Masayuki Maruyama
- Endocrinology, Diabetes and Metabolism top 10%
- Dermatology top 5%
- Molecular Biology
- Rheumatology
- Surgery
- Co-authors
- Yasushi KuraishiNobuo KatsubeTsugunobu AndohJane SandersYasuo OdaBernard Rees SmithMaiko FujimoriKazuhiko Asanuma
- Topics
- Thyroid Cancer Diagnosis and Treatment (10 papers)Thyroid Disorders and Treatments (7 papers)Glycosylation and Glycoproteins Research (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismJournal of Investigative DermatologyCancer Letters
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Masayuki Maruyama
22 papers receiving 296 citations
Peers
Comparison fields: 5 of 59
- Endocrinology, Diabetes and Metabolism 134
- Dermatology 91
- Molecular Biology 65
- Rheumatology 59
- Surgery 47
Countries citing papers authored by Masayuki Maruyama
This map shows the geographic impact of Masayuki Maruyama'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 Masayuki Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Maruyama more than expected).
Fields of papers citing papers by Masayuki Maruyama
This network shows the impact of papers produced by Masayuki Maruyama. 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 Masayuki Maruyama. The network helps show where Masayuki Maruyama may publish in the future.
Co-authorship network of co-authors of Masayuki Maruyama
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Maruyama. A scholar is included among the top collaborators of Masayuki Maruyama 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 Masayuki Maruyama. Masayuki Maruyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 11 | |
| 4 | Discrimination of thyroglobulin from thyroid carcinoma tissue and that from benign thyroid tissues with use of competitive assay between lectin and anti-thyroglobulin antibody. | 2 |
| 5 | 4 | |
| 6 | 115 | |
| 7 | 23 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 24 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 36 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 21 |
About Masayuki Maruyama
Masayuki Maruyama is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Internal Medicine, having authored 22 papers that have together received 310 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (10 papers), Thyroid Disorders and Treatments (7 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Dermatology (91 citations), Endocrinology, Diabetes and Metabolism (134 citations) and Immunology and Allergy (33 citations). Masayuki Maruyama has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yasushi Kuraishi, Nobuo Katsube, Tsugunobu Andoh, Jane Sanders, Yasuo Oda, Bernard Rees Smith, Maiko Fujimori, Kazuhiko Asanuma, Ryoji Kato and Jadwiga Furmaniak. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Investigative Dermatology and Cancer Letters.
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.