Toshi Menju

2.9k citations
113 papers · 2.0k indexed · h-index 23

Impact in

Papers in

Toshi Menju

105 papers receiving 1.9k citations

Peers

Toshi Menju
Comparison fields: 5 of 94
  • Pulmonary and Respiratory Medicine 966
  • Cancer Research 386
  • Oncology 653
  • Genetics 124
  • Transplantation 30
Replace Hirofumi Uehara with:
Hirofumi Uehara Japan
Marie-Christine Étienne-Grimaldi France
W. Grigioni Italy
Celine Wilke United States
Martin Steins Germany
Yong Mee Cho South Korea
Jörg Nährig Germany
Lydia Nakopoulou Greece
V.A. Miller United States
Kazuhiko Shien Japan
Toshi Menju relative to Hirofumi Uehara Japan Hirofumi Uehara's profile →
Citations per field
00.5×1.5×
Hirofumi Uehara · 1×
Citations per year

Countries citing papers authored by Toshi Menju

Since Specialization
Citations

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

Fields of papers citing papers by Toshi Menju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20240
4 20245
5 20235
6 20231
7 20222
8 20229
9 20220
10 20227
11 20226
12 202113
13 20201
14 201922
15 201914
16 20181
17 201625
18 201139
19 2009260
20 20041

About Toshi Menju

Toshi Menju is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Microbiology, Cancer Research and Surgery, having authored 113 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (33 papers), Lung Cancer Treatments and Mutations (29 papers), Transplantation: Methods and Outcomes (17 papers), Lung Cancer Research Studies (15 papers), Tracheal and airway disorders (13 papers), Organ Transplantation Techniques and Outcomes (10 papers), Myasthenia Gravis and Thymoma (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (966 citations), Cancer Research (386 citations), Oncology (653 citations), Genetics (124 citations) and Transplantation (30 citations). Toshi Menju has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroshi Date, Makoto Sonobe, Akihiko Yoshizawa, Toshihiko Satō, Akihiro Aoyama, Masatsugu Hamaji, Toyofumi F. Chen‐Yoshikawa, Ryo Miyahara, Masashi Kobayashi and Ei Nakayama. Their work appears in journals such as Interactive Cardiovascular and Thoracic Surgery, Surgery Today, European Journal of Cardio-Thoracic Surgery, The Journal of Heart and Lung Transplantation and The Annals of Thoracic Surgery.

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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