Kentaro Takanami

1.2k citations
60 papers · 778 indexed · h-index 15
Topics
Medical Imaging Techniques and Applications (14 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)Cardiac Imaging and Diagnostics (9 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
Partner nations
JapanPolandUnited States

In The Last Decade

Kentaro Takanami

54 papers receiving 755 citations

Peers

Kentaro Takanami
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 345
  • Surgery 295
  • Pulmonary and Respiratory Medicine 241
  • Cardiology and Cardiovascular Medicine 215
  • Oncology 160
Replace Peng Zhou with:
Peng Zhou China
Takafumi Mochizuki Japan
Jared D. Christensen United States
Imke Schatka Germany
Éric Saloux France
Björn A. Blomberg Netherlands
Steven Burrell Canada
Hans‐Jürgen Brambs Germany
Elin Trägårdh Sweden
Frederik F. Strobl Germany
Kentaro Takanami relative to Peng Zhou China Peng Zhou's profile →
Citations per field
00.5×2.8×
Peng Zhou · 1×
Citations per year

Countries citing papers authored by Kentaro Takanami

Since Specialization
Citations

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

Fields of papers citing papers by Kentaro Takanami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kentaro Takanami

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 4
4 0
5 1
6 5
7 10
8 5
9 18
10 9
11 11
12 42
13 1
14 20
15 20
16 9
17 3
18 10
19 7
20 5

About Kentaro Takanami

Kentaro Takanami is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 778 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Cardiac Imaging and Diagnostics (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (345 citations), Cardiology and Cardiovascular Medicine (215 citations) and Pulmonary and Respiratory Medicine (241 citations). Kentaro Takanami has collaborated with scholars based in Japan, Poland and United States. Frequent co-authors include Kei Takase, Shoki Takahashi, Tomohiro Kaneta, Hideki Ota, Keiichi Jingu, Shogo Yamada, Yasuhiro Nakamura, Hiroaki Shimokawa, Rei Umezawa and Masashi Tsuda. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

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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