Kazuhiro Katayama
- Hepatology top 0.5%
- Epidemiology top 5%
- Molecular Biology
- Immunology
- Rheumatology top 10%
- Co-authors
- Norio HayashiAkinori KasaharaHideyuki FusamotoTakenobu KamadaNaoki HiramatsuKiyoshi MochizukiHideki HagiwaraMasahide Oshita
- Topics
- Hepatitis C virus research (25 papers)Liver Disease Diagnosis and Treatment (22 papers)Hepatocellular Carcinoma Treatment and Prognosis (15 papers)
- Cited by
- HepatologyEpidemiologyRheumatology
- Partner nations
- JapanSwitzerlandSouth Korea
In The Last Decade
Kazuhiro Katayama
52 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 72
- Hepatology 1.1k
- Epidemiology 959
- Molecular Biology 221
- Immunology 163
- Rheumatology 158
Countries citing papers authored by Kazuhiro Katayama
This map shows the geographic impact of Kazuhiro 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 Kazuhiro Katayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Katayama more than expected).
Fields of papers citing papers by Kazuhiro Katayama
This network shows the impact of papers produced by Kazuhiro 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 Kazuhiro Katayama. The network helps show where Kazuhiro Katayama may publish in the future.
Co-authorship network of co-authors of Kazuhiro Katayama
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Katayama. A scholar is included among the top collaborators of Kazuhiro 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 Kazuhiro Katayama. Kazuhiro 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 | 40 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 118 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 53 | |
| 13 | 16 | |
| 14 | 13 | |
| 15 | 5 | |
| 16 | 47 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | STUDIES ON THE MONO-EXPONENTIAL NATURE OF THE LEFT VENTRICULAR PRESSURE FALL DURING ISOVOLUMIC RELAXATION PERIOD IN THE DISEASED HEART : Ventricular Function : 46th Annual Scientific Meeting, Japanese Circulation Society | 1 |
About Kazuhiro Katayama
Kazuhiro Katayama is a scholar working on Hepatology, Epidemiology and Rheumatology, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (25 papers), Liver Disease Diagnosis and Treatment (22 papers) and Hepatocellular Carcinoma Treatment and Prognosis (15 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (959 citations) and Rheumatology (158 citations). Kazuhiro Katayama has collaborated with scholars based in Japan, Switzerland and South Korea. Frequent co-authors include Norio Hayashi, Akinori Kasahara, Hideyuki Fusamoto, Takenobu Kamada, Naoki Hiramatsu, Kiyoshi Mochizuki, Hideki Hagiwara, Masahide Oshita, Harumasa Yoshihara and Michio Kato. Their work appears in journals such as Journal of Clinical Oncology, Annals of Internal Medicine and Gastroenterology.
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.