Yukio Kan-on

695 total citations
21 papers, 553 citations indexed

About

Yukio Kan-on is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Applied Mathematics. According to data from OpenAlex, Yukio Kan-on has authored 21 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Public Health, Environmental and Occupational Health, 11 papers in Modeling and Simulation and 8 papers in Applied Mathematics. Recurrent topics in Yukio Kan-on's work include Mathematical and Theoretical Epidemiology and Ecology Models (19 papers), Mathematical Biology Tumor Growth (9 papers) and Nonlinear Differential Equations Analysis (7 papers). Yukio Kan-on is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (19 papers), Mathematical Biology Tumor Growth (9 papers) and Nonlinear Differential Equations Analysis (7 papers). Yukio Kan-on collaborates with scholars based in Japan. Yukio Kan-on's co-authors include Masayasu Mimura, Qing Fang, Eiji Yanagida and Kimiaki Narukawa and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Nonlinear Analysis and International Journal of Bifurcation and Chaos.

In The Last Decade

Yukio Kan-on

20 papers receiving 490 citations

Peers

Yukio Kan-on
Comparison fields: 5 of 35
  • Public Health, Environmental and Occupational Health 485
  • Genetics 266
  • Modeling and Simulation 206
  • Computer Networks and Communications 129
  • Applied Mathematics 121
Replace Yuzo Hosono with:
Yuzo Hosono Japan
Wenjie Zuo China
Zhengyi Lu China
Yaping Wu China
Kimun Ryu South Korea
Yong-Hong Fan China
Wonlyul Ko South Korea
Thomas Giletti France
Antonio Tineo Venezuela
Yuzo Hosono Japan View profile →
Citations per field, relative to Yukio Kan-on
Yukio Kan-on · 1×
Citations per year, relative to Yukio Kan-on
Yukio Kan-on · 1×

Countries citing papers authored by Yukio Kan-on

Since Specialization
Citations

This map shows the geographic impact of Yukio Kan-on'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 Yukio Kan-on with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukio Kan-on more than expected).

Fields of papers citing papers by Yukio Kan-on

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yukio Kan-on. 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 Yukio Kan-on. The network helps show where Yukio Kan-on may publish in the future.

Co-authorship network of co-authors of Yukio Kan-on

This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Kan-on. A scholar is included among the top collaborators of Yukio Kan-on 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 Yukio Kan-on. Yukio Kan-on is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 5
4 2
5 1
6 2
7 4
8 6
9 25
10 5
11 69
12 3
13 13
14 106
15 33
16 46
17 127
18 44
19 46
20 9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026