Eisuke Matsui

1.3k citations
35 papers · 949 · h-index 13

Impact in

Papers in

Eisuke Matsui

32 papers receiving 910 citations

Peers

Eisuke Matsui
Comparison fields: 5 of 75
  • Pulmonary and Respiratory Medicine 701
  • Radiology, Nuclear Medicine and Imaging 287
  • Otorhinolaryngology 29
  • Oncology 138
  • Immunology and Allergy 25
Replace Madeline Vazquez with:
Madeline Vazquez United States
MB Orringer United States
Todd S. Weiser United States
Yasuki Saito Japan
Stanislav Lazarev United States
Hidemi Ohwada Japan
Francine R. Dembitzer United States
Yoshihisa Shimada Japan
Pierre-Yves Brichon France
Helena Garcia Schüler Switzerland
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Eisuke Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eisuke Matsui, 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 Eisuke Matsui Line = papers co-authored together Eisuke Matsui 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 2002329
2 2004131
3 2001123
4 200071
5 200370
6 199529
7 199924
8 200520
9 199718
10
Efficacy of the slow dose-up method for specific oral tolerance induction in children with cow's milk allergy: comparison with reported protocols.
201015
11 199914
12 200014
13 199912
14 199812
15 200111
16 200410
17 20098
18 20088
19 20025
20
[A case of clinical Reye syndrome with symmetrical abnormal signal areas in the pons and thalami by MRI].
19944

About Eisuke Matsui

Eisuke Matsui is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Physiology and Molecular Biology, having authored 35 papers that have together received 949 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (8 papers), Tracheal and airway disorders (5 papers), Lung Cancer Treatments and Mutations (4 papers), Asthma and respiratory diseases (3 papers), Immune Cell Function and Interaction (3 papers) and Tumors and Oncological Cases (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (701 citations), Radiology, Nuclear Medicine and Imaging (287 citations), Otorhinolaryngology (29 citations), Oncology (138 citations) and Immunology and Allergy (25 citations). Eisuke Matsui has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hironobu Ohmatsu, Masahiko Kusumoto, Masahiro Kaneko, Ryutaro Kakinuma, Noriyuki Moriyama, Hiroyuki Nishiyama, Kenji Eguchi, Ryosuke Tsuchiya, Kanji Nagai and Tomotaka Sobue. Their work appears in journals such as Cancer, Journal of Clinical Oncology, Lung Cancer, Clinical & Experimental Allergy and Clinical & Experimental Immunology.

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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