Yoshihiko Yano
- Hepatology top 1%
- Hepatitis C virus research 62
- Hepatocellular Carcinoma Treatment and Prognosis 29
- Liver Disease and Transplantation 13
- Hepatitis Viruses Studies and Epidemiology 7
- Liver Diseases and Immunity 6
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment 79
- Hepatitis B Virus Studies 59
- Physiology top 10%
- Infectious Diseases top 10%
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- Pancreatic and Hepatic Oncology Research 7
- Co-authors
- Yoshitake HayashiTakako UtsumiYasushi SeoTakeshi AzumaMaria Inge LusidaSoetjipto SoetjiptoHak HottaMasaru Yoshida
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)
- Partner nations
- JapanIndonesiaUnited States
In The Last Decade
Yoshihiko Yano
142 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 102
- Hepatology 897
- Epidemiology 1.0k
- Endocrinology, Diabetes and Metabolism 155
- Physiology 34
- Infectious Diseases 135
Countries citing papers authored by Yoshihiko Yano
This map shows the geographic impact of Yoshihiko Yano'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 Yoshihiko Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshihiko Yano more than expected).
Fields of papers citing papers by Yoshihiko Yano
This network shows the impact of papers produced by Yoshihiko Yano. 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 Yoshihiko Yano. The network helps show where Yoshihiko Yano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoshihiko Yano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 3 | |
| 8 | 2020 | 12 | |
| 9 | 2017 | 13 | |
| 10 | PREVALENCE AND RISK FACTORS OF HEPATITIS B AND C VIRUS INFECTIONS AMONG HEMODIALYSISPATIENTS FROM PRIVATE HEMODIALYSIS UNITS IN SURABAYA, INDONESIA. | 2016 | 2 |
| 11 | 2016 | 6 | |
| 12 | 2016 | 3 | |
| 13 | Do Soluble Vascular Endothelial Growth Factor and Its Receptors Predict the Progression of Chronic Hepatitis to Hepatocellular Carcinoma | 2015 | 1 |
| 14 | 2013 | 25 | |
| 15 | 2013 | 14 | |
| 16 | 2013 | 13 | |
| 17 | 2010 | 2 | |
| 18 | 2008 | 7 | |
| 19 | 2005 | 12 | |
| 20 | 2001 | 26 |
About Yoshihiko Yano
Yoshihiko Yano is a scholar working on Hepatology, Epidemiology and Oncology, having authored 152 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (79 papers), Hepatitis C virus research (62 papers), Hepatitis B Virus Studies (59 papers), Hepatocellular Carcinoma Treatment and Prognosis (29 papers), Liver Disease and Transplantation (13 papers), Pancreatic and Hepatic Oncology Research (7 papers), Hepatitis Viruses Studies and Epidemiology (7 papers) and Liver Diseases and Immunity (6 papers). The work is most often cited by research in Hepatology (897 citations), Epidemiology (1.0k citations) and Endocrinology, Diabetes and Metabolism (155 citations). Yoshihiko Yano has collaborated with scholars based in Japan, Indonesia and United States. Frequent co-authors include Yoshitake Hayashi, Takako Utsumi, Yasushi Seo, Takeshi Azuma, Maria Inge Lusida, Soetjipto Soetjipto, Hak Hotta, Masaru Yoshida, Masato Kasuga and Masaya Saito. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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.