Kazuhiro Hayashida
- Immunology top 5%
- Molecular Biology
- Oncology top 10%
- Epidemiology
- Hepatology top 5%
- Co-authors
- Atsushi MiyajimaTakashi YokotaToshio KitamuraD M GormanK. AraiHiromi IshibashiKazuhiro SakamakiKatsuhiro Arai
- Topics
- Liver Disease Diagnosis and Treatment (11 papers)Hepatitis C virus research (7 papers)Liver Diseases and Immunity (6 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Kazuhiro Hayashida
43 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Immunology 725
- Molecular Biology 367
- Oncology 336
- Epidemiology 196
- Hepatology 178
Countries citing papers authored by Kazuhiro Hayashida
This map shows the geographic impact of Kazuhiro Hayashida'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 Hayashida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Hayashida more than expected).
Fields of papers citing papers by Kazuhiro Hayashida
This network shows the impact of papers produced by Kazuhiro Hayashida. 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 Hayashida. The network helps show where Kazuhiro Hayashida may publish in the future.
Co-authorship network of co-authors of Kazuhiro Hayashida
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Hayashida. A scholar is included among the top collaborators of Kazuhiro Hayashida 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 Hayashida. Kazuhiro Hayashida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The incidence and risk factors for the development of hepatocellular carcinoma after peginterferon plus ribavirin therapy for chronic hepatitis C. | 12 |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 24 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | 25 | |
| 8 | 15 | |
| 9 | 26 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | Aneurysmal Intraheptic Portosystemic Venous Shunt Associated with Idiopathic Portal Hypertension : A Lesion Evaluated by a 3 D Image Reconstructed from Power Doppler Flow Imaging | 2 |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 23 | |
| 16 | 25 | |
| 17 | 24 | |
| 18 | 6 | |
| 19 | Molecular cloning of a second subunit of the receptor for human granulocyte-macrophage colony-stimulating factor (GM-CSF): reconstitution of a high-affinity GM-CSF receptor.breakdown → | 572 |
| 20 | 30 |
About Kazuhiro Hayashida
Kazuhiro Hayashida is a scholar working on Hepatology, Microbiology and Rheumatology, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Hepatitis C virus research (7 papers) and Liver Diseases and Immunity (6 papers). The work is most often cited by research in Immunology (725 citations), Hepatology (178 citations) and Immunology and Allergy (125 citations). Kazuhiro Hayashida has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Atsushi Miyajima, Takashi Yokota, Toshio Kitamura, D M Gorman, K. Arai, Hiromi Ishibashi, Kazuhiro Sakamaki, Katsuhiro Arai, Yoshiyuki Niho and Yoshiyuki Sakaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.
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.