K. Yasui

54 papers receiving 1.1k citations

Peers

K. Yasui
Comparison fields: 5 of 110
  • Hepatology 130
  • Software 54
  • Safety, Risk, Reliability and Quality 99
  • Virology 46
  • Infectious Diseases 171
Replace R. D. Barnes with:
R. D. Barnes United Kingdom
Henk‐Jan Schuurman Netherlands
Kenichi Takano Japan
Fernando Gómez Spain
Kailang Wu China
Thomas Lindner Germany
Marc De Bruyère Belgium
Hongyu Deng China
Yingjun Guo China
Eleni Giannoulatou Australia
K. Yasui relative to R. D. Barnes United Kingdom R. D. Barnes's profile →
Citations per field
00.5×10×20×30×40×49.5×
R. D. Barnes · 1×
Citations per year

Countries citing papers authored by K. Yasui

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with K. Yasui Line = papers co-authored together K. Yasui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983147
2 2000116
3 2016111
4 198679
5 201055
6
Induction of brain tumors by a newly isolated JC virus (Tokyo-1 strain).
198451
7 199648
8 199845
9 199441
10 199141
11 199435
12 201334
13 198034
14 199627
15 202025
16 198524
17 201024
18 200922
19 202019
20 199618

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 56 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), Statistical Distribution Estimation and Applications (3 papers), Brain Metastases and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Hepatology (130 citations), Software (54 citations), Safety, Risk, Reliability and Quality (99 citations), Virology (46 citations) and Infectious Diseases (171 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, Hisanori Kowa, Kenji Nakashima, K Nagashima, Sándor Györke, Philip Palade and Mika Shimamura. Their work appears in journals such as Mathematical and Computer Modelling, Annals of Oncology, IEEE Transactions on Reliability, Microelectronics Reliability 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.

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