Tetsuro Sekine

1.1k citations
72 papers · 763 indexed · h-index 16
Topics
Medical Imaging Techniques and Applications (19 papers)Radiomics and Machine Learning in Medical Imaging (19 papers)Advanced MRI Techniques and Applications (17 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeuroImage

In The Last Decade

Tetsuro Sekine

65 papers receiving 754 citations

Peers

Tetsuro Sekine
Comparison fields: 5 of 64
  • Radiology, Nuclear Medicine and Imaging 446
  • Pulmonary and Respiratory Medicine 239
  • Cardiology and Cardiovascular Medicine 137
  • Surgery 95
  • Epidemiology 91
Replace Andrik J. Aschoff with:
Andrik J. Aschoff Germany
Sina Houshmand United States
René Aschenbach Germany
Olivier Rager Switzerland
José Carreras‐Mora Spain
Tadhg G. Gleeson Ireland
Hideki Otsuka Japan
Jared D. Christensen United States
David Lawrence United Kingdom
Mana Yoshimura Japan
Tetsuro Sekine relative to Andrik J. Aschoff Germany Andrik J. Aschoff's profile →
Citations per field
00.5×8.4×
Andrik J. Aschoff · 1×
Citations per year

Countries citing papers authored by Tetsuro Sekine

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuro Sekine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuro Sekine

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuro Sekine. A scholar is included among the top collaborators of Tetsuro Sekine 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 Tetsuro Sekine. Tetsuro Sekine 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 1
2 0
3 2
4 0
5 3
6 2
7 1
8 0
9 2
10 2
11 2
12 12
13 37
14 12
15
Local resectability assessment of head and neck cancer, PET/MR versus PET/CT
1
16 33
17 24
18 3
19 5
20 1

About Tetsuro Sekine

Tetsuro Sekine is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine, having authored 72 papers that have together received 763 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (19 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Advanced MRI Techniques and Applications (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (446 citations), Otorhinolaryngology (53 citations) and Pulmonary and Respiratory Medicine (239 citations). Tetsuro Sekine has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Gaspar Delso, Patrick Veit‐Haibach, Martin W. Huellner, Edwin E. G. W. ter Voert, Shin‐ichiro Kumita, Geoffrey Warnock, Alfred Buck, Felipe de Galiza Barbosa, Ryo Takagi and Yasuo Amano. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

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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