Go Takeba

1.8k total citations
50 papers, 1.4k citations indexed

About

Go Takeba is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Go Takeba has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Plant Science, 30 papers in Molecular Biology and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Go Takeba's work include Plant nutrient uptake and metabolism (14 papers), Plant tissue culture and regeneration (12 papers) and Plant Molecular Biology Research (10 papers). Go Takeba is often cited by papers focused on Plant nutrient uptake and metabolism (14 papers), Plant tissue culture and regeneration (12 papers) and Plant Molecular Biology Research (10 papers). Go Takeba collaborates with scholars based in Japan and North Korea. Go Takeba's co-authors include Akiko Kozaki, Takashi Shiina, Yuichi Tsunoyama, Yoko Ishizaki, Yoichi Nakahira, Atsushi Sakamoto, Haruhiko Teramoto, Kunisuke Tanaka, T. Toyama and Daisuke Shibata and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLANT PHYSIOLOGY.

In The Last Decade

Go Takeba

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Go Takeba Japan 17 1.1k 927 102 101 66 50 1.4k
Raymond E. Zielinski United States 29 1.7k 1.5× 1.3k 1.4× 53 0.5× 60 0.6× 110 1.7× 64 2.2k
Susanne Somersalo Finland 16 1.3k 1.1× 654 0.7× 43 0.4× 95 0.9× 87 1.3× 24 1.5k
N. P. A. Hüner Canada 15 679 0.6× 621 0.7× 129 1.3× 153 1.5× 128 1.9× 30 1.0k
Enrique López‐Juez United Kingdom 25 1.8k 1.6× 2.0k 2.2× 227 2.2× 124 1.2× 92 1.4× 39 2.6k
Simon Driscoll United Kingdom 16 879 0.8× 556 0.6× 41 0.4× 111 1.1× 40 0.6× 17 1.1k
Antonio F. Monroy Canada 16 1.2k 1.1× 797 0.9× 52 0.5× 43 0.4× 36 0.5× 20 1.5k
R. E. Cleland United States 15 1.5k 1.3× 762 0.8× 32 0.3× 61 0.6× 102 1.5× 26 1.7k
Alexandra Florian Germany 22 1.2k 1.0× 1.3k 1.4× 139 1.4× 103 1.0× 35 0.5× 27 1.7k
Sari A. Ruuska United States 15 1.7k 1.5× 1.4k 1.5× 143 1.4× 184 1.8× 61 0.9× 18 2.4k
Robert T. Giaquinta United States 28 2.1k 1.8× 881 1.0× 63 0.6× 109 1.1× 172 2.6× 41 2.4k

Countries citing papers authored by Go Takeba

Since Specialization
Citations

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

Fields of papers citing papers by Go Takeba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Takeba

This figure shows the co-authorship network connecting the top 25 collaborators of Go Takeba. A scholar is included among the top collaborators of Go Takeba 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 Takeba. Go Takeba 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.
Ishizaki, Yoko, Yuichi Tsunoyama, Kyoko Hatano, et al.. (2005). A nuclear‐encoded sigma factor, Arabidopsis SIG6, recognizes sigma‐70 type chloroplast promoters and regulates early chloroplast development in cotyledons. The Plant Journal. 42(2). 133–144. 149 indexed citations
2.
Soga, Kouichi, et al.. (2003). Hypergravity-induced changes in gene expression in Arabidopsis hypocotyls. Advances in Space Research. 31(10). 2187–2193. 29 indexed citations
3.
Toyama, T., Haruhiko Teramoto, Sumie Ishiguro, et al.. (1999). A Cytokinin-Repressed Gene in Cucumber for a bHLH Protein Homologue is Regulated by Light. Plant and Cell Physiology. 40(10). 1087–1092. 7 indexed citations
4.
Takahashi, Hiroyuki, et al.. (1997). The nitrate reductase gene isolated from DNA of cultured spinach cells. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1338(2). 151–155. 3 indexed citations
5.
Toyama, T., Haruhiko Teramoto, & Go Takeba. (1996). The Level of mRNA Transcribed from psaL, Which Encodes a Subunit of Photosystem I, Is Increased by Cytokinin in Darkness in Etiolated Cotyledons of Cucumber. Plant and Cell Physiology. 37(7). 1038–1041. 13 indexed citations
6.
Teramoto, Haruhiko, T. Toyama, Go Takeba, & Hideo Tsuji. (1996). Noncoding RNA for CR20, a cytokinin-repressed gene of cucumber. Plant Molecular Biology. 32(5). 797–808. 28 indexed citations
7.
Teramoto, Haruhiko, Eiichi Momotani, Go Takeba, & Hideo Tsuji. (1996). Isolation and characterisation of cDNAs for cytokinin-repressed genes. Plant Growth Regulation. 18(1-2). 59–70. 1 indexed citations
8.
Teramoto, Haruhiko, T. Toyama, Go Takeba, & Hideo Tsuji. (1995). Changes in expression of two cytokinin-repressed genes, CR9 and CR20, in relation to aging, greening and wounding in cucumber. Planta. 196(2). 13 indexed citations
9.
Teramoto, Haruhiko, Eiichi Momotani, Go Takeba, & Hideo Tsuji. (1994). Isolation of a cDNA clone for a cytokinin-repressed gene in excised cucumber cotyledons. Planta. 193(4). 573–579. 19 indexed citations
10.
Kozaki, Akiko, et al.. (1991). A Polypeptide That Induces Flowering in Lemna paucicostata at a Very Low Concentration. PLANT PHYSIOLOGY. 95(4). 1288–1290. 6 indexed citations
11.
Tanaka, Osamu, et al.. (1991). Flowering Induced by Nitrogen Deficiency in <italic>Lemna paucicostata</italic> 151. Plant and Cell Physiology. 11 indexed citations
12.
Sakamoto, Atsushi, Go Takeba, Daisuke Shibata, & Kunisuke Tanaka. (1990). Phytochrome-mediated activation of the gene for cytosolic glutamine-synthetase (GS1) during imbibition of photosensitive lettuce seeds. Plant Molecular Biology. 15(2). 317–323. 24 indexed citations
13.
Yoshikawa, Masaaki, et al.. (1990). Molecular Cloning and Ethylene Induction of mRNA Encoding a Phytoalexin Elicitor-Releasing Factor, β-1,3-Endoglucanase, in Soybean. PLANT PHYSIOLOGY. 93(2). 673–682. 91 indexed citations
14.
Sakamoto, Atsushi, Masahiro Ogawa, Takehiro Masumura, et al.. (1989). Three cDNA sequences coding for glutamine synthetase polypeptides in Oryza sativa L.. Plant Molecular Biology. 13(5). 611–614. 64 indexed citations
15.
Masumura, Takehiro, Daisuke Shibata, Takashi Hibino, et al.. (1989). cDNA cloning of an mRNA encoding a sulfur-rich 10 kDa prolamin polypeptide in rice seeds. Plant Molecular Biology. 12(2). 123–130. 46 indexed citations
16.
Takeba, Go. (1980). Changes revealed by a tracer technique in the amino acid metabolism of thermodormant and non-dormant New York lettuce seeds. Plant and Cell Physiology. 21(8). 1627–1638. 7 indexed citations
17.
18.
Takeba, Go. (1980). Phytochrome-mediated accumulation of free amino acids in embryonic axes of New York lettuce seeds. Plant and Cell Physiology. 21(8). 1651–1656. 14 indexed citations
19.
20.
Takeba, Go & Atsushi Takimoto. (1966). Translocation of the Floral Stimulus in Pharbitis nil. Shokubutsugaku Zasshi. 79(942). 811–814. 11 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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