Masao Edagawa
- Co-authors
- Yasunori MatsuzakiToshio OnitsukaTetsuya ShimizuMasaki HaraMasaki TomitaMasayuki MaedaTakanori AyabeRyo Sekiya
- Topics
- Myasthenia Gravis and Thymoma (4 papers)Pituitary Gland Disorders and Treatments (3 papers)Lung Cancer Treatments and Mutations (3 papers)
- Journals
- TransplantationJournal of Thoracic and Cardiovascular SurgeryThe Annals of Thoracic Surgery
- Partner nations
- Japan
In The Last Decade
Masao Edagawa
24 papers receiving 342 citations
Peers
Comparison fields: 5 of 58
- Pulmonary and Respiratory Medicine 152
- Oncology 91
- Neurology 84
- Surgery 67
- Molecular Biology 67
Countries citing papers authored by Masao Edagawa
This map shows the geographic impact of Masao Edagawa'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 Masao Edagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masao Edagawa more than expected).
Fields of papers citing papers by Masao Edagawa
This network shows the impact of papers produced by Masao Edagawa. 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 Masao Edagawa. The network helps show where Masao Edagawa may publish in the future.
Co-authorship network of co-authors of Masao Edagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Masao Edagawa. A scholar is included among the top collaborators of Masao Edagawa 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 Masao Edagawa. Masao Edagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Surgery for the thymoma combined with pure red cell aplasia and myasthenia gravis]. | 1 |
| 2 | 30 | |
| 3 | Prognostic significance of preoperative serum carcinoembryonic antigen level in lung adenocarcinoma but not squamous cell carcinoma. | 54 |
| 4 | [Bilateral lower lobectomies for pulmonary mucormycosis]. | 2 |
| 5 | Pulmonary granuloma possibly caused by staples after video-assisted thoracoscopic surgery. | 34 |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 9 | |
| 9 | 70 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 36 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 24 | |
| 17 | 10 | |
| 18 | A novel interventional therapy using the combination of bilateral bronchial stent dilatation and percutaneous cardiopulmonary support for critical airway obstruction due to metastatic carcinomatous carina. | 7 |
| 19 | 2 | |
| 20 | 4 |
About Masao Edagawa
Masao Edagawa is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Internal Medicine, having authored 24 papers that have together received 352 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (4 papers), Pituitary Gland Disorders and Treatments (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Neurology (84 citations), Pulmonary and Respiratory Medicine (152 citations) and Microbiology (3 citations). Masao Edagawa has collaborated with scholars based in Japan. Frequent co-authors include Yasunori Matsuzaki, Toshio Onitsuka, Tetsuya Shimizu, Masaki Hara, Masaki Tomita, Masayuki Maeda, Takanori Ayabe, Ryo Sekiya, Hironori Ninomiya and Minoru HAMADA. Their work appears in journals such as Transplantation, Journal of Thoracic and Cardiovascular Surgery 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.