K. Harada

1.1k total citations
26 papers, 734 citations indexed

About

K. Harada is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, K. Harada has authored 26 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 13 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in K. Harada's work include Soybean genetics and cultivation (9 papers), Legume Nitrogen Fixing Symbiosis (6 papers) and Phytase and its Applications (4 papers). K. Harada is often cited by papers focused on Soybean genetics and cultivation (9 papers), Legume Nitrogen Fixing Symbiosis (6 papers) and Phytase and its Applications (4 papers). K. Harada collaborates with scholars based in Japan, United States and Sweden. K. Harada's co-authors include John W. Haycock, M. Goldstein, Satoshi Watanabe, Ryoji Takahashi, S. M. Githiri, Jing Wu, Chikafusa Fukazawa, Emanuel Meller, Kazuya Kitamura and J. Lew and has published in prestigious journals such as Journal of Biological Chemistry, Annals of the New York Academy of Sciences and Neuroscience.

In The Last Decade

K. Harada

24 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Harada Japan 17 439 329 124 80 32 26 734
Cameron S. Johnson New Zealand 11 512 1.2× 903 2.7× 87 0.7× 49 0.6× 15 0.5× 16 1.2k
Jiarui Li China 13 326 0.7× 261 0.8× 93 0.8× 35 0.4× 25 0.8× 50 637
F. T. Sharpe United States 11 252 0.6× 273 0.8× 176 1.4× 17 0.2× 22 0.7× 25 635
M.L. Tierney Australia 16 406 0.9× 557 1.7× 248 2.0× 21 0.3× 21 0.7× 30 1.1k
Vijendra Sharma United States 16 290 0.7× 449 1.4× 159 1.3× 51 0.6× 153 4.8× 37 820
Na Young Kang South Korea 10 762 1.7× 533 1.6× 83 0.7× 23 0.3× 31 1.0× 14 986
Hung Chu United States 10 306 0.7× 573 1.7× 124 1.0× 82 1.0× 38 1.2× 18 807
Quan Jiang China 17 659 1.5× 912 2.8× 242 2.0× 100 1.3× 65 2.0× 34 1.5k
S. R. Ramesh India 12 94 0.2× 141 0.4× 124 1.0× 68 0.8× 21 0.7× 43 499
Wan Song United States 9 237 0.5× 402 1.2× 160 1.3× 56 0.7× 37 1.2× 25 585

Countries citing papers authored by K. Harada

Since Specialization
Citations

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

Fields of papers citing papers by K. Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Harada

This figure shows the co-authorship network connecting the top 25 collaborators of K. Harada. A scholar is included among the top collaborators of K. Harada 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 K. Harada. K. Harada 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.
Hayashi, Makoto, Kazuya Kitamura, & K. Harada. (2009). Genetic Mapping of Cgdef Gene Controlling Accumulation of 7S Globulin ( -Conglycinin) Subunits in Soybean Seeds. Journal of Heredity. 100(6). 802–806. 11 indexed citations
2.
Hwang, Tae‐Young, Tetsuro Sayama, Masashi Takahashi, et al.. (2009). High-density Integrated Linkage Map Based on SSR Markers in Soybean. DNA Research. 16(4). 213–225. 118 indexed citations
3.
Matsumura, Hisakazu, Satoshi Watanabe, K. Harada, et al.. (2005). Molecular linkage mapping and phylogeny of the chalcone synthase multigene family in soybean. Theoretical and Applied Genetics. 110(7). 1203–1209. 29 indexed citations
4.
Kikuchi, Akio, Yoshitake Takada, Yumi Kono, et al.. (2004). Genetic improvement of soybean saponins. 2004. 822–829. 1 indexed citations
5.
Kubo, Nakao, Xavier Jordana, Kazuhiro Ozawa, et al.. (2000). Transfer of the mitochondrial rps10 gene to the nucleus in rice: acquisition of the 5′ untranslated region followed by gene duplication. Molecular and General Genetics MGG. 263(4). 733–739. 28 indexed citations
6.
Harada, K., et al.. (2000). Shikonin derivative formation on the stem of cultured shoots in Lithospermum erythrorhizon. Plant Cell Reports. 19(11). 1121–1126. 13 indexed citations
7.
Hossain, Khwaja, H Kawai, Makoto Hayashi, et al.. (2000). Characterization and Identification of (CT)n Microsatellites in Soybean Using Sheared Genomic Libraries. DNA Research. 7(2). 103–110. 11 indexed citations
8.
Haycock, John W., J. Lew, Antonio García‐España, et al.. (1998). Role of Serine‐19 Phosphorylation in Regulating Tyrosine Hydroxylase Studied with Site‐ and Phosphospecific Antibodies and Site‐Directed Mutagenesis. Journal of Neurochemistry. 71(4). 1670–1675. 61 indexed citations
9.
Hayashi, Makoto, K. Harada, Terufumi Fujiwara, & Kazuya Kitamura. (1998). Characterization of a 7S globulin-deficient mutant of soybean (Glycine max (L.) Merrill). Molecular and General Genetics MGG. 258(3). 208–214. 18 indexed citations
10.
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12.
Nomura, Kazuo, Hirofumi Nakano, K. Harada, et al.. (1995). A study of the steroid sulfatase gene in families with X-linked ichthyosis using polymerase chain reaction.. Acta Dermato Venereologica. 75(5). 340–342. 16 indexed citations
13.
Goldstein, M., J. Lew, K. Harada, et al.. (1995). Antibodies to a Segment of Tyrosine Hydroxylase Phosphorylated at Serine 40. Journal of Neurochemistry. 64(5). 2281–2287. 14 indexed citations
14.
Yanagisawa, T., Shigemitsu Tano, Kiichi Fukui, & K. Harada. (1991). Marker chromosomes commonly observed in the genus Glycine. Theoretical and Applied Genetics. 81(5). 606–612. 18 indexed citations
15.
Harada, K., Emanuel Meller, & M. Goldstein. (1990). Effects of pertussis toxin on inhibition of synaptosomal tyrosine hydroxylase activity by apomorphine. European Journal of Pharmacology Molecular Pharmacology. 188(2-3). 123–128. 5 indexed citations
16.
Goldstein, M., K. Harada, Emanuel Meller, Martin Schalling, & T. Hökfelt. (1990). Dopamine Autoreceptorsa Biochemical, Pharmacological, and Morphological Studies. Annals of the New York Academy of Sciences. 604(1). 169–175. 19 indexed citations
17.
Kadowaki, Kohmei, Kazumori Yazaki, Tomoo Osumi, et al.. (1988). Distribution of mitochondrial plasmid-like DNA in cultivated rice (Oryza sativa L.) and its relationship with varietal groups. Theoretical and Applied Genetics. 76(6). 809–814. 21 indexed citations
18.
Kitamura, Kazuya, Akio Kikuchi, & K. Harada. (1987). Research Notes : Performance of near-isogenic lines lacking seed lipoxygenases. Iowa State University Digital Repository (Iowa State University). 1 indexed citations
19.
Fukazawa, Chikafusa, et al.. (1985). Glycinin A3B4 mRNA. Cloning and sequencing of double-stranded cDNA complementary to a soybean storage protein.. Journal of Biological Chemistry. 260(10). 6234–6239. 47 indexed citations
20.
Kitamura, Kazuya, et al.. (1980). Polymorphism of glycinin in soybean seeds. Phytochemistry. 19(8). 1841–1843. 25 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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