Tetsuaki Kimura

1.1k total citations
28 papers, 618 citations indexed

About

Tetsuaki Kimura is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Tetsuaki Kimura has authored 28 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Genetics and 4 papers in Immunology. Recurrent topics in Tetsuaki Kimura's work include Animal Genetics and Reproduction (8 papers), CRISPR and Genetic Engineering (4 papers) and Developmental Biology and Gene Regulation (4 papers). Tetsuaki Kimura is often cited by papers focused on Animal Genetics and Reproduction (8 papers), CRISPR and Genetic Engineering (4 papers) and Developmental Biology and Gene Regulation (4 papers). Tetsuaki Kimura collaborates with scholars based in Japan, United Kingdom and United States. Tetsuaki Kimura's co-authors include Kiyoshi Naruse, Ituro Inoue, Ryota Sugimoto, Hirofumi Nakaoka, Takahide Hayano, Jumpei Ito, Shiro YAMADA, Hisashi Hashimoto, Yusuke Nagao and Minori Shinya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Tetsuaki Kimura

27 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuaki Kimura Japan 14 292 190 126 116 116 28 618
Jaakko Mattila Finland 14 317 1.1× 58 0.3× 163 1.3× 123 1.1× 56 0.5× 28 725
Jonas von Hofsten Sweden 18 550 1.9× 421 2.2× 230 1.8× 252 2.2× 22 0.2× 32 1.3k
Rebecca Nix United Kingdom 7 402 1.4× 111 0.6× 133 1.1× 205 1.8× 77 0.7× 7 1.0k
Franck Chesnel France 21 805 2.8× 268 1.4× 95 0.8× 311 2.7× 73 0.6× 47 1.6k
Johnny Karlsson Sweden 11 218 0.7× 154 0.8× 56 0.4× 148 1.3× 10 0.1× 17 725
Arif Kocabas United States 14 741 2.5× 331 1.7× 197 1.6× 30 0.3× 66 0.6× 20 1.1k
Mark G. Larman United Kingdom 21 892 3.1× 322 1.7× 64 0.5× 149 1.3× 256 2.2× 34 2.6k
Virgilio Ponferrada United States 15 544 1.9× 145 0.8× 61 0.5× 92 0.8× 71 0.6× 19 762
Korneel Hens Belgium 20 721 2.5× 225 1.2× 159 1.3× 68 0.6× 133 1.1× 40 1.1k
Toong Jin Lam Singapore 13 229 0.8× 172 0.9× 196 1.6× 70 0.6× 10 0.1× 19 602

Countries citing papers authored by Tetsuaki Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuaki Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuaki Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuaki Kimura. A scholar is included among the top collaborators of Tetsuaki Kimura 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 Tetsuaki Kimura. Tetsuaki Kimura 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.
Mineharu, Yohei, Noriaki Sato, Yoshinori Tamada, et al.. (2025). Peripheral blood GATA2 expression impacts RNF213 mutation penetrance and clinical severity in moyamoya disease. Stroke and Vascular Neurology. 10(6). 752–763. 1 indexed citations
2.
Fujita, Kosuke, Tetsuaki Kimura, Shumpei Niida, et al.. (2025). Genetic background and multidomain interventions in mild cognitive impairment. Alzheimer s Research & Therapy. 17(1). 130–130.
3.
Shigemizu, Daichi, Koya Fukunaga, Kosuke Fujita, et al.. (2024). The HLA-DRB1*09:01-DQB1*03:03 haplotype is associated with the risk for late-onset Alzheimer’s disease in APOE $${{\varepsilon }}$$4–negative Japanese adults. PubMed. 10(1). 3–3. 3 indexed citations
4.
Kimura, Tetsuaki, Kosuke Fujita, Takashi Sakurai, et al.. (2024). Whole-genome sequencing to identify rare variants in East Asian patients with dementia with Lewy bodies. PubMed. 10(1). 52–52. 2 indexed citations
5.
Igarashi, Arisa, Kumiko Yanagi, Kazuhito Satou, et al.. (2024). Functional analysis of RRAS2 pathogenic variants with a Noonan-like phenotype. Frontiers in Genetics. 15. 1383176–1383176. 2 indexed citations
6.
Takada, Hiroyuki, Akiko Shiraishi, Tetsuaki Kimura, et al.. (2023). A gene regulatory network combining Pax3/7, Sox10 and Mitf generates diverse pigment cell types in medaka and zebrafish. Development. 150(19). 22 indexed citations
7.
Ohgidani, Masahiro, Nobuhiro Hata, Noriaki Sagata, et al.. (2023). Angiogenic and inflammatory responses in human induced microglia-like (iMG) cells from patients with Moyamoya disease. Scientific Reports. 13(1). 14842–14842. 6 indexed citations
8.
Shinya, Minori, Tetsuaki Kimura, & Kiyoshi Naruse. (2023). High-speed system to generate congenic strains in medaka. Genes & Genetic Systems. 98(5). 267–275. 1 indexed citations
9.
Ito, Jumpei, Ryota Sugimoto, Hirofumi Nakaoka, et al.. (2017). Systematic identification and characterization of regulatory elements derived from human endogenous retroviruses. PLoS Genetics. 13(7). e1006883–e1006883. 118 indexed citations
10.
Sagai, Tomoko, Takanori Amano, Akiteru Maeno, et al.. (2017). Evolution of Shh endoderm enhancers during morphological transition from ventral lungs to dorsal gas bladder. Nature Communications. 8(1). 14300–14300. 16 indexed citations
11.
Nishimaki, Toshiyuki, Tetsuaki Kimura, Hiroki Oota, et al.. (2016). Transgenic medaka that overexpress growth hormone have a skin color that does not indicate the activation or inhibition of somatolactin-α signal. Gene. 584(1). 38–46. 6 indexed citations
12.
Nishimura, T., Amaury Herpin, Tetsuaki Kimura, et al.. (2014). Analysis of a novel gene, Sdgc , reveals sex chromosome-dependent differences of medaka germ cells prior to gonad formation. Development. 141(17). 3363–3369. 14 indexed citations
13.
Nagao, Yusuke, Takao Suzuki, Atsushi Shimizu, et al.. (2014). Sox5 Functions as a Fate Switch in Medaka Pigment Cell Development. PLoS Genetics. 10(4). e1004246–e1004246. 50 indexed citations
14.
Kimura, Tetsuaki, Minori Shinya, Yuji Suehiro, et al.. (2014). Genetic Control of Startle Behavior in Medaka Fish. PLoS ONE. 9(11). e112527–e112527. 17 indexed citations
15.
Abe, Koichiro, Matthias Klaften, Akira Narita, et al.. (2009). Genome-wide search for genes that modulate inflammatory arthritis caused by Ali18 mutation in mice. Mammalian Genome. 20(3). 152–161. 4 indexed citations
16.
Kimura, Tetsuaki, Batmunkh Munkhbat, Hideki Hayashi, et al.. (2008). Genome-wide association analysis with selective genotyping identifies candidate loci for adult height at 8q21.13 and 15q22.33-q23 in Mongolians. Human Genetics. 123(6). 655–660. 13 indexed citations
17.
18.
Kimura, Tetsuaki, Keiko Yoshida, Atsuko Shimada, et al.. (2005). Genetic linkage map of medaka with polymerase chain reaction length polymorphisms. Gene. 363. 24–31. 23 indexed citations
19.
Kimura, Tetsuaki, Tomoko Jindo, Takanori Narita, et al.. (2004). Large-scale isolation of ESTs from medaka embryos and its application to medaka developmental genetics. Mechanisms of Development. 121(7-8). 915–932. 73 indexed citations
20.
Nata, Masayuki, Tetsuaki Kimura, Masaki Hashiyada, et al.. (1999). Allele frequencies of eight STRs in Japanese and Chinese. International Journal of Legal Medicine. 112(6). 396–399. 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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