K. Yasui
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Software top 10%
Papers in
-
- Brain Metastases and Treatment 3
- Oncology 11
- Co-authors
- Junko Kimura‐Kuroda (3 shared papers)Toshio Nakagawa (14 shared papers)Kazuhiro Nakaso (2 shared papers)Takao Takeshima (1 shared paper)Kenji Nakashima (1 shared paper)Hisanori Kowa (1 shared paper)K Nagashima (2 shared papers)Sándor Györke (1 shared paper)
- Journals
- Mathematical and Computer Modelling (5 papers)Annals of Oncology (3 papers)IEEE Transactions on Reliability (3 papers)Reliability Engineering & System Safety (2 papers)Investigational New Drugs (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
K. Yasui
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Hepatology 136
- Software 54
- Safety, Risk, Reliability and Quality 99
- Virology 47
- Infectious Diseases 180
Countries citing papers authored by K. Yasui
This map shows the geographic impact of K. Yasui'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 K. Yasui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Yasui more than expected).
Fields of papers citing papers by K. Yasui
This network shows the impact of papers produced by K. Yasui. 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 K. Yasui. The network helps show where K. Yasui may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Yasui, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 148 | |
| 2 | 2000 | 116 | |
| 3 | 2016 | 110 | |
| 4 | 1986 | 79 | |
| 5 | 2010 | 54 | |
| 6 | Induction of brain tumors by a newly isolated JC virus (Tokyo-1 strain). | 1984 | 51 |
| 7 | 1996 | 48 | |
| 8 | 1998 | 45 | |
| 9 | 1994 | 41 | |
| 10 | 1991 | 41 | |
| 11 | 1994 | 35 | |
| 12 | 1980 | 35 | |
| 13 | 2013 | 34 | |
| 14 | 1996 | 27 | |
| 15 | 2020 | 25 | |
| 16 | 2010 | 24 | |
| 17 | 1985 | 24 | |
| 18 | 2009 | 22 | |
| 19 | 2020 | 19 | |
| 20 | 1989 | 18 |
About K. Yasui
K. Yasui is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Surgery and Safety, Risk, Reliability and Quality, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (8 papers), Software Reliability and Analysis Research (6 papers), Liver Disease Diagnosis and Treatment (3 papers), Mosquito-borne diseases and control (3 papers), Brain Metastases and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (136 citations), Software (54 citations), Safety, Risk, Reliability and Quality (99 citations), Virology (47 citations) and Infectious Diseases (180 citations). K. Yasui has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Junko Kimura‐Kuroda, Toshio Nakagawa, Kazuhiro Nakaso, Takao Takeshima, Kenji Nakashima, Hisanori Kowa, K Nagashima, Sándor Györke, Philip Palade and Yuji Nagayama. Their work appears in journals such as Mathematical and Computer Modelling, Annals of Oncology, IEEE Transactions on Reliability, Reliability Engineering & System Safety and Investigational New Drugs.
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.