Masaya Aoki

629 citations
75 papers · 370 · h-index 11

Impact in

Papers in

Masaya Aoki

58 papers receiving 365 citations

Peers

Masaya Aoki
Comparison fields: 5 of 42
  • Pulmonary and Respiratory Medicine 124
  • Cancer Research 42
  • Epidemiology 81
  • Radiology, Nuclear Medicine and Imaging 40
  • Oncology 44
Replace Francesca Torello Viera with:
Francesca Torello Viera Italy
Daniel J. Wale United States
Norihiko Takemoto Japan
Chiara Pozzessere Italy
Sherif Elsherif United States
Jean Paul de Vries Netherlands
Hideki Marushima Japan
Daisuke Takayanagi Japan
Paolo Regi Italy
Catherine N. Chinyama United Kingdom
Masaya Aoki relative to Francesca Torello Viera Italy Francesca Torello Viera's profile →
Citations per field
00.5×1.5×2.3×
Francesca Torello Viera · 1×
Citations per year

Countries citing papers authored by Masaya Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Masaya Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201933
2 201031
3 201925
4 201424
5 201722
6 201721
7 201918
8 202115
9 201513
10 201813
11 201812
12 201210
13 20248
14 20178
15 20208
16 20156
17 20165
18 20215
19
Mid-term echocardiographic comparison of chordal preservation method of mitral valve replacement in patients with mitral stenosis.
20135
20 20225

About Masaya Aoki

Masaya Aoki is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 75 papers that have together received 370 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (14 papers), Congenital Heart Disease Studies (7 papers), Tracheal and airway disorders (7 papers), Medical Imaging and Pathology Studies (6 papers), Pleural and Pulmonary Diseases (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cardiac Valve Diseases and Treatments (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (124 citations), Cancer Research (42 citations), Epidemiology (81 citations), Radiology, Nuclear Medicine and Imaging (40 citations) and Oncology (44 citations). Masaya Aoki has collaborated with scholars based in Japan, China and Germany. Frequent co-authors include Masami Sato, Toshiyuki Nagata, Masami Sato, Takashi Yoshiura, Megumi Jinguji, Masatoyo Nakajo, Atsushi Tani, Kazuaki Fukahara, Akio Yamashita and Naoki Yoshimura. Their work appears in journals such as Surgery Today, European Journal of Cardio-Thoracic Surgery, Journal of Anatomy, Scientific Reports and Translational Lung Cancer Research.

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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