Toshio Sekimura

444 total citations
18 papers, 278 citations indexed

About

Toshio Sekimura is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Genetics. According to data from OpenAlex, Toshio Sekimura has authored 18 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, Evolution, Behavior and Systematics, 7 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Toshio Sekimura's work include Plant and animal studies (4 papers), Plant Parasitism and Resistance (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Toshio Sekimura is often cited by papers focused on Plant and animal studies (4 papers), Plant Parasitism and Resistance (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Toshio Sekimura collaborates with scholars based in Japan, United Kingdom and United States. Toshio Sekimura's co-authors include Philip K. Maini, Anotida Madzvamuse, H. Frederik Nijhout, Andrew J. Wathen, Hirokazu Hotani, Chandrasekhar Venkataraman, Eamonn A. Gaffney, Sumihare Noji, Naoto Ueno and Yasuhiro Takeuchi and has published in prestigious journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Journal of Theoretical Biology.

In The Last Decade

Toshio Sekimura

17 papers receiving 265 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Toshio Sekimura Japan	10	94	69	60	57	45	18	278
Pablo Padilla Mexico	11	44 0.5×	27 0.4×	93 1.6×	33 0.6×	14 0.3×	28	290
Seita Miyazawa Japan	9	19 0.2×	66 1.0×	41 0.7×	133 2.3×	57 1.3×	10	396
Pushpita Ghosh India	12	26 0.3×	104 1.5×	221 3.7×	139 2.4×	24 0.5×	31	506
Hideo Sakaguchi Japan	4	22 0.2×	95 1.4×	89 1.5×	128 2.2×	18 0.4×	10	388
E. J. Crampin New Zealand	9	33 0.4×	77 1.1×	220 3.7×	217 3.8×	88 2.0×	13	561
Stefan Reinker Germany	8	20 0.2×	63 0.9×	106 1.8×	377 6.6×	148 3.3×	10	635
Fridtjof Brauns Germany	11	19 0.2×	24 0.3×	113 1.9×	145 2.5×	140 3.1×	21	398
Jacob Halatek Germany	12	16 0.2×	119 1.7×	205 3.4×	335 5.9×	142 3.2×	14	605
Daniel S. Calovi France	8	81 0.9×	59 0.9×	129 2.1×	57 1.0×	44 1.0×	12	358
Guo‐Dong Ren China	11	212 2.3×	36 0.5×	95 1.6×	38 0.7×	5 0.1×	124	611

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-authorship network of co-authors of Toshio Sekimura

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

All Works

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18 of 18 papers shown

Sekimura, Toshio, et al.. (2017). Molecular phylogenetic relationship of African swallowtail butterflies, Papilio dardanus, P. phorcas, P. nireus, and P. demodocus, to Japanese papilionid butterflies analyzed by DNA sequences of mitochondrial ND5, COI, and COII genes. 68(2). 46–52. 1 indexed citations

Nijhout, H. Frederik & Toshio Sekimura. (2017). Diversity and Evolution of Butterfly Wing Patterns. BiblioBoard Library Catalog (Open Research Library). 36 indexed citations

Madzvamuse, Anotida, et al.. (2016). The moving grid finite element method applied to biological problems, In Morphogenesis and Pattern Formation in Biological Systems: Experiments and Models. Oxford University Research Archive (ORA) (University of Oxford).

Sekimura, Toshio, Chandrasekhar Venkataraman, & Anotida Madzvamuse. (2015). A Model for Selection of Eyespots on Butterfly Wings. PLoS ONE. 10(11). e0141434–e0141434. 9 indexed citations

Sekimura, Toshio, et al.. (2014). A model for population dynamics of the mimetic butterfly Papilio polytes in the Sakishima Islands, Japan. Journal of Theoretical Biology. 361. 133–140. 9 indexed citations

Venkataraman, Chandrasekhar, Toshio Sekimura, Eamonn A. Gaffney, Philip K. Maini, & Anotida Madzvamuse. (2011). Modeling parr-mark pattern formation during the early development of Amago trout. Physical Review E. 84(4). 41923–41923. 23 indexed citations

Sekimura, Toshio, Sumihare Noji, Naoto Ueno, & Philip K. Maini. (2003). Morphogenesis and pattern formation in biological systems : experiments and models. CERN Document Server (European Organization for Nuclear Research). 21 indexed citations

Nijhout, H. Frederik, Philip K. Maini, Anotida Madzvamuse, Andrew J. Wathen, & Toshio Sekimura. (2003). Pigmentation pattern formation in butterflies: experiments and models. Comptes Rendus Biologies. 326(8). 717–727. 30 indexed citations

Madzvamuse, Anotida, Philip K. Maini, Andrew J. Wathen, & Toshio Sekimura. (2002). A predictive model for color pattern formation in the butterfly wing of {\it Papilio dardanus}. Hiroshima Mathematical Journal. 32(2). 11 indexed citations

10.

Sekimura, Toshio, Tiina Roose, Bo Li, et al.. (2000). The effect of population density on shoot morphology of herbs in relation to light capture by leaves. Ecological Modelling. 128(1). 51–62. 14 indexed citations

11.

Sekimura, Toshio, Anotida Madzvamuse, Andrew J. Wathen, & Philip K. Maini. (2000). A model for colour pattern formation in the butterfly wing of Papilio dardanus. Proceedings of the Royal Society B Biological Sciences. 267(1446). 851–859. 54 indexed citations

12.

Sekimura, Toshio. (1999). Pattern Formation of Scale Cells in Lepidoptera by Differential Origin-dependent Cell Adhesion. Bulletin of Mathematical Biology. 61(5). 807–828. 21 indexed citations

13.

Sekimura, Toshio, et al.. (1998). Pattern formation in Lepidopteran wings. Oxford University Research Archive (ORA) (University of Oxford). 7 indexed citations

14.

Sekimura, Toshio. (1997). The Plasticity in Shoot Morphology of Herbs in Relation to Light Capture by Leaves. Forma. 12(2). 143–152. 1 indexed citations

15.

Sekimura, Toshio. (1995). The Diversity in Shoot Morphology of Herbaceous Plants in Relation to Solar Radiation Captured by Leaves. Journal of Theoretical Biology. 177(3). 289–298. 13 indexed citations

16.

Sekimura, Toshio & Akihiro Yoshida. (1991). A Model for Cellular Pattern Formation of Scales in a Butterfly Wing(Mathematical Topics in Biology). Kyoto University Research Information Repository (Kyoto University). 762. 123–132. 1 indexed citations

17.

Sekimura, Toshio & Hirokazu Hotani. (1991). The morphogenesis of liposomes viewed from the aspect of bending energy. Journal of Theoretical Biology. 149(3). 325–337. 18 indexed citations

18.

Sekimura, Toshio, et al.. (1986). A spatial pattern formation model for Dictyostelium discoideum. Journal of Theoretical Biology. 122(3). 325–338. 9 indexed citations

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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