Akira Masaoka
- Neurology top 0.1%
- Surgery top 2%
- Epidemiology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Yasumasa MondenKazuya NakaharaTsuneo TaniokaHikaru MatsudaMitsunori OhtaYoshitaka FujiiHiroshi NiwaTadaaki Eimoto
- Topics
- Myasthenia Gravis and Thymoma (63 papers)Pituitary Gland Disorders and Treatments (23 papers)Tracheal and airway disorders (20 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Akira Masaoka
165 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Neurology 3.7k
- Surgery 1.8k
- Epidemiology 1.6k
- Endocrinology, Diabetes and Metabolism 1.4k
- Pulmonary and Respiratory Medicine 828
Countries citing papers authored by Akira Masaoka
This map shows the geographic impact of Akira Masaoka'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 Akira Masaoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Masaoka more than expected).
Fields of papers citing papers by Akira Masaoka
This network shows the impact of papers produced by Akira Masaoka. 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 Akira Masaoka. The network helps show where Akira Masaoka may publish in the future.
Co-authorship network of co-authors of Akira Masaoka
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Masaoka. A scholar is included among the top collaborators of Akira Masaoka 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 Akira Masaoka. Akira Masaoka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | A predictive model for radiation-induced hypothyroidism after IMRT or VMAT for head and neck squamous cell carcinoma | 0 |
| 3 | 165 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 33 | |
| 11 | 5 | |
| 12 | 0 | |
| 13 | 14 | |
| 14 | [Early diagnosis of acute mesenteric artery occlusion--clinical and experimental study]. | 1 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 82 | |
| 19 | [Intrathoracic pheochromocytoma (author's transl)]. | 1 |
| 20 | 1 |
About Akira Masaoka
Akira Masaoka is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Radiation, having authored 186 papers that have together received 5.0k indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (63 papers), Pituitary Gland Disorders and Treatments (23 papers) and Tracheal and airway disorders (20 papers). The work is most often cited by research in Neurology (3.7k citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Epidemiology (1.6k citations). Akira Masaoka has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yasumasa Monden, Kazuya Nakahara, Tsuneo Tanioka, Hikaru Matsuda, Mitsunori Ohta, Yoshitaka Fujii, Hiroshi Niwa, Tadaaki Eimoto, Yosuke Yamakawa and Shinichiro Miyoshi. Their work appears in journals such as Nucleic Acids Research, Neurology and Cancer.
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.