Makoto Nonaka
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Surgery
- Molecular Biology
- Co-authors
- Tomio TadaKo OkumuraT TokuhisaMitsutaka KadokuraBruce L. ZurawDavid H. KatzToshihiro TakabaDaisuke Kataoka
- Topics
- T-cell and B-cell Immunology (11 papers)Lung Cancer Diagnosis and Treatment (9 papers)Tracheal and airway disorders (8 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Makoto Nonaka
70 papers receiving 710 citations
Peers
Comparison fields: 5 of 107
- Immunology 367
- Radiology, Nuclear Medicine and Imaging 198
- Pulmonary and Respiratory Medicine 148
- Surgery 104
- Molecular Biology 88
Countries citing papers authored by Makoto Nonaka
This map shows the geographic impact of Makoto Nonaka'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 Makoto Nonaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Nonaka more than expected).
Fields of papers citing papers by Makoto Nonaka
This network shows the impact of papers produced by Makoto Nonaka. 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 Makoto Nonaka. The network helps show where Makoto Nonaka may publish in the future.
Co-authorship network of co-authors of Makoto Nonaka
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Nonaka. A scholar is included among the top collaborators of Makoto Nonaka 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 Makoto Nonaka. Makoto Nonaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Descending necrotizing mediastinitis: its early detection and acceptable approach | 1 |
| 2 | 4 | |
| 3 | Resection of thymic carcinoma in a patient with thoracic aortic aneurysm. | 2 |
| 4 | 0 | |
| 5 | 26 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | Role of Magnesium and Ischemic-Preconditioning on Ischemia-Reperfusion Injury in the Rabbit Lung | 1 |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 31 | |
| 16 | 38 | |
| 17 | 254 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 8 |
About Makoto Nonaka
Makoto Nonaka is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Immunology, having authored 77 papers that have together received 831 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Tracheal and airway disorders (8 papers). The work is most often cited by research in Immunology (367 citations), Radiology, Nuclear Medicine and Imaging (198 citations) and Ceramics and Composites (34 citations). Makoto Nonaka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tomio Tada, Ko Okumura, T Tokuhisa, Mitsutaka Kadokura, Bruce L. Zuraw, David H. Katz, Toshihiro Takaba, Daisuke Kataoka, Shigeru Yamamoto and D H Katz. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Acta Materialia.
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.