Ken Okai
Impact in
- Hepatology top 5%
- Liver Diseases and Immunity
- Liver Disease and Transplantation
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 26
- Liver Diseases and Immunity 15
- Liver Disease and Transplantation 8
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Hepatitis C virus research 3
- Epidemiology 21
- Liver Disease Diagnosis and Treatment 19
- Hepatitis B Virus Studies 2
- Co-authors
- Hiromasa Ohira (35 shared papers)Atsushi Takahashi (32 shared papers)Kazumichi Abe (32 shared papers)Manabu Hayashi (27 shared papers)Masashi Fujita (13 shared papers)Hiromichi Imaizumi (13 shared papers)Yukiko Kanno (15 shared papers)Hiroshi Watanabe (2 shared papers)
In The Last Decade
Ken Okai
38 papers receiving 539 citations
Peers
Comparison fields: 5 of 73
- Hepatology 253
- Epidemiology 285
- Rheumatology 82
- Periodontics 22
- Physiology 117
Countries citing papers authored by Ken Okai
This map shows the geographic impact of Ken Okai'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 Ken Okai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Okai more than expected).
Fields of papers citing papers by Ken Okai
This network shows the impact of papers produced by Ken Okai. 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 Ken Okai. The network helps show where Ken Okai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Okai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2013 | 57 | |
| 3 | 2019 | 41 | |
| 4 | 2015 | 40 | |
| 5 | 2018 | 33 | |
| 6 | 2017 | 31 | |
| 7 | 2012 | 30 | |
| 8 | 2016 | 28 | |
| 9 | 2020 | 24 | |
| 10 | 2019 | 18 | |
| 11 | 2017 | 14 | |
| 12 | 2018 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2018 | 10 | |
| 15 | 2014 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 1989 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2017 | 6 |
About Ken Okai
Ken Okai is a scholar working on Hepatology, Epidemiology, Surgery, Rheumatology and Genetics, having authored 39 papers that have together received 547 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (19 papers), Liver Diseases and Immunity (15 papers), Liver Disease and Transplantation (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Diabetes and associated disorders (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Hepatitis C virus research (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hepatology (253 citations), Epidemiology (285 citations), Rheumatology (82 citations), Periodontics (22 citations) and Physiology (117 citations). Ken Okai has collaborated with scholars based in Japan and China. Frequent co-authors include Hiromasa Ohira, Atsushi Takahashi, Kazumichi Abe, Manabu Hayashi, Masashi Fujita, Hiromichi Imaizumi, Yukiko Kanno, Hiroshi Watanabe, Kyoko Monoe and Hironobu Saito. Their work appears in journals such as Hepatology Research, PLoS ONE, Medical Molecular Morphology, SpringerPlus and Medicine.
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.