Ken Abe
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Sensory Systems top 2%
- Applied Mathematics top 5%
- Physiology
- Co-authors
- Zofia ŻukowskaGerard P. AhernNiaz SahibzadaRosa Linda MiyaresJosé A. MattaRosa PuertollanoYoshikazu GigaJason U. Tilan
- Topics
- Navier-Stokes equation solutions (13 papers)Advanced Mathematical Modeling in Engineering (12 papers)Stability and Controllability of Differential Equations (8 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Ken Abe
44 papers receiving 724 citations
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 234
- Molecular Biology 153
- Sensory Systems 148
- Applied Mathematics 105
- Physiology 103
Countries citing papers authored by Ken Abe
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
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-authorship network of co-authors of Ken Abe
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Abe. A scholar is included among the top collaborators of Ken Abe 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 Ken Abe. Ken Abe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | Investigation of the effect of an anisotropy-resolving subgrid-scale model on budgets of the Reynolds stresses | 1 |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 32 | |
| 10 | 198 | |
| 11 | 15 | |
| 12 | 31 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 40 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | Study of the giant resonance by the 40 Ca(e,e'n) 39 Ca reaction | 1 |
| 19 | TRANSIENT ELECTROCARDIOGRAPHIC CHANGES SIMULATING ACUTE MYOCARDIAL INFARCTION IN CASES WITH DISSEMINATED INTRAVASCULAR COAGULATION | 3 |
| 20 | APPLICATION OF DYE-DILUTION METHOD FOR CARDIOLOGY (Report III) ELECTROCARDIOGRAPHY AND CARDIAC OUTPUT AFTER EXERCISE IN PATIENTS WITH ISCHEMIC HEART DISEASE | 7 |
About Ken Abe
Ken Abe is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 47 papers that have together received 744 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (13 papers), Advanced Mathematical Modeling in Engineering (12 papers) and Stability and Controllability of Differential Equations (8 papers). The work is most often cited by research in Sensory Systems (148 citations), Cellular and Molecular Neuroscience (234 citations) and Applied Mathematics (105 citations). Ken Abe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Zofia Żukowska, Gerard P. Ahern, Niaz Sahibzada, Rosa Linda Miyares, José A. Matta, Rosa Puertollano, Yoshikazu Giga, Jason U. Tilan, Lydia E. Kuo and Lijun Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Neurophysiology.
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.