Mio Kikuchi

631 total citations
49 papers, 476 citations indexed

About

Mio Kikuchi is a scholar working on Genetics, Molecular Biology and Equine. According to data from OpenAlex, Mio Kikuchi has authored 49 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 25 papers in Molecular Biology and 11 papers in Equine. Recurrent topics in Mio Kikuchi's work include CRISPR and Genetic Engineering (16 papers), Animal Genetics and Reproduction (15 papers) and Genetic and phenotypic traits in livestock (14 papers). Mio Kikuchi is often cited by papers focused on CRISPR and Genetic Engineering (16 papers), Animal Genetics and Reproduction (15 papers) and Genetic and phenotypic traits in livestock (14 papers). Mio Kikuchi collaborates with scholars based in Japan, United States and Norway. Mio Kikuchi's co-authors include Teruaki Tozaki, Hironaga Kakoi, Shun-ichi NAGATA, Kei-ichi HIROTA, Kanichi Kusano, Taichiro Ishige, Masaki Takasu, Shinji Üemoto, Satohiro Masuda and Yasuhiro Fujimoto and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Mio Kikuchi

44 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mio Kikuchi Japan 13 261 245 53 49 45 49 476
Agnieszka Kowalska Poland 10 86 0.3× 92 0.4× 33 0.6× 32 0.7× 28 309
Carol J. Belfiore United States 8 108 0.4× 31 0.1× 16 0.3× 18 0.4× 13 312
Natsuko Nagamine Japan 13 127 0.5× 145 0.6× 6 0.1× 126 2.6× 20 456
Yi Vee Chew Australia 10 48 0.2× 141 0.6× 4 0.1× 26 0.6× 19 332
Motoyoshi Sato Japan 12 9 0.0× 123 0.5× 10 0.2× 12 0.2× 7 0.2× 44 399
Balázs Bender Hungary 12 39 0.1× 151 0.6× 6 0.1× 4 0.1× 1 0.0× 15 333
V. A. Gurevich Australia 7 49 0.2× 142 0.6× 6 0.1× 5 0.1× 14 341
T Heath Australia 15 23 0.1× 55 0.2× 18 0.3× 7 0.1× 32 412
Jennifer Hess United States 7 48 0.2× 80 0.3× 17 0.3× 1 0.0× 16 366
Candis Fleishman United States 7 219 0.8× 18 0.1× 7 0.1× 94 1.9× 9 401

Countries citing papers authored by Mio Kikuchi

Since Specialization
Citations

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

Fields of papers citing papers by Mio Kikuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mio Kikuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Mio Kikuchi. A scholar is included among the top collaborators of Mio 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 Mio Kikuchi. Mio 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.
Shinoda, Hajime, Asami Makino, Tatsuya Iida, et al.. (2025). Direct Single-Molecule Detection of mRNA–LNP Drugs in Blood. Analytical Chemistry. 98(1). 756–765.
2.
Tozaki, Teruaki, Mio Kikuchi, Taichiro Ishige, et al.. (2025). Detection using chamber digital PCR with a DNA extraction-free method for gene-doping control. Forensic Science International. 374. 112545–112545.
3.
Tozaki, Teruaki, Keijiro Mizukami, Yusuke Iwasaki, et al.. (2025). Mutation rate and spectrum of germline de novo mutations in a closed population of Thoroughbred horses. Journal of Equine Veterinary Science. 154. 105682–105682. 1 indexed citations
4.
Tozaki, Teruaki, Mio Kikuchi, Taichiro Ishige, et al.. (2024). A method for detecting gene doping in horse sports without DNA extraction. Drug Testing and Analysis. 17(3). 427–435. 4 indexed citations
5.
Tozaki, Teruaki, Mio Kikuchi, Taichiro Ishige, et al.. (2023). Short Insertion and Deletion Discoveries via Whole-Genome Sequencing of 101 Thoroughbred Racehorses. Genes. 14(3). 638–638. 4 indexed citations
6.
Kakoi, Hironaga, et al.. (2023). Monitoring the positive conversion of anti-erythrocyte antibodies in blood transfusion donor horses. Journal of Equine Science. 34(2). 47–49.
7.
Ishige, Taichiro, Mio Kikuchi, Hironaga Kakoi, et al.. (2023). Evaluation of parentage testing using single nucleotide polymorphism markers for draft horses in Japan. Animal Science Journal. 94(1). e13854–e13854. 1 indexed citations
8.
Tozaki, Teruaki, Mio Kikuchi, Taichiro Ishige, et al.. (2023). Construction of an individual identification panel for horses using insertion and deletion markers. Journal of Equine Science. 34(3). 83–92. 1 indexed citations
9.
Kikuchi, Mio, Taichiro Ishige, Kei-ichi HIROTA, et al.. (2023). Identification of Potential miRNA Biomarkers to Detect Hydrocortisone Administration in Horses. International Journal of Molecular Sciences. 24(19). 14515–14515. 1 indexed citations
10.
Tozaki, Teruaki, et al.. (2023). Use of whole‐genome variants and their frequency data to estimate haplotype structure in the Thoroughbred genome. Animal Genetics. 54(5). 662–663. 1 indexed citations
11.
12.
Tozaki, Teruaki, Mio Kikuchi, Taichiro Ishige, et al.. (2021). Rare and common variant discovery by whole-genome sequencing of 101 Thoroughbred racehorses. Scientific Reports. 11(1). 16057–16057. 21 indexed citations
13.
Tozaki, Teruaki, Masaki Takasu, Mio Kikuchi, et al.. (2020). Detection of non-targeted transgenes by whole-genome resequencing for gene-doping control. Gene Therapy. 28(3-4). 199–205. 20 indexed citations
14.
Tozaki, Teruaki, Takeshi Miyake, Mio Kikuchi, et al.. (2019). Heritability estimates of fractures in Japanese Thoroughbred racehorses using a non‐linear model. Journal of Animal Breeding and Genetics. 136(3). 199–204. 3 indexed citations
15.
Tozaki, Teruaki, Mio Kikuchi, Hironaga Kakoi, et al.. (2018). Digital PCR detection of plasmid DNA administered to the skeletal muscle of a microminipig: a model case study for gene doping detection. BMC Research Notes. 11(1). 708–708. 28 indexed citations
16.
Tozaki, Teruaki, Mio Kikuchi, Hironaga Kakoi, et al.. (2018). Detection of phosphorothioated (PS) oligonucleotides in horse plasma using a product ion (m/z 94.9362) derived from the PS moiety for doping control. BMC Research Notes. 11(1). 770–770. 14 indexed citations
17.
18.
Uesugi, Miwa, Mio Kikuchi, Haruka Shinke, et al.. (2014). Impact of cytochrome P450 3A5 polymorphism in graft livers on the frequency of acute cellular rejection in living-donor liver transplantation. Pharmacogenetics and Genomics. 24(7). 356–366. 23 indexed citations
19.
Shinke, Haruka, Miwa Uesugi, Mio Kikuchi, et al.. (2014). Urinary Neutrophil Gelatinase-Associated Lipocalin: A Useful Biomarker for Tacrolimus-Induced Acute Kidney Injury in Liver Transplant Patients. PLoS ONE. 9(10). e110527–e110527. 32 indexed citations
20.
Kikuchi, Mio, Noriyuki Kitamoto, & Kazuo Shishido. (2004). Secretory production of Aspergillus oryzae xylanase XynF1, xynF1 cDNA product, in the basidiomycete Coprinus cinereus. Applied Microbiology and Biotechnology. 63(6). 728–733. 8 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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