Go Suzuki

4.2k total citations
88 papers, 3.0k citations indexed

About

Go Suzuki is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Go Suzuki has authored 88 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Plant Science, 69 papers in Molecular Biology and 30 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Go Suzuki's work include Plant Reproductive Biology (54 papers), Plant Molecular Biology Research (41 papers) and Plant and animal studies (27 papers). Go Suzuki is often cited by papers focused on Plant Reproductive Biology (54 papers), Plant Molecular Biology Research (41 papers) and Plant and animal studies (27 papers). Go Suzuki collaborates with scholars based in Japan, Australia and South Korea. Go Suzuki's co-authors include Masao Watanabe, Akira Isogai, Kokichi Hinata, Seiji Takayama, Katsunori Hatakeyama, Hiroshi Shiba, Takeshi Takasaki, Keita Suwabe, Yasuhiko Mukai and Megumi Iwano and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Go Suzuki

87 papers receiving 3.0k citations

Peers

Go Suzuki

EEBS

GENET

NLC

Ramin Yadegari United States

Stefanie Sprunck Germany

Eva Sundberg Sweden

Glyn Jenkins United Kingdom

Paula E. Ralph United States

Sharon A. Kessler United States

Ken–Ichi Nonomura Japan

Andrew G. McCubbin United States

Linda Margossian United States

Hans de Jong Netherlands

Ramin Yadegari United States

Go Suzuki

3.5k ×1.4

2.9k ×1.2

392 ×0.3

EEBS

505 ×3.0

GENET

40 ×0.7

NLC

Citations per year, relative to Go Suzuki Go Suzuki (= 1×) peers Ramin Yadegari

Countries citing papers authored by Go Suzuki

Since Specialization

Citations

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

Fields of papers citing papers by Go Suzuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Go Suzuki. A scholar is included among the top collaborators of Go Suzuki 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 Go Suzuki. Go Suzuki 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

Takada, Yoshinobu, T. Okamoto, Kohji Murase, et al.. (2023). MLPK function is not required for self-incompatibility in the S29 haplotype of Brassica rapa L.. Plant Reproduction. 36(3). 255–262. 4 indexed citations

Takada, Yoshinobu, Yuhui He, Seongmin Hong, et al.. (2021). Genetic Diversity of Genes Controlling Unilateral Incompatibility in Japanese Cultivars of Chinese Cabbage. Plants. 10(11). 2467–2467. 5 indexed citations

Kobayashi, Masanori, et al.. (2019). Construction of a bacterial artificial chromosome library of Endoclita excrescens as a tool for comparative gene mapping in Lepidoptera. Entomological Science. 22(2). 167–172. 2 indexed citations

Rabiger, David S., Jennifer M. Taylor, Andrew Spriggs, et al.. (2016). Generation of an integrated Hieracium genomic and transcriptomic resource enables exploration of small RNA pathways during apomixis initiation. BMC Biology. 14(1). 86–86. 18 indexed citations

Wada, Yuko, Tomohiro Kakizaki, Yoshiaki Tarutani, et al.. (2016). A complex dominance hierarchy is controlled by polymorphism of small RNAs and their targets. Nature Plants. 3(1). 16206–16206. 38 indexed citations

Suzuki, Go, et al.. (2012). Cellular localization of mitotic RAD21 with repetitive amino acid motifs in Allium cepa. Gene. 514(2). 75–81. 3 indexed citations

Aya, Koichiro, Go Suzuki, Keita Suwabe, et al.. (2011). Comprehensive Network Analysis of Anther-Expressed Genes in Rice by the Combination of 33 Laser Microdissection and 143 Spatiotemporal Microarrays. PLoS ONE. 6(10). e26162–e26162. 51 indexed citations

Koltunow, Anna M., Susan D. Johnson, Júlio Carlyle Macedo Rodrigues, et al.. (2011). Sexual reproduction is the default mode in apomictic Hieracium subgenus Pilosella, in which two dominant loci function to enable apomixis. The Plant Journal. 66(5). 890–902. 85 indexed citations

Nagaki, Kiyotaka, et al.. (2011). Coexistence of NtCENH3 and two retrotransposons in tobacco centromeres. Chromosome Research. 19(5). 591–605. 16 indexed citations

10.

Suzuki, Go, et al.. (2010). Characterization of CDC48 in Allium cepa. Chromosome science. 13(1). 27–29. 1 indexed citations

11.

Tsuchimatsu, Takashi, Keita Suwabe, Rie Shimizu‐Inatsugi, et al.. (2010). Evolution of self-compatibility in Arabidopsis by a mutation in the male specificity gene. Nature. 464(7293). 1342–1346. 110 indexed citations

12.

Suzuki, Go. (2009). Recent Progress in Plant Reproduction Research: The Story of the Male Gametophyte through to Successful Fertilization. Plant and Cell Physiology. 50(11). 1857–1864. 35 indexed citations

13.

Suwabe, Keita, Go Suzuki, Hirokazu Takahashi, et al.. (2008). Separated Transcriptomes of Male Gametophyte and Tapetum in Rice: Validity of a Laser Microdissection (LM) Microarray. Plant and Cell Physiology. 49(10). 1407–1416. 93 indexed citations

14.

Nakano, Akiko, et al.. (2005). Rearrangements of large-insert T-DNAs in transgenic rice. Molecular Genetics and Genomics. 273(2). 123–129. 20 indexed citations

15.

Hatakeyama, Katsunori, Takeshi Takasaki, Go Suzuki, et al.. (2001). The S receptor kinase gene determines dominance relationships in stigma expression of self‐incompatibility in Brassica. The Plant Journal. 26(1). 69–76. 48 indexed citations

16.

Takayama, Seiji, Hiroshi Shiba, Megumi Iwano, et al.. (2000). The pollen determinant of self-incompatibility in Brassica campestris. Proceedings of the National Academy of Sciences. 97(4). 1920–1925. 335 indexed citations

17.

Watanabe, Masao, Go Suzuki, Katsunori Hatakeyama, Akira Isogai, & Kokichi Hinata. (1999). Molecular Biology of Self-incompatibility in Brassica Species.. Plant Biotechnology. 16(4). 263–272. 2 indexed citations

18.

Suzuki, Go, Masao Watanabe, Nobuyuki Matsuda, et al.. (1997). Three members of the S multigene family are linked to the S locus of Brassica. Molecular and General Genetics MGG. 256(3). 257–264. 19 indexed citations

19.

Suzuki, Go, Masao Watanabe, Kinya Toriyama, Akira Isogai, & Kokichi Hinata. (1997). Direct cloning of the Brassica S locus by using a P1-derived artificial chromosome (PAC) vector. Gene. 199(1-2). 133–137. 17 indexed citations

20.

Suzuki, Go, Masao Watanabe, Kinya Toriyama, Akira Isogai, & Kokichi Hinata. (1996). EXPRESSION OF SLG^9 AND SRK^9 GENOMIC CLONES IN TRANSGENIC TOBACCO. Plant and Cell Physiology. 37. 116. 3 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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