Masateru Katayama
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Endocrine and Autonomic Systems top 10%
- Surgery
- Immunology
- Co-authors
- Haruo NogamiKoki KawamuraShuzo KobayashiIwao NakabayashiJunichiro NishiyamaSoichiro MiuraSetsuji HisanoToshio Harigaya
- Topics
- Intracranial Aneurysms: Treatment and Complications (7 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)Aortic Disease and Treatment Approaches (3 papers)
- Cited by
- Endocrine and Autonomic SystemsEndocrinology, Diabetes and MetabolismNutrition and Dietetics
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Masateru Katayama
18 papers receiving 331 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 94
- Endocrinology, Diabetes and Metabolism 85
- Endocrine and Autonomic Systems 75
- Surgery 65
- Immunology 64
Countries citing papers authored by Masateru Katayama
This map shows the geographic impact of Masateru Katayama'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 Masateru Katayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masateru Katayama more than expected).
Fields of papers citing papers by Masateru Katayama
This network shows the impact of papers produced by Masateru Katayama. 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 Masateru Katayama. The network helps show where Masateru Katayama may publish in the future.
Co-authorship network of co-authors of Masateru Katayama
This figure shows the co-authorship network connecting the top 25 collaborators of Masateru Katayama. A scholar is included among the top collaborators of Masateru Katayama 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 Masateru Katayama. Masateru Katayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 24 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 32 | |
| 15 | 20 | |
| 16 | 67 | |
| 17 | 85 | |
| 18 | 17 | |
| 19 | 39 | |
| 20 | 6 |
About Masateru Katayama
Masateru Katayama is a scholar working on Neurology, Speech and Hearing and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 339 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (7 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Aortic Disease and Treatment Approaches (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (75 citations), Endocrinology, Diabetes and Metabolism (85 citations) and Nutrition and Dietetics (56 citations). Masateru Katayama has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Haruo Nogami, Koki Kawamura, Shuzo Kobayashi, Iwao Nakabayashi, Junichiro Nishiyama, Soichiro Miura, Setsuji Hisano, Toshio Harigaya, Maki Matsubara and Sadao Suga. Their work appears in journals such as International Journal of Molecular Sciences, Endocrinology and American Journal Of Pathology.
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.