Ken Abe

44 papers receiving 774 citations

Peers

Ken Abe
Comparison fields: 5 of 108
  • Sensory Systems 144
  • Cellular and Molecular Neuroscience 247
  • Applied Mathematics 121
  • Mathematical Physics 73
  • Physiology 31
Replace N. Yamaguchi with:
N. Yamaguchi Canada
Albert J. Getson United States
Paul G.A. Volders Netherlands
Atsuko Matsumura Japan
Wojciech M. Zajączkowski Poland
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Chaoran Wu China
Xingxing Zhu China
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Citations per year

Countries citing papers authored by Ken Abe

Since Specialization
Citations

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

Fields of papers citing papers by Ken Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Abe. 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 Abe. The network helps show where Ken Abe may publish in the future.

Co-authors

The 25 scholars most cited alongside Ken Abe, 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 Ken Abe Line = papers co-authored together Ken Abe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008205
2 2005122
3 201159
4 200541
5 200937
6 201336
7 200734
8 201028
9 201527
10 199823
11 201322
12 197719
13 202218
14 201316
15 200816
16 201510
17
APPLICATION OF DYE-DILUTION METHOD FOR CARDIOLOGY (Report III) ELECTROCARDIOGRAPHY AND CARDIAC OUTPUT AFTER EXERCISE IN PATIENTS WITH ISCHEMIC HEART DISEASE
19699
18 20088
19 20228
20 20167

About Ken Abe

Ken Abe is a scholar working on Applied Mathematics, Mathematical Physics, Computational Theory and Mathematics, Control and Systems Engineering and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 803 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (14 papers), Advanced Mathematical Modeling in Engineering (12 papers), Stability and Controllability of Differential Equations (8 papers), Neuropeptides and Animal Physiology (7 papers), Numerical methods in inverse problems (6 papers), Advanced Mathematical Physics Problems (6 papers), Nonlinear Partial Differential Equations (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Sensory Systems (144 citations), Cellular and Molecular Neuroscience (247 citations), Applied Mathematics (121 citations), Mathematical Physics (73 citations) and Physiology (31 citations). Ken Abe has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Zofia Żukowska, Rosa Linda Miyares, Niaz Sahibzada, José A. Matta, Gerard P. Ahern, Rosa Puertollano, Yoshikazu Giga, Jason U. Tilan, Lijun Li and Lydia E. Kuo. Their work appears in journals such as Journal of the Physical Society of Japan, Journal of Differential Equations, Archive for Rational Mechanics and Analysis, Communications in Mathematical Physics and Journal of Evolution Equations.

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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