Toshio Sekimura

17 papers receiving 265 citations

Peers

Toshio Sekimura
Comparison fields: 5 of 64
  • Ecology, Evolution, Behavior and Systematics 94
  • Modeling and Simulation 22
  • Cell Biology 45
  • Computer Networks and Communications 60
  • Nature and Landscape Conservation 31
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Pablo Padilla Mexico
Seita Miyazawa Japan
Stefan Reinker Germany
Roberto Carrillo Chile
Daniel S. Calovi France
Carlos Espinosa‐Soto Mexico
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Citations per year

Countries citing papers authored by Toshio Sekimura

Since Specialization
Citations

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

Fields of papers citing papers by Toshio Sekimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Toshio Sekimura, 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 Toshio Sekimura Line = papers co-authored together Toshio Sekimura links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200054
2 201736
3 200330
4 201123
5 200321
6 199921
7 199118
8 200014
9 199513
10 200211
11 20159
12 20149
13 19869
14
Pattern formation in Lepidopteran wings
19987
15
A Model for Cellular Pattern Formation of Scales in a Butterfly Wing(Mathematical Topics in Biology)
19911
16
The Plasticity in Shoot Morphology of Herbs in Relation to Light Capture by Leaves
19971
17 20171
18
The moving grid finite element method applied to biological problems, In Morphogenesis and Pattern Formation in Biological Systems: Experiments and Models
20160

About Toshio Sekimura

Toshio Sekimura is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Genetics, Computer Networks and Communications and Molecular Biology, having authored 18 papers that have together received 278 indexed citations. Recurring topics across this work include Plant and animal studies (4 papers), Plant Parasitism and Resistance (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Aging, Elder Care, and Social Issues (2 papers), Hermeneutics and Narrative Identity (2 papers), Health, Medicine and Society (2 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Greenhouse Technology and Climate Control (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (94 citations), Modeling and Simulation (22 citations), Cell Biology (45 citations), Computer Networks and Communications (60 citations) and Nature and Landscape Conservation (31 citations). Toshio Sekimura has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Philip K. Maini, Anotida Madzvamuse, H. Frederik Nijhout, Andrew J. Wathen, Hirokazu Hotani, Chandrasekhar Venkataraman, Naoto Ueno, Sumihare Noji, Eamonn A. Gaffney and Yasuhiro Takeuchi. Their work appears in journals such as Journal of Theoretical Biology, Proceedings of the Royal Society B Biological Sciences, Ecological Modelling, Hiroshima Mathematical Journal and Bulletin of Mathematical Biology.

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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