Akira Masaoka

7.0k citations
186 papers · 5.0k indexed · 1 hit paper · h-index 30

Akira Masaoka

165 papers receiving 4.8k citations

Hit Papers

Follow-up study of thymomas with special reference to the...1.3k19812026199620114008001.2k

Peers

Akira Masaoka
Comparison fields: 5 of 106
  • Neurology 3.7k
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Epidemiology 1.6k
  • Surgery 1.8k
  • Pulmonary and Respiratory Medicine 828
Replace Vittoria Rufini with:
Vittoria Rufini Italy
Michael Gabriel Austria
Mitsunori Ohta Japan
H.Y. Oei Netherlands
Alfredo Mussi Italy
Kazuya Nakahara Japan
Norman W. Thompson United States
Benny Weksler United States
Jarosław B. Ćwikła Poland
Motoki Yano Japan
Akira Masaoka relative to Vittoria Rufini Italy Vittoria Rufini's profile →
Citations per field
00.5×3.6×
Vittoria Rufini · 1×
Citations per year

Countries citing papers authored by Akira Masaoka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20192
2
A predictive model for radiation-induced hypothyroidism after IMRT or VMAT for head and neck squamous cell carcinoma
20160
3 2010165
4 200121
5 19975
6 19960
7 199511
8 19941
9 19945
10 199333
11 19935
12 19930
13 199314
14
[Early diagnosis of acute mesenteric artery occlusion--clinical and experimental study].
19911
15
19851
16 19851
17
19832
18 197982
19
[Intrathoracic pheochromocytoma (author's transl)].
19781
20 19781

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), Tracheal and airway disorders (20 papers), Advanced Radiotherapy Techniques (15 papers), Salivary Gland Tumors Diagnosis and Treatment (14 papers), Lung Cancer Diagnosis and Treatment (12 papers), Meningioma and schwannoma management (10 papers) and Neuroblastoma Research and Treatments (9 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.

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