine (262 citations). Toru Fujita has collaborated with scholars based in Japan, Brazil and United States. Frequent co-authors include K Torizuka, Yoshiharu Yonekura, Nagara Tamaki, Junji Konishi, Takao Mukai, Yasushi Ishii, Sadahiko Nishizawa, J Kawamura, Osamu Yoshida and Shinsaku Tsuchimochi.

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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