Katsuya Maruyama
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Epidemiology top 5%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Isao OkazakiHiroaki MatsubaraYasukiyo MoriSatoshi MurasawaMitsuo InadaToshiji IwasakaAkira YokoyamaSusumu Higuchi
- Topics
- Alcohol Consumption and Health Effects (43 papers)Liver Disease Diagnosis and Treatment (41 papers)Advanced MRI Techniques and Applications (28 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Katsuya Maruyama
186 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.4k
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 1.0k
- Epidemiology 920
- Pathology and Forensic Medicine 770
Countries citing papers authored by Katsuya Maruyama
This map shows the geographic impact of Katsuya 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 Katsuya Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuya Maruyama more than expected).
Fields of papers citing papers by Katsuya Maruyama
This network shows the impact of papers produced by Katsuya 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 Katsuya Maruyama. The network helps show where Katsuya Maruyama may publish in the future.
Co-authorship network of co-authors of Katsuya Maruyama
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuya Maruyama. A scholar is included among the top collaborators of Katsuya 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 Katsuya Maruyama. Katsuya 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | Endoscopic screening for upper aerodigestive tract cancer in alcoholics using wide visualization of the pharynx and esophageal iodine staining procedures | 3 |
| 13 | 19 | |
| 14 | Comparison of free-glycerol to 5.9kD peptide as a serum biomarker of excessive alcohol intake | 1 |
| 15 | 3 | |
| 16 | 36 | |
| 17 | 24 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 3 |
About Katsuya Maruyama
Katsuya Maruyama is a scholar working on Pathology and Forensic Medicine, Hepatology and Endocrinology, Diabetes and Metabolism, having authored 190 papers that have together received 4.9k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (43 papers), Liver Disease Diagnosis and Treatment (41 papers) and Advanced MRI Techniques and Applications (28 papers). The work is most often cited by research in Hepatology (532 citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Endocrinology, Diabetes and Metabolism (719 citations). Katsuya Maruyama has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Isao Okazaki, Hiroaki Matsubara, Yasukiyo Mori, Satoshi Murasawa, Mitsuo Inada, Toshiji Iwasaka, Akira Yokoyama, Susumu Higuchi, Akira Yokoyama and Hiroya Masaki. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.