Takeshi Kamomae

494 citations
44 papers · 359 indexed · h-index 11

Takeshi Kamomae

38 papers receiving 351 citations

Peers

Takeshi Kamomae
Comparison fields: 5 of 48
  • Radiation 256
  • Health Informatics 15
  • Radiology, Nuclear Medicine and Imaging 193
  • Pulmonary and Respiratory Medicine 159
  • Biomedical Engineering 110
Replace Juliana Fernandes Pavoni with:
Juliana Fernandes Pavoni Brazil
Mikoto Tamura Japan
Martijn Kusters Netherlands
Joel Carlson South Korea
Trent Aland Australia
Benjamin Rosen United States
Karl Rasmussen United States
Vanessa Panettieri Australia
Kelly Kisling United States
Harold Li United States
Takeshi Kamomae relative to Juliana Fernandes Pavoni Brazil Juliana Fernandes Pavoni's profile →
Citations per field
00.5×3.8×
Juliana Fernandes Pavoni · 1×
Citations per year

Countries citing papers authored by Takeshi Kamomae

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Kamomae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20241
5 20234
6 20223
7 20211
8 20216
9 20192
10 201767
11 20176
12 201610
13 201623
14 201516
15 201513
16 201511
17 20130
18 20118
19 20115
20 20081

About Takeshi Kamomae

Takeshi Kamomae is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (37 papers), Radiation Therapy and Dosimetry (17 papers), Advanced X-ray and CT Imaging (12 papers), Medical Imaging Techniques and Applications (11 papers), Radiation Dose and Imaging (9 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Prostate Cancer Treatment and Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiation (256 citations), Health Informatics (15 citations) and Radiology, Nuclear Medicine and Imaging (193 citations). Takeshi Kamomae has collaborated with scholars based in Japan, Hungary and United States. Frequent co-authors include Shinji Naganawa, Yoshiyuki Itoh, Hajime Monzen, Mariko Kawamura, Kazuhiro Ohtakara, Hitoshi Ikushima, Masataka Komori, Hidetoshi Shimizu, Takahiro Aoyama and Mikoto Tamura. Their work appears in journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

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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