Ryo Maeda
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- Lung Cancer Diagnosis and Treatment 25
- Lung Cancer Treatments and Mutations 20
- Medical Imaging and Pathology Studies 12
- Oncology top 5%
- Lung Cancer Research Studies 7
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- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Nephrology top 10%
- Renal Diseases and Glomerulopathies 11
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- Myasthenia Gravis and Thymoma 10
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- Trauma Management and Diagnosis 6
- Co-authors
- Kanji NagaiMitsuyo NishimuraJunji YoshidaTomoyuki HishidaGenichiro IshiiChikako ItoNoritaka IsowaHideo Sasaki
- Journals
- Journal of Thoracic Oncology (6 papers)Interactive Cardiovascular and Thoracic Surgery (6 papers)CHEST Journal (6 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ryo Maeda
121 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 123
- Pulmonary and Respiratory Medicine 804
- Oncology 465
- Endocrinology, Diabetes and Metabolism 190
- Nephrology 75
- Radiology, Nuclear Medicine and Imaging 222
Countries citing papers authored by Ryo Maeda
This map shows the geographic impact of Ryo Maeda'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 Ryo Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Maeda more than expected).
Fields of papers citing papers by Ryo Maeda
This network shows the impact of papers produced by Ryo Maeda. 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 Ryo Maeda. The network helps show where Ryo Maeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ryo Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 4 | |
| 7 | 2019 | 4 | |
| 8 | 2018 | 39 | |
| 9 | 2017 | 0 | |
| 10 | 2017 | 12 | |
| 11 | 2011 | 27 | |
| 12 | Aortic Pulse Wave Velocity Predicts Cardiovascular Mortality in Middle-Aged and Elderly Japanese Men(Vascular Medicine) | 2009 | 8 |
| 13 | 2009 | 1 | |
| 14 | 2009 | 23 | |
| 15 | 2009 | 24 | |
| 16 | 2009 | 9 | |
| 17 | 2008 | 4 | |
| 18 | 2007 | 1 | |
| 19 | 2004 | 1 | |
| 20 | 1993 | 8 |
About Ryo Maeda
Ryo Maeda is a scholar working on Pulmonary and Respiratory Medicine, Nephrology, Endocrinology, Diabetes and Metabolism, Internal Medicine and Oncology, having authored 137 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (25 papers), Lung Cancer Treatments and Mutations (20 papers), Medical Imaging and Pathology Studies (12 papers), Renal Diseases and Glomerulopathies (11 papers), Myasthenia Gravis and Thymoma (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Lung Cancer Research Studies (7 papers) and Trauma Management and Diagnosis (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (804 citations), Oncology (465 citations), Endocrinology, Diabetes and Metabolism (190 citations), Nephrology (75 citations) and Radiology, Nuclear Medicine and Imaging (222 citations). Ryo Maeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kanji Nagai, Mitsuyo Nishimura, Junji Yoshida, Tomoyuki Hishida, Genichiro Ishii, Genichiro Ishii, Chikako Ito, Noritaka Isowa, Hideo Sasaki and Yasushi Takagi. Their work appears in journals such as Journal of Thoracic Oncology, Interactive Cardiovascular and Thoracic Surgery, CHEST Journal, Diabetes Research and Clinical Practice and World Journal of Oncology.
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.