Yasuhiro Go

2.1k total citations
52 papers, 1.2k citations indexed

About

Yasuhiro Go is a scholar working on Molecular Biology, Nutrition and Dietetics and Genetics. According to data from OpenAlex, Yasuhiro Go has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Nutrition and Dietetics and 12 papers in Genetics. Recurrent topics in Yasuhiro Go's work include Biochemical Analysis and Sensing Techniques (11 papers), Olfactory and Sensory Function Studies (11 papers) and Primate Behavior and Ecology (7 papers). Yasuhiro Go is often cited by papers focused on Biochemical Analysis and Sensing Techniques (11 papers), Olfactory and Sensory Function Studies (11 papers) and Primate Behavior and Ecology (7 papers). Yasuhiro Go collaborates with scholars based in Japan, United States and Kenya. Yasuhiro Go's co-authors include Youichi Niimura, Yoko Satta, Hiroo Imai, Takashi Hayakawa, Hirohisa Hirai, Akihiro Matsui, Naoyuki Takahata, Osamu Takenaka, Naoki Koyama and Atsushi Matsui and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Comparative Neurology.

In The Last Decade

Yasuhiro Go

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuhiro Go Japan 20 500 393 366 210 155 52 1.2k
Tatsuya Tsukahara Japan 14 555 1.1× 141 0.4× 321 0.9× 70 0.3× 137 0.9× 20 1.2k
Alain Robichon France 15 409 0.8× 181 0.5× 162 0.4× 441 2.1× 568 3.7× 49 1.3k
Tomonari Hayama Japan 21 458 0.9× 270 0.7× 207 0.6× 111 0.5× 293 1.9× 48 1.1k
Yoshihito Niimura Japan 20 654 1.3× 1.1k 2.9× 1.4k 3.9× 397 1.9× 1.2k 7.6× 36 2.5k
Lijun Kang China 18 506 1.0× 45 0.1× 155 0.4× 101 0.5× 390 2.5× 43 1.3k
Wendy E. Grus United States 9 164 0.3× 273 0.7× 337 0.9× 99 0.5× 278 1.8× 9 603
Toyoyuki Takada Japan 17 390 0.8× 134 0.3× 144 0.4× 383 1.8× 181 1.2× 37 1.1k
Zhihua Zou China 20 255 0.5× 95 0.2× 127 0.3× 288 1.4× 255 1.6× 44 1.2k
Robert B. Norgren United States 21 581 1.2× 56 0.1× 80 0.2× 246 1.2× 346 2.2× 50 1.4k
Noëlle D. L’Étoile United States 19 661 1.3× 39 0.1× 125 0.3× 176 0.8× 338 2.2× 30 1.4k

Countries citing papers authored by Yasuhiro Go

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Go

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Go. A scholar is included among the top collaborators of Yasuhiro Go 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 Yasuhiro Go. Yasuhiro Go 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.
Go, Yasuhiro. (2025). Neural circuit research using molecular barcode technology. Neuroscience Research. 214. 3–8. 1 indexed citations
2.
Kinoshita, Gohta, Masashi Harada, Shoji Tatsumoto, et al.. (2025). Population genetic structure of 2 mole species (Mogera imaizumii and M. wogura) in the Japanese Archipelago. Journal of Mammalogy. 106(3). 576–586.
3.
Hayakawa, Takashi, Takushi Kishida, Yasuhiro Go, et al.. (2025). Genome-scale evolution in local populations of wild chimpanzees. Scientific Reports. 15(1). 548–548.
4.
Matsumoto, Jumpei, Takaaki Kaneko, Kei Kimura, et al.. (2025). Three-dimensional markerless motion capture of multiple freely behaving monkeys toward automated characterization of social behavior. Science Advances. 11(26). eadn1355–eadn1355.
5.
Yamaguchi, Muneo, Shintaro Nakao, Mitsuru Arima, et al.. (2024). Heterotypic macrophages/microglia differentially contribute to retinal ischaemia and neovascularisation. Diabetologia. 67(10). 2329–2345. 13 indexed citations
6.
Ji, Yu, et al.. (2024). A predisposed motor bias shapes individuality in vocal learning. Proceedings of the National Academy of Sciences. 121(3). e2308837121–e2308837121. 3 indexed citations
7.
Go, Yasuhiro, et al.. (2024). Expansion of learning capacity elicited by interspecific hybridization. Science Advances. 10(25). eadn3409–eadn3409.
8.
Go, Yasuhiro, et al.. (2024). A method to analyze gene expression profiles from hippocampal neurons electrophysiologically recorded in vivo. Frontiers in Neuroscience. 18. 1360432–1360432. 2 indexed citations
9.
Labuguen, Rollyn, Jumpei Matsumoto, Hiroshi Nishimaru, et al.. (2021). MacaquePose: A Novel “In the Wild” Macaque Monkey Pose Dataset for Markerless Motion Capture. Frontiers in Behavioral Neuroscience. 14. 581154–581154. 58 indexed citations
10.
Kishida, Takushi, et al.. (2020). Population history and genomic admixture of sea snakes of the genus Laticauda in the West Pacific. Molecular Phylogenetics and Evolution. 155. 107005–107005. 9 indexed citations
11.
Ishishita, Satoshi, Shoji Tatsumoto, Keiji Kinoshita, et al.. (2020). Transcriptome analysis revealed misregulated gene expression in blastoderms of interspecific chicken and Japanese quail F1 hybrids. PLoS ONE. 15(10). e0240183–e0240183.
12.
Ishishita, Satoshi, Katsushi Yamaguchi, Keiji Kinoshita, et al.. (2018). Nonsense mutation in PMEL is associated with yellowish plumage colour phenotype in Japanese quail. Scientific Reports. 8(1). 16732–16732. 22 indexed citations
13.
Tatsumoto, Shoji, Yasuhiro Go, Hideki Noguchi, et al.. (2017). Direct estimation of de novo mutation rates in a chimpanzee parent-offspring trio by ultra-deep whole genome sequencing. Scientific Reports. 7(1). 13561–13561. 31 indexed citations
14.
Hayakawa, Takashi, et al.. (2016). The life history of retrocopies illuminates the evolution of new mammalian genes. Genome Research. 26(3). 301–314. 85 indexed citations
15.
Hayakawa, Takashi, Atsushi Matsui, Yasuhiro Go, et al.. (2015). Rapid Expansion of Phenylthiocarbamide Non-Tasters among Japanese Macaques. PLoS ONE. 10(7). e0132016–e0132016. 10 indexed citations
16.
Fukuda, Kei, Kenji Ichiyanagi, Yoichi Yamada, et al.. (2013). Regional DNA methylation differences between humans and chimpanzees are associated with genetic changes, transcriptional divergence and disease genes. Journal of Human Genetics. 58(7). 446–454. 21 indexed citations
17.
Hayakawa, Takashi, Tohru Sugawara, Yasuhiro Go, et al.. (2012). Eco-Geographical Diversification of Bitter Taste Receptor Genes (TAS2Rs) among Subspecies of Chimpanzees (Pan troglodytes). PLoS ONE. 7(8). e43277–e43277. 20 indexed citations
18.
Go, Yasuhiro & Youichi Niimura. (2008). Similar Numbers but Different Repertoires of Olfactory Receptor Genes in Humans and Chimpanzees. Molecular Biology and Evolution. 25(9). 1897–1907. 81 indexed citations
19.
20.

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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