Junko Kusumi

798 total citations
41 papers, 527 citations indexed

About

Junko Kusumi is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Junko Kusumi has authored 41 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 24 papers in Genetics and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Junko Kusumi's work include Genetic diversity and population structure (21 papers), Genomics and Phylogenetic Studies (10 papers) and Identification and Quantification in Food (7 papers). Junko Kusumi is often cited by papers focused on Genetic diversity and population structure (21 papers), Genomics and Phylogenetic Studies (10 papers) and Identification and Quantification in Food (7 papers). Junko Kusumi collaborates with scholars based in Japan, Indonesia and Taiwan. Junko Kusumi's co-authors include Hidenori Tachida, Yoshihiko Tsumura, Hiroshi Yoshimaru, Zhi‐Hui Su, Hsy‐Yu Tzeng, Akiko Satake, Atsushi J. Nagano, Kazunori Yamahira, Kawilarang W. A. Masengi and Aya Sato and has published in prestigious journals such as PLoS ONE, Scientific Reports and Evolution.

In The Last Decade

Junko Kusumi

39 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junko Kusumi Japan 13 281 198 186 159 62 41 527
Benjamin A. Sandkam United States 17 232 0.8× 289 1.5× 221 1.2× 422 2.7× 121 2.0× 29 835
Marie A. Pointer United Kingdom 12 251 0.9× 327 1.7× 93 0.5× 416 2.6× 78 1.3× 14 807
Cameron J. Weadick Canada 12 211 0.8× 173 0.9× 40 0.2× 146 0.9× 103 1.7× 20 556
Margarete Hoffmann Germany 12 148 0.5× 234 1.2× 90 0.5× 350 2.2× 110 1.8× 13 618
Roberto Feuda United Kingdom 13 353 1.3× 183 0.9× 69 0.4× 172 1.1× 12 0.2× 18 858
Shinji Mizoiri Japan 8 139 0.5× 82 0.4× 106 0.6× 173 1.1× 100 1.6× 12 388
Jean‐Michel Gibert France 17 317 1.1× 175 0.9× 80 0.4× 227 1.4× 14 0.2× 32 671
Nico Posnien Germany 21 712 2.5× 261 1.3× 117 0.6× 342 2.2× 17 0.3× 38 1.1k
Karen D. Crow United States 15 435 1.5× 93 0.5× 185 1.0× 341 2.1× 233 3.8× 27 825
Jean-Nicolas Volff Germany 8 150 0.5× 67 0.3× 78 0.4× 215 1.4× 35 0.6× 10 408

Countries citing papers authored by Junko Kusumi

Since Specialization
Citations

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

Fields of papers citing papers by Junko Kusumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Kusumi

This figure shows the co-authorship network connecting the top 25 collaborators of Junko Kusumi. A scholar is included among the top collaborators of Junko Kusumi 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 Junko Kusumi. Junko Kusumi 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
2.
Kudo, S., et al.. (2025). Evolution of gene expression in seasonal environments. eLife. 14.
3.
Masengi, Kawilarang W. A., et al.. (2024). Evidence for hybridization-driven heteroplasmy maintained across generations in a ricefish endemic to a Wallacean ancient lake. Biology Letters. 20(3). 20230385–20230385. 2 indexed citations
4.
Masengi, Kawilarang W. A., Atsushi J. Nagano, Ryo Kakioka, et al.. (2023). Multiple colonizations and hybridization of a freshwater fish group on a satellite island of Sulawesi. Molecular Phylogenetics and Evolution. 184. 107804–107804. 2 indexed citations
5.
Yamahira, Kazunori, Ryo Kakioka, Javier Montenegro, et al.. (2023). Ghost introgression in ricefishes of the genus Adrianichthys in an ancient Wallacean lake. Journal of Evolutionary Biology. 36(10). 1484–1493. 2 indexed citations
6.
Masengi, Kawilarang W. A., et al.. (2022). Deeply divergent freshwater fish species within a single river system in central Sulawesi. Molecular Phylogenetics and Evolution. 173. 107519–107519. 12 indexed citations
7.
Su, Zhi‐Hui, et al.. (2022). Pollinator sharing, copollination, and speciation by host shifting among six closely related dioecious fig species. Communications Biology. 5(1). 284–284. 18 indexed citations
8.
Montenegro, Javier, Kawilarang W. A. Masengi, Atsushi J. Nagano, et al.. (2021). Mitochondrial introgression by ancient admixture between two distant lacustrine fishes in Sulawesi Island. PLoS ONE. 16(6). e0245316–e0245316. 12 indexed citations
9.
Kakioka, Ryo, Javier Montenegro, Kawilarang W. A. Masengi, et al.. (2021). Species divergence and repeated ancient hybridization in a Sulawesian lake system. Journal of Evolutionary Biology. 34(11). 1767–1780. 16 indexed citations
10.
Kusumi, Junko, et al.. (2021). Copy number analyses of DNA repair genes reveal the role of poly(ADP-ribose) polymerase (PARP) in tree longevity. iScience. 24(7). 102779–102779. 15 indexed citations
11.
Kusumi, Junko, M. Ichinose, & Masaru Iizuka. (2019). Effects of gene duplication, epistasis, recombination and gene conversion on the fixation time of compensatory mutations. Journal of Theoretical Biology. 467. 134–141. 1 indexed citations
12.
Uchiyama, Kentaro, Ryutaro Miyagi, Aya Takahashi, et al.. (2019). Inferring the demographic history of Japanese cedar, Cryptomeria japonica, using amplicon sequencing. Heredity. 123(3). 371–383. 12 indexed citations
14.
Ide, Tatsuya, Junko Kusumi, Kazuki Miura, & Yoshihisa Abe. (2017). Gall Inducers Arose from Inquilines: Phylogenetic Position of a Gall-Inducing Species and Its Relatives in the Inquiline Tribe Synergini (Hymenoptera: Cynipidae). Annals of the Entomological Society of America. 111(1). 6–12. 12 indexed citations
15.
Kusumi, Junko, Shinji Mizoiri, Mitsuto Aibara, et al.. (2013). Genetic Structure of Pelagic and Littoral Cichlid Fishes from Lake Victoria. PLoS ONE. 8(9). e74088–e74088. 12 indexed citations
16.
Kusumi, Junko, Hiroshi Azuma, Hsy‐Yu Tzeng, et al.. (2012). Phylogenetic analyses suggest a hybrid origin of the figs (Moraceae: Ficus) that are endemic to the Ogasawara (Bonin) Islands, Japan. Molecular Phylogenetics and Evolution. 63(1). 168–179. 25 indexed citations
17.
Koga, Akihiko, et al.. (2007). The Tol1 transposable element of the medaka fish moves in human and mouse cells. Journal of Human Genetics. 52(7). 628–635. 25 indexed citations
18.
Kusumi, Junko, Aya Sato, & Hidenori Tachida. (2006). Relaxation of Functional Constraint on Light-Independent Protochlorophyllide Oxidoreductase in Thuja. Molecular Biology and Evolution. 23(5). 941–948. 19 indexed citations
19.
Kusumi, Junko & Hidenori Tachida. (2005). Compositional Properties of Green-Plant Plastid Genomes. Journal of Molecular Evolution. 60(4). 417–425. 16 indexed citations
20.
Kusumi, Junko, Yoshihiko Tsumura, Hiroshi Yoshimaru, & Hidenori Tachida. (2002). Molecular Evolution of Nuclear Genes in Cupressacea, a Group of Conifer Trees. Molecular Biology and Evolution. 19(5). 736–747. 35 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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