Kakoto Yoshida

2.2k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

Kakoto Yoshida is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Kakoto Yoshida has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Plant Science and 2 papers in Ecology. Recurrent topics in Kakoto Yoshida's work include Plant Molecular Biology Research (3 papers), Plant Stress Responses and Tolerance (2 papers) and Glycogen Storage Diseases and Myoclonus (1 paper). Kakoto Yoshida is often cited by papers focused on Plant Molecular Biology Research (3 papers), Plant Stress Responses and Tolerance (2 papers) and Glycogen Storage Diseases and Myoclonus (1 paper). Kakoto Yoshida collaborates with scholars based in Japan, United Kingdom and Philippines. Kakoto Yoshida's co-authors include Ryohei Terauchi, Hideo Matsumura, Kentaro Yoshida, Hiroyuki Kanzaki, Sophien Kamoun, Hiroki Takagi, Satoshi Natsume, Akira Abe, Muluneh Tamiru and Chikako Mitsuoka and has published in prestigious journals such as Nature Biotechnology, The Plant Cell and New Phytologist.

In The Last Decade

Kakoto Yoshida

9 papers receiving 1.5k citations

Hit Papers

Genome sequencing reveals agronomically important loci in... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kakoto Yoshida Japan 6 1.3k 652 358 178 45 9 1.5k
Leah K. McHale United States 25 2.3k 1.8× 628 1.0× 358 1.0× 274 1.5× 9 0.2× 72 2.6k
Richard M. Manshardt United States 21 1.3k 1.0× 744 1.1× 186 0.5× 48 0.3× 27 0.6× 60 1.5k
V. Rani India 10 893 0.7× 743 1.1× 130 0.4× 151 0.8× 28 0.6× 13 1.1k
Theresa Hill United States 21 1.8k 1.3× 1.3k 1.9× 203 0.6× 60 0.3× 17 0.4× 32 2.1k
Tatiana V. Danilova United States 21 1.4k 1.0× 424 0.7× 279 0.8× 98 0.6× 37 0.8× 37 1.5k
Jeong‐Hwan Mun South Korea 24 1.7k 1.3× 984 1.5× 173 0.5× 88 0.5× 25 0.6× 63 2.1k
Andrew Baumgarten United States 8 2.1k 1.6× 1.3k 2.1× 234 0.7× 134 0.8× 10 0.2× 9 2.5k
G. A. Churchill United States 4 1.2k 0.9× 291 0.4× 616 1.7× 90 0.5× 21 0.5× 6 1.4k
Lorenzo Barchi Italy 25 1.3k 1.0× 547 0.8× 487 1.4× 161 0.9× 8 0.2× 55 1.6k
Sunil Archak India 15 534 0.4× 291 0.4× 230 0.6× 59 0.3× 21 0.5× 51 794

Countries citing papers authored by Kakoto Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Kakoto Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kakoto Yoshida

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

All Works

9 of 9 papers shown
1.
Tamiru, Muluneh, Jerwin R. Undan, Hiroki Takagi, et al.. (2015). A cytochrome P450, OsDSS1, is involved in growth and drought stress responses in rice (Oryza sativa L.). Plant Molecular Biology. 88(1-2). 85–99. 102 indexed citations
2.
Natsume, Satoshi, Hiroki Takagi, Akira Shiraishi, et al.. (2014). The Draft Genome of Hop (Humulus lupulus), an Essence for Brewing. Plant and Cell Physiology. 56(3). 428–441. 84 indexed citations
3.
Tamiru, Muluneh, Akira Abe, Hiroe Utsushi, et al.. (2013). The tillering phenotype of the rice plastid terminal oxidase (PTOX) loss‐of‐function mutant is associated with strigolactone deficiency. New Phytologist. 202(1). 116–131. 26 indexed citations
4.
Abe, Akira, Shunichi Kosugi, Kentaro Yoshida, et al.. (2012). Genome sequencing reveals agronomically important loci in rice using MutMap. Nature Biotechnology. 30(2). 174–178. 939 indexed citations breakdown →
5.
Undan, Jerwin R., Muluneh Tamiru, Akira Abe, et al.. (2012). Mutation in <i>OsLMS</i>, a gene encoding a protein with two double-stranded RNA binding motifs, causes lesion mimic phenotype and early senescence in rice (<i>Oryza sativa</i> L.). Genes & Genetic Systems. 87(3). 169–179. 28 indexed citations
6.
Yoshida, Kentaro, Hiromasa Saitoh, Shizuko Fujisawa, et al.. (2009). Association Genetics Reveals Three Novel Avirulence Genes from the Rice Blast Fungal Pathogen Magnaporthe oryzae  . The Plant Cell. 21(5). 1573–1591. 321 indexed citations
7.
Moriguchi, Kazuki, et al.. (2000). Genome structure of Ri plasmid (3). Sequencing analysis of the vir region of pRi1724 in Japanese Agrobacterium rhizogenes. Nucleic Acids Symposium Series. 44(1). 95–96. 4 indexed citations
8.
Fujita, Yuki, Naotaka Ogasawara, Yoshito Sadaie, et al.. (1999). [The genome of Bacillus subtilis and the features of its genes].. PubMed. 44(10). 1449–59. 1 indexed citations
9.
Yoshida, Kakoto & N Yanagisawa. (1995). [beta-galactosidosis--GM1 gangliosidosis and Morquio B disease].. PubMed. 53(12). 2960–6. 2 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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