Toyoyuki Takada

1.5k total citations
37 papers, 1.1k citations indexed

About

Toyoyuki Takada is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Toyoyuki Takada has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 17 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Toyoyuki Takada's work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (9 papers) and Genetic diversity and population structure (8 papers). Toyoyuki Takada is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (9 papers) and Genetic diversity and population structure (8 papers). Toyoyuki Takada collaborates with scholars based in Japan, United States and Czechia. Toyoyuki Takada's co-authors include Attila Kumánovics, Kirsten Fischer Lindahl, Toshihiko Shiroishi, Yoshiaki Kikkawa, Hiromichi Yonekawa, Takashi Amano, Elsy P. Jones, Lisa Stowers, Fábio Papes and Catherine Dulac and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Toyoyuki Takada

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toyoyuki Takada Japan 17 390 383 243 181 144 37 1.1k
Noriko Wakisaka Japan 12 391 1.0× 225 0.6× 60 0.2× 112 0.6× 110 0.8× 20 864
Jacqueline K. White United Kingdom 25 1.1k 2.8× 248 0.6× 260 1.1× 432 2.4× 121 0.8× 63 2.2k
Yasuhiro Go Japan 20 500 1.3× 210 0.5× 87 0.4× 155 0.9× 366 2.5× 52 1.2k
L. Lü China 13 460 1.2× 305 0.8× 253 1.0× 76 0.4× 31 0.2× 29 980
Zuoren Wang China 24 1.1k 2.8× 378 1.0× 159 0.7× 921 5.1× 204 1.4× 55 2.4k
Brian M. McDermott United States 18 483 1.2× 125 0.3× 103 0.4× 123 0.7× 310 2.2× 27 1.1k
Atsushi Matsui Japan 20 392 1.0× 142 0.4× 82 0.3× 151 0.8× 267 1.9× 44 1.4k
Anne Marcuz Switzerland 17 389 1.0× 97 0.3× 463 1.9× 134 0.7× 122 0.8× 29 999
Richard Guyon France 12 329 0.8× 402 1.0× 50 0.2× 50 0.3× 63 0.4× 19 725
Kirsten Fischer Lindahl United States 28 858 2.2× 353 0.9× 1.6k 6.8× 200 1.1× 159 1.1× 67 2.7k

Countries citing papers authored by Toyoyuki Takada

Since Specialization
Citations

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

Fields of papers citing papers by Toyoyuki Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toyoyuki Takada

This figure shows the co-authorship network connecting the top 25 collaborators of Toyoyuki Takada. A scholar is included among the top collaborators of Toyoyuki Takada 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 Toyoyuki Takada. Toyoyuki Takada 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
1.
Endo, Toshinori, et al.. (2024). Inference of selective forces on house mouse genomes during secondary contact in East Asia. Genome Research. 34(3). 366–375. 2 indexed citations
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Kawai, Yosuke, Toyoyuki Takada, Toshihiko Shiroishi, et al.. (2022). Insights into Mus musculus Population Structure across Eurasia Revealed by Whole-Genome Analysis. Genome Biology and Evolution. 14(5). 13 indexed citations
5.
Yasuda, Shumpei P., Yuki Miyasaka, Hiroshi Shitara, et al.. (2022). Two Loci Contribute to Age-Related Hearing Loss Resistance in the Japanese Wild-Derived Inbred MSM/Ms Mice. Biomedicines. 10(9). 2221–2221. 4 indexed citations
6.
Masuya, Hiroshi, Hatsumi Nakata, Toyoyuki Takada, et al.. (2021). Establishment and application of information resource of mutant mice in RIKEN BioResource Research Center. SHILAP Revista de lepidopterología. 37(1). 6–6. 4 indexed citations
7.
Li, Yue, Naoki Osada, Yosuke Kawai, et al.. (2020). House mouse Mus musculus dispersal in East Eurasia inferred from 98 newly determined complete mitochondrial genome sequences. Heredity. 126(1). 132–147. 23 indexed citations
8.
Šimeček, Petr, Jiřı́ Forejt, Robert W. Williams, et al.. (2017). High-Resolution Maps of Mouse Reference Populations. G3 Genes Genomes Genetics. 7(10). 3427–3434. 7 indexed citations
9.
Takada, Toyoyuki, Atsushi Yoshiki, Yuichi Obata, Yukiko Yamazaki, & Toshihiko Shiroishi. (2015). NIG_MoG: a mouse genome navigator for exploring intersubspecific genetic polymorphisms. Mammalian Genome. 26(7-8). 331–337. 15 indexed citations
10.
Takada, Toyoyuki, et al.. (2014). Evolutionarily Diverged Regulation of X-chromosomal Genes as a Primal Event in Mouse Reproductive Isolation. PLoS Genetics. 10(4). e1004301–e1004301. 9 indexed citations
11.
Takada, Toyoyuki, Hideki Noguchi, Thomas Keane, et al.. (2013). The ancestor of extant Japanese fancy mice contributed to the mosaic genomes of classical inbred strains. Genome Research. 23(8). 1329–1338. 75 indexed citations
12.
Inoue, Katsumi, et al.. (2012). Evaluation of the Prediction of Gene Knockout Effects by Minimal Pathway Enumeration. 4. 154–165. 1 indexed citations
13.
Takada, Toyoyuki, Akihiko Mita, Akiteru Maeno, et al.. (2008). Mouse inter-subspecific consomic strains for genetic dissection of quantitative complex traits. Genome Research. 18(3). 500–508. 73 indexed citations
14.
Takada, Toyoyuki, Hiroshi Shitara, Kunie Matsuoka, et al.. (2008). A novel hairless mouse model on an atopic dermatitis-prone genetic background generated by receptor-mediated transgenesis. Transgenic Research. 17(6). 1155–1162. 8 indexed citations
15.
Takada, Toyoyuki, Attila Kumánovics, Claire Amadou, et al.. (2003). Species-Specific Class I Gene Expansions Formed the Telomeric 1 Mb of the Mouse Major Histocompatibility Complex. Genome Research. 13(4). 589–600. 22 indexed citations
16.
Kumánovics, Attila, Toyoyuki Takada, & Kirsten Fischer Lindahl. (2003). Genomic Organization of the MammalianMhc. Annual Review of Immunology. 21(1). 629–657. 189 indexed citations
17.
Papes, Fábio, Lisa Stowers, Elsy P. Jones, et al.. (2003). Functional Expression of Murine V2R Pheromone Receptors Involves Selective Association with the M10 and M1 Families of MHC Class Ib Molecules. Cell. 112(5). 607–618. 215 indexed citations
18.
Takada, Toyoyuki, Yoshiaki Kikkawa, Hiromichi Yonekawa, & Takashi Amano. (1998). Analysis of goat MHC class II DRA and DRB genes: identification of the expressed gene and new DRB alleles. Immunogenetics. 48(6). 408–412. 30 indexed citations
19.
Takada, Toyoyuki, Yoshiaki Kikkawa, Hiromichi Yonekawa, Shigehisa Kawakami, & Takashi Amano. (1997). Bezoar (Capra aegagrus) Is a Matriarchal Candidate for Ancestor of Domestic Goat (Capra hircus): Evidence from the Mitochondrial DNA Diversity. Biochemical Genetics. 35(9-10). 315–326. 47 indexed citations
20.
Takada, Toyoyuki, Akira Yamamoto, Koichiro Omori, & Yutaka Tashiro. (1992). Quantitative immunogold localization of Na, K-ATPase along rat nephron. Histochemistry and Cell Biology. 98(3). 183–197. 16 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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