Kiyoshi Kikuchi

4.9k total citations · 1 hit paper
128 papers, 3.7k citations indexed

About

Kiyoshi Kikuchi is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Kiyoshi Kikuchi has authored 128 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Genetics, 47 papers in Molecular Biology and 26 papers in Immunology. Recurrent topics in Kiyoshi Kikuchi's work include Genetic diversity and population structure (25 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers) and Physiological and biochemical adaptations (14 papers). Kiyoshi Kikuchi is often cited by papers focused on Genetic diversity and population structure (25 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers) and Physiological and biochemical adaptations (14 papers). Kiyoshi Kikuchi collaborates with scholars based in Japan, United States and China. Kiyoshi Kikuchi's co-authors include Hiroaki Suetake, Yuzuru Suzuki, Shugo Watabe, Satoshi Hamaguchi, S. Hosoya, Peter Rotwein, David P. Bichell, Wataru Kai, Satoshi Tasumi and Katsumi Aida and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Kiyoshi Kikuchi

121 papers receiving 3.6k citations

Hit Papers

A Trans-Species Missense SNP in Amhr2 Is Associated with ... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiyoshi Kikuchi Japan 33 1.4k 1.3k 940 582 494 128 3.7k
Shaojun Du United States 33 1.2k 0.9× 2.6k 2.0× 627 0.7× 211 0.4× 131 0.3× 119 4.2k
Peter Aleström Norway 36 1.3k 0.9× 2.2k 1.7× 346 0.4× 283 0.5× 168 0.3× 113 3.8k
Øivind Andersen Norway 32 1.1k 0.8× 922 0.7× 770 0.8× 812 1.4× 72 0.1× 104 3.3k
Yasutoshi Yoshiura Japan 38 1.5k 1.1× 724 0.6× 1.5k 1.6× 1.4k 2.5× 97 0.2× 98 3.8k
Anna Wargelius Norway 29 908 0.6× 942 0.7× 543 0.6× 596 1.0× 107 0.2× 67 2.6k
Hiroaki Suetake Japan 30 938 0.7× 552 0.4× 1.5k 1.6× 622 1.1× 172 0.3× 68 2.9k
Masakane Yamashita Japan 40 1.7k 1.2× 2.3k 1.8× 301 0.3× 1.7k 3.0× 422 0.9× 156 5.4k
Jie Mei China 28 1.0k 0.7× 732 0.6× 388 0.4× 616 1.1× 190 0.4× 93 2.2k
Rex A. Dunham United States 43 2.9k 2.1× 2.1k 1.6× 1.6k 1.7× 1.2k 2.0× 362 0.7× 254 6.1k
Julien Bobe France 35 1.9k 1.4× 1.0k 0.8× 644 0.7× 3.0k 5.1× 170 0.3× 116 5.2k

Countries citing papers authored by Kiyoshi Kikuchi

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Kikuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoshi Kikuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Kikuchi. A scholar is included among the top collaborators of Kiyoshi Kikuchi 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 Kiyoshi Kikuchi. Kiyoshi Kikuchi 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.
Hirase, Shotaro, Takashi Makino, Takeshi Takeuchi, et al.. (2025). Ancestral Origin and Structural Characteristics of Non‐Syntenic Homologous Chromosomes in Abalones ( Haliotis ). Molecular Ecology Resources. 26(1). e70057–e70057.
3.
Kikuchi, Kiyoshi, et al.. (2024). Automated phenotyping empowered by deep learning for genomic prediction of body size in the tiger pufferfish, Takifugu rubripes. Aquaculture. 595. 741491–741491. 4 indexed citations
4.
Hirase, Shotaro, et al.. (2024). Phenotypic and Genomic Signatures of Latitudinal Local Adaptation Along With Prevailing Ocean Current in a Coastal Goby. Molecular Ecology. 34(2). e17599–e17599. 1 indexed citations
5.
6.
Arakaki, Seiji, et al.. (2023). Genomic landscape of introgression from the ghost lineage in a gobiid fish uncovers the generality of forces shaping hybrid genomes. Molecular Ecology. 33(20). e17216–e17216. 4 indexed citations
7.
Hirase, Shotaro, Masashi Sekino, Motoyuki Hara, & Kiyoshi Kikuchi. (2023). Accumulation of gene copy number variations during the early phase of free‐spawning abalone speciation. Ecology and Evolution. 13(2). e9816–e9816. 4 indexed citations
8.
Hirase, Shotaro, et al.. (2022). Genomic signatures for latitudinal selection in the tropical eel Anguilla marmorata. Journal of Evolutionary Biology. 35(5). 763–771. 2 indexed citations
9.
Hosoya, S., Takashi Koyama, Shotaro Hirase, et al.. (2022). Repeated translocation of a supergene underlying rapid sex chromosome turnover in Takifugu pufferfish. Proceedings of the National Academy of Sciences. 119(23). e2121469119–e2121469119. 30 indexed citations
11.
Hirase, Shotaro, Masashi Sekino, Minoru Ikeda, et al.. (2021). Genomic Evidence for Speciation with Gene Flow in Broadcast Spawning Marine Invertebrates. Molecular Biology and Evolution. 38(11). 4683–4699. 20 indexed citations
12.
Koyama, Takashi, Masatoshi Nakamoto, Kagayaki Morishima, et al.. (2019). A SNP in a Steroidogenic Enzyme Is Associated with Phenotypic Sex in Seriola Fishes. Current Biology. 29(11). 1901–1909.e8. 84 indexed citations
13.
Hosoya, S., Shotaro Hirase, Kiyoshi Kikuchi, et al.. (2019). Random PCR‐based genotyping by sequencing technology GRAS‐Di (genotyping by random amplicon sequencing, direct) reveals genetic structure of mangrove fishes. Molecular Ecology Resources. 19(5). 1153–1163. 55 indexed citations
14.
Hosoya, S., Takashi Kamiya, Satoshi Tasumi, et al.. (2018). Identification of the sex-determining locus in grass puffer (Takifugu niphobles) provides evidence for sex-chromosome turnover in a subset of Takifugu species. PLoS ONE. 13(1). e0190635–e0190635. 41 indexed citations
15.
Hosoya, S., Kiyoshi Kikuchi, Hiroshi Nagashima, et al.. (2018). Assessment of genetic diversity in Coho salmon (Oncorhynchus kisutch) populations with no family records using ddRAD-seq. BMC Research Notes. 11(1). 548–548. 20 indexed citations
16.
Kikuchi, Kiyoshi & Wataru Kai. (2012). II-3. Integration of the genetic map and genome assembly of fugu (the tiger pufferfish) and its applications. NIPPON SUISAN GAKKAISHI. 78(2). 269–269. 2 indexed citations
17.
Suetake, Hiroaki, et al.. (2007). A Teleost Polymeric Ig Receptor Exhibiting Two Ig-Like Domains Transports Tetrameric IgM into the Skin. The Journal of Immunology. 178(9). 5682–5689. 117 indexed citations
18.
Kikuchi, Kiyoshi, et al.. (1999). Characterization of the carp myosin heavy chain multigene family. Gene. 228(1-2). 189–196. 31 indexed citations
19.
Suetake, Hiroaki, et al.. (1995). MOLECULAR CLONING OF A cDNA THAT ENCODES THE PRECURSOR TO A SALMON-TYPE GONADOTROPIN-RELEASING HORMONE IN THE GOLDFISH. 10. 46. 3 indexed citations
20.
Yoshiura, Yasutoshi, et al.. (1995). MOLECULAR CLONING OF cDNA THAT ENCODES THE β SUBUNIT OF TELEOST THYROTROPIN FROM THE GOLDFISH. 10. 47. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026