Shoji Katsuda
- Surgery
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Cancer Research
- Co-authors
- Masa‐aki KawashiriAkihiro InazuJunji KobayashiHiroshi MabuchiAtsushi NoharaJunji KoizumiToshinori HigashikataMihoko Mizuno
- Topics
- Cardiac Arrhythmias and Treatments (4 papers)Lipoproteins and Cardiovascular Health (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismArteriosclerosis Thrombosis and Vascular BiologyClinical Pharmacology & Therapeutics
- Partner nations
- JapanGreeceNetherlands
In The Last Decade
Shoji Katsuda
21 papers receiving 459 citations
Peers
Comparison fields: 5 of 57
- Surgery 245
- Molecular Biology 157
- Endocrinology, Diabetes and Metabolism 129
- Cardiology and Cardiovascular Medicine 110
- Cancer Research 70
Countries citing papers authored by Shoji Katsuda
This map shows the geographic impact of Shoji Katsuda'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 Shoji Katsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoji Katsuda more than expected).
Fields of papers citing papers by Shoji Katsuda
This network shows the impact of papers produced by Shoji Katsuda. 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 Shoji Katsuda. The network helps show where Shoji Katsuda may publish in the future.
Co-authorship network of co-authors of Shoji Katsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Shoji Katsuda. A scholar is included among the top collaborators of Shoji Katsuda 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 Shoji Katsuda. Shoji Katsuda 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 | 6 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | A case of pacing failure due to pilsicainide toxicityin which pacing thresholds between right atrium and right ventricle were much different | 1 |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 53 | |
| 9 | 8 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 77 | |
| 13 | 32 | |
| 14 | 18 | |
| 15 | 14 | |
| 16 | 97 | |
| 17 | 30 | |
| 18 | 38 | |
| 19 | 39 | |
| 20 | 16 |
About Shoji Katsuda
Shoji Katsuda is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 21 papers that have together received 466 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (129 citations), Surgery (245 citations) and Biochemistry (31 citations). Shoji Katsuda has collaborated with scholars based in Japan, Greece and Netherlands. Frequent co-authors include Masa‐aki Kawashiri, Akihiro Inazu, Junji Kobayashi, Hiroshi Mabuchi, Atsushi Nohara, Junji Koizumi, Toshinori Higashikata, Mihoko Mizuno, Kenji Miwa and Masakazu Yamagishi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Arteriosclerosis Thrombosis and Vascular Biology and Clinical Pharmacology & Therapeutics.
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.