Genki Ishihara

1.1k total citations · 1 hit paper
31 papers, 747 citations indexed

About

Genki Ishihara is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Genki Ishihara has authored 31 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in Genki Ishihara's work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Gut microbiota and health (4 papers) and Anesthesia and Neurotoxicity Research (3 papers). Genki Ishihara is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (5 papers), Gut microbiota and health (4 papers) and Anesthesia and Neurotoxicity Research (3 papers). Genki Ishihara collaborates with scholars based in Japan, United States and Hong Kong. Genki Ishihara's co-authors include Susumu Katsuma, Toru Shimada, Hikaru Koga, Takashi Kiuchi, Keisuke Shoji, Shinpei Kawaoka, Munetaka Kawamoto, Masataka G. Suzuki, Yutaka Suzuki and Hiroki Sakai and has published in prestigious journals such as Nature, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Genki Ishihara

29 papers receiving 733 citations

Hit Papers

A single female-specific piRNA is the primary determiner ... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Genki Ishihara Japan 12 420 253 184 147 67 31 747
Frédéric H. Login Denmark 17 452 1.1× 169 0.7× 226 1.2× 69 0.5× 70 1.0× 32 832
Yumin Qi United States 14 515 1.2× 247 1.0× 398 2.2× 201 1.4× 16 0.2× 28 1.1k
He Zhao China 23 457 1.1× 229 0.9× 281 1.5× 787 5.4× 24 0.4× 49 1.5k
Juan Hou China 20 485 1.2× 78 0.3× 72 0.4× 404 2.7× 63 0.9× 67 1.1k
Nathalie Becker France 16 275 0.7× 173 0.7× 361 2.0× 367 2.5× 16 0.2× 31 925
Linghui Xu China 16 608 1.4× 94 0.4× 274 1.5× 714 4.9× 21 0.3× 33 1.3k
J.S. Ryerse United States 13 501 1.2× 342 1.4× 127 0.7× 61 0.4× 30 0.4× 23 822
Hiroaki Abe Japan 23 830 2.0× 435 1.7× 657 3.6× 446 3.0× 172 2.6× 83 1.7k
S. Sridhara India 19 433 1.0× 119 0.5× 211 1.1× 132 0.9× 23 0.3× 78 1.0k

Countries citing papers authored by Genki Ishihara

Since Specialization
Citations

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

Fields of papers citing papers by Genki Ishihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genki Ishihara

This figure shows the co-authorship network connecting the top 25 collaborators of Genki Ishihara. A scholar is included among the top collaborators of Genki Ishihara 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 Genki Ishihara. Genki Ishihara 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.
Matsumoto, Yuki, Claire Chung, Sachiko Isobe, et al.. (2024). Chromosome-scale assembly with improved annotation provides insights into breed-wide genomic structure and diversity in domestic cats. Journal of Advanced Research. 75. 863–874. 2 indexed citations
2.
Tanaka, Miyuu, Mitsuru Kuwamura, Genki Ishihara, et al.. (2024). Generation of footprint-free, high-quality feline induced pluripotent stem cells using Sendai virus vector. Regenerative Therapy. 26. 708–716. 2 indexed citations
3.
Matsumoto, Yuki, et al.. (2023). Genetic dissection of behavioral traits related to successful training of drug detection dogs. Scientific Reports. 13(1). 7326–7326. 3 indexed citations
4.
Tanaka, Miyuu, Mitsuru Kuwamura, Genki Ishihara, et al.. (2023). Generation of canine induced pluripotent stem cells under feeder-free conditions using Sendai virus vector encoding six canine reprogramming factors. Stem Cell Reports. 19(1). 141–157. 9 indexed citations
5.
Matsumoto, Yuki, Kei Watanabe, Masaya Tsuboi, et al.. (2023). Whole exome and transcriptome analysis revealed the activation of ERK and Akt signaling pathway in canine histiocytic sarcoma. Scientific Reports. 13(1). 8512–8512. 4 indexed citations
6.
Shima, Ayaka, et al.. (2023). Pilot evaluation of a single oral fecal microbiota transplantation for canine atopic dermatitis. Scientific Reports. 13(1). 8824–8824. 14 indexed citations
7.
Kuroda, Yudai, Kei Watanabe, Tsukasa Yamamoto, et al.. (2023). Pet Animals Were Infected with SARS-CoV-2 from Their Owners Who Developed COVID-19: Case Series Study. Viruses. 15(10). 2028–2028. 6 indexed citations
8.
Shima, Ayaka, et al.. (2022). A new detection method for canine and feline cancer using the olfactory system of nematodes. Biochemistry and Biophysics Reports. 32. 101332–101332. 4 indexed citations
9.
Yamazaki, Jumpei, Yuki Matsumoto, Jaroslav Jelı́nek, et al.. (2021). DNA methylation landscape of 16 canine somatic tissues by methylation-sensitive restriction enzyme-based next generation sequencing. Scientific Reports. 11(1). 10005–10005. 7 indexed citations
10.
12.
Ishihara, Genki, et al.. (2019). Molecular hydrogen suppresses superoxide generation in the mitochondrial complex I and reduced mitochondrial membrane potential. Biochemical and Biophysical Research Communications. 522(4). 965–970. 38 indexed citations
13.
Tomiyasu, Hirotaka, et al.. (2019). Comprehensive analysis of miRNA and protein profiles within exosomes derived from canine lymphoid tumour cell lines. PLoS ONE. 14(4). e0208567–e0208567. 22 indexed citations
14.
Uchiyama, Jumpei, Hironobu Murakami, Reiichiro Sato, et al.. (2019). Examination of the fecal microbiota in dairy cows infected with bovine leukemia virus. Veterinary Microbiology. 240. 108547–108547. 31 indexed citations
15.
Maeda, Shingo, Hirotaka Tomiyasu, Masaya Tsuboi, et al.. (2018). Comprehensive gene expression analysis of canine invasive urothelial bladder carcinoma by RNA-Seq. BMC Cancer. 18(1). 472–472. 49 indexed citations
16.
Furuhashi, Takeshi, et al.. (2017). Rapid profiling method for mammalian feces short chain fatty acids by GC-MS. Analytical Biochemistry. 543. 51–54. 72 indexed citations
17.
Kiuchi, Takashi, Hikaru Koga, Munetaka Kawamoto, et al.. (2014). A single female-specific piRNA is the primary determiner of sex in the silkworm. Nature. 509(7502). 633–636. 370 indexed citations breakdown →
18.
Ishihara, Genki, et al.. (2014). Functional analysis of antisense long non-coding RNAs transcribed from the Bombyx mori (Lepidoptera: Bombycidae) nucleopolyhedrovirus genome. Applied Entomology and Zoology. 50(2). 155–167. 2 indexed citations
19.
Ishihara, Genki, Toru Shimada, & Susumu Katsuma. (2013). Functional characterization of Bombyx mori nucleopolyhedrovirus CG30 protein. Virus Research. 174(1-2). 52–59. 18 indexed citations
20.
Iwanaga, Masashi, Susumu Katsuma, Genki Ishihara, et al.. (2011). Infection study of Bombyx mori macula-like virus (BmMLV) using a BmMLV-negative cell line and an infectious cDNA clone. Journal of Virological Methods. 179(2). 316–324. 21 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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