Yuji Suehiro

1.1k total citations
25 papers, 668 citations indexed

About

Yuji Suehiro is a scholar working on Molecular Biology, Aging and Genetics. According to data from OpenAlex, Yuji Suehiro has authored 25 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Aging and 7 papers in Genetics. Recurrent topics in Yuji Suehiro's work include Genetics, Aging, and Longevity in Model Organisms (11 papers), CRISPR and Genetic Engineering (10 papers) and Animal Behavior and Reproduction (5 papers). Yuji Suehiro is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (11 papers), CRISPR and Genetic Engineering (10 papers) and Animal Behavior and Reproduction (5 papers). Yuji Suehiro collaborates with scholars based in Japan, United States and Taiwan. Yuji Suehiro's co-authors include Shohei Mitani, Hideaki Takeuchi, Takeo Kubo, Sawako Yoshina, Teruhiro Okuyama, Kiyoshi Naruse, Sayaka Hori, Haruka Imada, Atsuko Shimada and Hiroyuki Takeda and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Yuji Suehiro

25 papers receiving 660 citations

Peers

Yuji Suehiro

AGING

GENET

EEBS

Richard Ikegami Canada

Tracy Yamawaki United States

Kajori Lahiri Germany

Ravi D. Nath United States

Sze Yen Kerk United States

Satoshi Ansai Japan

Juan Fernández Chile

Olivier Mirabeau France

Konstantin G. Iliadi Canada

Douglas Portman United States

Richard Ikegami Canada

Yuji Suehiro

234 ×0.7

58 ×0.4

AGING

58 ×0.6

GENET

50 ×0.5

EEBS

114 ×1.5

Citations per year, relative to Yuji Suehiro Yuji Suehiro (= 1×) peers Richard Ikegami

Countries citing papers authored by Yuji Suehiro

Since Specialization

Citations

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

Fields of papers citing papers by Yuji Suehiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Suehiro

This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Suehiro. A scholar is included among the top collaborators of Yuji Suehiro 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 Yuji Suehiro. Yuji Suehiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Suehiro, Yuji, et al.. (2024). Protocol for forward genetic screening to identify novel factors involved in a biological process in Caenorhabditis elegans. STAR Protocols. 5(2). 103114–103114. 1 indexed citations

Suehiro, Yuji, et al.. (2023). Distinct pathways for export of silencing RNA in Caenorhabditis elegans systemic RNAi. iScience. 26(10). 108067–108067. 7 indexed citations

Dejima, Katsufumi, et al.. (2023). An endomembrane zinc transporter negatively regulates systemic RNAi in Caenorhabditis elegans. iScience. 26(6). 106930–106930. 1 indexed citations

Suehiro, Yuji, Sawako Yoshina, Tomoko Motohashi, et al.. (2021). Efficient collection of a large number of mutations by mutagenesis of DNA damage response defective animals. Scientific Reports. 11(1). 7630–7630. 4 indexed citations

Hori, Sayaka, Shigekazu Oda, Yuji Suehiro, Yuichi Iino, & Shohei Mitani. (2018). OFF-responses of interneurons optimize avoidance behaviors depending on stimulus strength via electrical synapses. PLoS Genetics. 14(6). e1007477–e1007477. 14 indexed citations

Dejima, Katsufumi, Sayaka Hori, Satoru Iwata, et al.. (2018). An Aneuploidy-Free and Structurally Defined Balancer Chromosome Toolkit for Caenorhabditis elegans. Cell Reports. 22(1). 232–241. 56 indexed citations

Zhou, Qinghua, Haimin Li, Akihisa Nakagawa, et al.. (2016). Mitochondrial endonuclease G mediates breakdown of paternal mitochondria upon fertilization. Science. 353(6297). 394–399. 146 indexed citations

Iwata, Satoru, Sawako Yoshina, Yuji Suehiro, Sayaka Hori, & Shohei Mitani. (2016). Engineering new balancer chromosomes in C. elegans via CRISPR/Cas9. Scientific Reports. 6(1). 33840–33840. 24 indexed citations

Yoshina, Sawako, Yuji Suehiro, Eriko Kage‐Nakadai, & Shohei Mitani. (2015). Locus-specific integration of extrachromosomal transgenes in C. elegans with the CRISPR/Cas9 system. SHILAP Revista de lepidopterología. 5. 70–76. 19 indexed citations

10.

Kage‐Nakadai, Eriko, Rieko Imae, Yuji Suehiro, et al.. (2014). A Conditional Knockout Toolkit for Caenorhabditis elegans Based on the Cre/loxP Recombination. PLoS ONE. 9(12). e114680–e114680. 30 indexed citations

11.

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

12.

Ochiai, Takashi, Yuji Suehiro, Katsuhiro Nishinari, Takeo Kubo, & Hideaki Takeuchi. (2013). A New Data-Mining Method to Search for Behavioral Properties That Induce Alignment and Their Involvement in Social Learning in Medaka Fish (Oryzias Latipes). PLoS ONE. 8(9). e71685–e71685. 16 indexed citations

13.

Okuyama, Teruhiro, Yuji Suehiro, Kiyoshi Naruse, et al.. (2013). Controlled Cre/loxP Site-Specific Recombination in the Developing Brain in Medaka Fish, Oryzias latipes. PLoS ONE. 8(6). e66597–e66597. 25 indexed citations

14.

Nishioka, M., Koji Ueno, Shoichi Hazama, et al.. (2011). Possible involvement of Wnt11 in colorectal cancer progression. Molecular Carcinogenesis. 52(3). 207–217. 47 indexed citations

15.

Imada, Haruka, Yuji Suehiro, Teruhiro Okuyama, et al.. (2010). Coordinated and Cohesive Movement of Two Small Conspecific Fish Induced by Eliciting a Simultaneous Optomotor Response. PLoS ONE. 5(6). e11248–e11248. 36 indexed citations

16.

Okuyama, Teruhiro, Yuji Suehiro, Haruka Imada, et al.. (2010). Induction of c-fos transcription in the medaka brain (Oryzias latipes) in response to mating stimuli. Biochemical and Biophysical Research Communications. 404(1). 453–457. 27 indexed citations

17.

Okuyama, Teruhiro, Yuji Suehiro, Haruka Imada, et al.. (2010). Proliferation zones in adult medaka (Oryzias latipes) brain. Brain Research. 1323. 33–40. 41 indexed citations

18.

Suehiro, Yuji, Masato Kinoshita, Teruhiro Okuyama, et al.. (2010). Transient and permanent gene transfer into the brain of the teleost fish medaka (Oryzias latipes) using human adenovirus and the Cre‐loxP system. FEBS Letters. 584(16). 3545–3549. 8 indexed citations

19.

Suehiro, Yuji, Akikazu Yasuda, Teruhiro Okuyama, et al.. (2008). Mass spectrometric map of neuropeptide expression and analysis of the γ-prepro-tachykinin gene expression in the medaka (Oryzias latipes) brain. General and Comparative Endocrinology. 161(1). 138–145. 17 indexed citations

20.

Hatanaka, Takeshi, et al.. (2000). Electrophysiological studies of a child with presumed botulism. Child s Nervous System. 16(2). 84–86. 1 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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