Kazuto Yoshimi

1.9k total citations
33 papers, 1.3k citations indexed

About

Kazuto Yoshimi is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Kazuto Yoshimi has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Surgery. Recurrent topics in Kazuto Yoshimi's work include CRISPR and Genetic Engineering (17 papers), Pluripotent Stem Cells Research (7 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Kazuto Yoshimi is often cited by papers focused on CRISPR and Genetic Engineering (17 papers), Pluripotent Stem Cells Research (7 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Kazuto Yoshimi collaborates with scholars based in Japan, United States and Thailand. Kazuto Yoshimi's co-authors include Tomoji Mashimo, Birger Voigt, Takehito Kaneko, Yayoi Kunihiro, Takashi Kuramoto, Tadao Serikawa, Hitoshi Nagahora, Akiko Takizawa, Hiroshi Hiai and Takuji Tanaka and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Kazuto Yoshimi

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuto Yoshimi Japan 16 952 390 93 84 79 33 1.3k
Ryan L. Collins United States 15 1.0k 1.1× 471 1.2× 138 1.5× 78 0.9× 68 0.9× 28 1.3k
Andrew Gregg United States 7 905 1.0× 205 0.5× 134 1.4× 50 0.6× 94 1.2× 10 1.1k
Birger Voigt Japan 16 953 1.0× 482 1.2× 46 0.5× 74 0.9× 63 0.8× 35 1.3k
Noah Davidsohn United States 8 1.7k 1.7× 279 0.7× 100 1.1× 112 1.3× 214 2.7× 9 1.9k
Benedikt Wefers Germany 17 1.4k 1.5× 429 1.1× 83 0.9× 117 1.4× 152 1.9× 31 1.9k
Baisong Lu United States 27 1.4k 1.4× 629 1.6× 220 2.4× 47 0.6× 44 0.6× 63 1.9k
Anthony D’Ippolito United States 10 2.3k 2.5× 484 1.2× 166 1.8× 213 2.5× 170 2.2× 20 2.6k
Bjørn Holst Denmark 20 991 1.0× 186 0.5× 40 0.4× 48 0.6× 71 0.9× 67 1.4k
Boris Kantor United States 21 1.1k 1.1× 671 1.7× 104 1.1× 16 0.2× 36 0.5× 44 1.5k
Rolen M. Quadros United States 11 653 0.7× 187 0.5× 75 0.8× 33 0.4× 30 0.4× 23 922

Countries citing papers authored by Kazuto Yoshimi

Since Specialization
Citations

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

Fields of papers citing papers by Kazuto Yoshimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuto Yoshimi

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuto Yoshimi. A scholar is included among the top collaborators of Kazuto Yoshimi 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 Kazuto Yoshimi. Kazuto Yoshimi 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.
Ishida, Saeko, et al.. (2025). Diverse Cre recombinase expression pattern in Albumin-Cre driver rats. EXPERIMENTAL ANIMALS. 74(3). 328–334.
2.
Oishi, K, Kaoru Yoshida, Manabu Yoshida, et al.. (2025). COXFA4L3 enhances mitochondrial complex IV function to boost ATP synthesis and drive sperm motility. Mitochondrion. 86. 102082–102082.
3.
Asano, Kana, Kazuto Yoshimi, Kohei Takeshita, et al.. (2024). CRISPR Diagnostics for Quantification and Rapid Diagnosis of Myotonic Dystrophy Type 1 Repeat Expansion Disorders. ACS Synthetic Biology. 13(12). 3926–3935. 2 indexed citations
4.
Yoshimi, Kazuto, Akihiro Kuno, Yuko Yamauchi, et al.. (2024). Genome editing using type I-E CRISPR-Cas3 in mice and rat zygotes. Cell Reports Methods. 4(8). 100833–100833. 1 indexed citations
5.
Ishida, Saeko, et al.. (2024). A novel Kit mutant rat enables hematopoietic stem cell engraftment without irradiation. Experimental Hematology. 132. 104174–104174. 1 indexed citations
6.
Yoshimi, Kazuto & Tomoji Mashimo. (2022). Genome editing technology and applications with the type I CRISPR system. 3-4. 100013–100013. 9 indexed citations
7.
Yoshimi, Kazuto, Kohei Takeshita, Noriyuki Kodera, et al.. (2022). Dynamic mechanisms of CRISPR interference by Escherichia coli CRISPR-Cas3. Nature Communications. 13(1). 4917–4917. 23 indexed citations
8.
Matsumura, Ritsuko, Kazuto Yoshimi, Yuka Sawai, et al.. (2022). The role of cell-autonomous circadian oscillation of Cry transcription in circadian rhythm generation. Cell Reports. 39(3). 110703–110703. 13 indexed citations
9.
Hirano, Rika, Mikiyasu Sakanaka, Kazuto Yoshimi, et al.. (2021). Next-generation prebiotic promotes selective growth of bifidobacteria, suppressing Clostridioides difficile. Gut Microbes. 13(1). 1973835–1973835. 24 indexed citations
10.
Yoshimi, Kazuto, et al.. (2020). Photoactivatable Cre knock-in mice for spatiotemporal control of genetic engineering in vivo. Laboratory Investigation. 101(1). 125–135. 9 indexed citations
11.
Yoshimi, Kazuto, Y. Oka, Yoshiki Miyasaka, et al.. (2020). Combi-CRISPR: combination of NHEJ and HDR provides efficient and precise plasmid-based knock-ins in mice and rats. Human Genetics. 140(2). 277–287. 28 indexed citations
12.
Yoshimi, Kazuto, Yuya Okuzaki, Peter Gee, et al.. (2019). CRISPR-Cas3 induces broad and unidirectional genome editing in human cells. Nature Communications. 10(1). 5302–5302. 130 indexed citations
13.
Sakakibara, Hiroyuki, Aki Takahashi, Yuki Matsumoto, et al.. (2017). Hierarchy in the home cage affects behaviour and gene expression in group-housed C57BL/6 male mice. Scientific Reports. 7(1). 6991–6991. 52 indexed citations
14.
Yoshimi, Kazuto & Tomoji Mashimo. (2017). Application of genome editing technologies in rats for human disease models. Journal of Human Genetics. 63(2). 115–123. 13 indexed citations
15.
Kuramoto, Takashi, Naofumi Kunisawa, Kana Ohashi, et al.. (2017). Tremor dominant Kyoto ( Trdk ) rats carry a missense mutation in the gene encoding the SK2 subunit of small-conductance Ca 2+ -activated K + channel. Brain Research. 1676. 38–45. 18 indexed citations
16.
Yoshimi, Kazuto, Yayoi Kunihiro, Takehito Kaneko, et al.. (2016). ssODN-mediated knock-in with CRISPR-Cas for large genomic regions in zygotes. Nature Communications. 7(1). 10431–10431. 260 indexed citations
17.
Tanaka, Takuji, Masahito Shimizu, Takahiro Kochi, et al.. (2014). Apc-Mutant Kyoto Apc Delta (KAD) Rats Are Susceptible to 4-NQO-Induced Tongue Carcinogenesis. Cancers. 6(3). 1522–1539. 7 indexed citations
18.
Yoshimi, Kazuto, Takao Hashimoto, Yusuke Niwa, et al.. (2012). Use of a chemically induced-colon carcinogenesis-prone Apc-mutant rat in a chemotherapeutic bioassay. BMC Cancer. 12(1). 448–448. 19 indexed citations
19.
Mashimo, Tomoji, Akiko Takizawa, Junya Kobayashi, et al.. (2012). Generation and Characterization of Severe Combined Immunodeficiency Rats. Cell Reports. 2(3). 685–694. 58 indexed citations
20.
Yoshimi, Kazuto, Takuji Tanaka, Akiko Takizawa, et al.. (2009). Enhanced colitis‐associated colon carcinogenesis in a novel Apc mutant rat. Cancer Science. 100(11). 2022–2027. 37 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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