Naoki Yamanaka

2.9k total citations
53 papers, 2.1k citations indexed

About

Naoki Yamanaka is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Naoki Yamanaka has authored 53 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 35 papers in Molecular Biology and 12 papers in Cell Biology. Recurrent topics in Naoki Yamanaka's work include Yeasts and Rust Fungi Studies (31 papers), Plant Pathogens and Resistance (25 papers) and Plant Disease Resistance and Genetics (21 papers). Naoki Yamanaka is often cited by papers focused on Yeasts and Rust Fungi Studies (31 papers), Plant Pathogens and Resistance (25 papers) and Plant Disease Resistance and Genetics (21 papers). Naoki Yamanaka collaborates with scholars based in Japan, Brazil and Bangladesh. Naoki Yamanaka's co-authors include Kyuya Harada, Satoshi Watanabe, Ryoji Takahashi, Yasutaka Tsubokura, Shusei Sato, Zhengjun Xia, Satoshi Tabata, Toyoaki Anai, Yuichi Yamaoka and Kazuhiro Suenaga and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Genetics.

In The Last Decade

Naoki Yamanaka

51 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoki Yamanaka Japan 23 2.0k 803 166 146 141 53 2.1k
María Luisa Irigoyen Spain 14 1.6k 0.8× 719 0.9× 60 0.4× 76 0.5× 40 0.3× 18 1.7k
Ryan Percifield United States 10 1.1k 0.5× 737 0.9× 96 0.6× 211 1.4× 45 0.3× 12 1.3k
Shuang Fang China 20 1.7k 0.9× 971 1.2× 27 0.2× 103 0.7× 46 0.3× 29 1.9k
Klaus Petersen Denmark 14 1.3k 0.7× 966 1.2× 47 0.3× 46 0.3× 37 0.3× 21 1.5k
Jae Sung Shim South Korea 21 1.7k 0.9× 1.2k 1.5× 17 0.1× 135 0.9× 47 0.3× 34 2.0k
Shangwei Zhong China 21 1.9k 1.0× 1.2k 1.5× 25 0.2× 113 0.8× 17 0.1× 25 2.1k
Takeo Harada Japan 29 1.9k 0.9× 977 1.2× 152 0.9× 113 0.8× 8 0.1× 72 2.1k
Madge Rothenberg United States 11 2.9k 1.4× 1.6k 1.9× 85 0.5× 44 0.3× 15 0.1× 13 3.1k
Jennifer P.C. To United States 14 3.0k 1.5× 2.3k 2.8× 51 0.3× 78 0.5× 50 0.4× 18 3.1k
B. Fakrudin India 13 547 0.3× 201 0.3× 50 0.3× 153 1.0× 66 0.5× 58 696

Countries citing papers authored by Naoki Yamanaka

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Yamanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Yamanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Yamanaka. A scholar is included among the top collaborators of Naoki Yamanaka 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 Naoki Yamanaka. Naoki Yamanaka 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.
Hossain, Md. Motaher, et al.. (2025). Advancing soybean rust resistance: Strategies, mechanisms, and innovations in gene pyramiding. Physiological and Molecular Plant Pathology. 139. 102770–102770.
2.
Vargas, Maria, et al.. (2024). Yearly changes in virulence of Phakopsora pachyrhizi isolates in Paraguay. Tropical Plant Pathology. 49(3). 413–420. 1 indexed citations
3.
Hossain, Md. Motaher, et al.. (2024). Understanding Phakopsora pachyrhizi in soybean: comprehensive insights, threats, and interventions from the Asian perspective. Frontiers in Microbiology. 14. 1304205–1304205. 12 indexed citations
4.
Hossain, Md. Motaher, et al.. (2022). A major variation in the virulence of the Asian soybean rust pathogen ( Phakopsora pachyrhizi ) in Bangladesh. Plant Pathology. 71(6). 1355–1368. 6 indexed citations
5.
Yamanaka, Naoki, et al.. (2020). Near-isogenic soybean lines carrying Asian soybean rust resistance genes for practical pathogenicity validation. Scientific Reports. 10(1). 13270–13270. 15 indexed citations
6.
Yamanaka, Naoki, et al.. (2020). Characterization of three soybean landraces resistant to Asian soybean rust disease. Molecular Breeding. 40(6). 9 indexed citations
7.
Worthington, Margaret, Masumi Ebina, Naoki Yamanaka, et al.. (2019). Translocation of a parthenogenesis gene candidate to an alternate carrier chromosome in apomictic Brachiaria humidicola. BMC Genomics. 20(1). 41–41. 29 indexed citations
8.
Yamanaka, Naoki, et al.. (2019). Pathotypic variation of Phakopsora pachyrhizi isolates from Uruguay. Tropical Plant Pathology. 44(4). 309–317. 12 indexed citations
9.
Yamanaka, Naoki, et al.. (2016). The locus for resistance to Asian soybean rust in PI 587855. Plant Breeding. 135(5). 621–626. 20 indexed citations
10.
11.
Yamanaka, Naoki, Md. Motaher Hossain, & Yuichi Yamaoka. (2015). Molecular mapping of Asian soybean rust resistance in Chinese and Japanese soybean lines, Xiao Jing Huang, Himeshirazu, and Iyodaizu B. Euphytica. 205(2). 311–324. 22 indexed citations
12.
Akamatsu, Hajime, Naoki Yamanaka, & Kazuhiro Suenaga. (2014). Identification of Stable Resistance to Soybean Rust for South America. 81.
13.
Hossain, Md. Motaher, Hajime Akamatsu, Yuichi Yamaoka, et al.. (2014). Molecular mapping of Asian soybean rust resistance in soybean landraces PI 594767A, PI 587905 and PI 416764. Plant Pathology. 64(1). 147–156. 41 indexed citations
14.
Watanabe, Satoshi, Zhengjun Xia, Yasutaka Tsubokura, et al.. (2011). A Map-Based Cloning Strategy Employing a Residual Heterozygous Line Reveals that the GIGANTEA Gene Is Involved in Soybean Maturity and Flowering. Genetics. 188(2). 395–407. 327 indexed citations
15.
Nakashima, Kazuo, Naoki Yamanaka, J. R. B. Farias, et al.. (2011). Molecular, anatomical and physiological properties of a genetically modified soybean line transformed with rd29A:AtDREB1A for the improvement of drought tolerance. Genetics and Molecular Research. 10(4). 3641–3656. 43 indexed citations
16.
Watanabe, Satoshi, Zhengjun Xia, Yasutaka Tsubokura, et al.. (2009). Map-Based Cloning of the Gene Associated With the Soybean Maturity Locus E3. Genetics. 182(4). 1251–1262. 304 indexed citations
17.
Yamanaka, Naoki, C. A. A. Arias, Alexandre Lima Nepomuceno, et al.. (2008). Molecular mapping of two loci that confer resistance to Asian rust in soybean. Theoretical and Applied Genetics. 117(1). 57–63. 107 indexed citations
18.
Yamanaka, Naoki, Satoshi Watanabe, Kyoko Toda, et al.. (2005). Fine mapping of the FT1 locus for soybean flowering time using a residual heterozygous line derived from a recombinant inbred line. Theoretical and Applied Genetics. 110(4). 634–639. 103 indexed citations
19.
Toda, Kyoko, et al.. (2002). A single-base deletion in soybean flavonoid 3′-hydroxylase gene is associated with gray pubescence color. Plant Molecular Biology. 50(2). 187–196. 116 indexed citations
20.
Yamagata, Hidehisa, Tetsuro Miki, Naoki Yamanaka, et al.. (1994). Detection of a premutation in Japanese myotonic dystrophy. Human Molecular Genetics. 3(5). 819–820. 22 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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