Goro Ishikawa

1.3k total citations
37 papers, 840 citations indexed

About

Goro Ishikawa is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Goro Ishikawa has authored 37 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 13 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Goro Ishikawa's work include Wheat and Barley Genetics and Pathology (23 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Plant Disease Resistance and Genetics (12 papers). Goro Ishikawa is often cited by papers focused on Wheat and Barley Genetics and Pathology (23 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Plant Disease Resistance and Genetics (12 papers). Goro Ishikawa collaborates with scholars based in Japan, United States and China. Goro Ishikawa's co-authors include Toshiki Nakamura, Mika Saito, Shuhei Nasuda, Takashi R. Endo, Jun‐ichi Yonemaru, David Benscher, Mark E. Sorrells, Jian Wu, Takashi Matsumoto and Zongyun Feng and has published in prestigious journals such as PLoS ONE, Frontiers in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

Goro Ishikawa

34 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Goro Ishikawa Japan 14 777 142 82 75 75 37 840
Yuefeng Ruan Canada 16 674 0.9× 125 0.9× 114 1.4× 56 0.7× 49 0.7× 67 746
Jiaoping Zhang United States 18 1.2k 1.5× 231 1.6× 60 0.7× 104 1.4× 137 1.8× 37 1.3k
Yongming Chen China 15 772 1.0× 224 1.6× 132 1.6× 210 2.8× 25 0.3× 38 865
Chenyong Miao United States 14 539 0.7× 228 1.6× 58 0.7× 201 2.7× 163 2.2× 14 721
Karansher Singh Sandhu United States 17 852 1.1× 374 2.6× 93 1.1× 121 1.6× 130 1.7× 30 986
Dawei Xin China 21 1.3k 1.6× 209 1.5× 105 1.3× 251 3.3× 65 0.9× 97 1.4k
Haifu Tu China 8 459 0.6× 116 0.8× 30 0.4× 119 1.6× 127 1.7× 16 547
Xianchun Xia China 17 762 1.0× 276 1.9× 75 0.9× 106 1.4× 26 0.3× 44 813
Komaki Inoue Japan 14 480 0.6× 80 0.6× 26 0.3× 190 2.5× 71 0.9× 25 658

Countries citing papers authored by Goro Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Goro Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goro Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Goro Ishikawa. A scholar is included among the top collaborators of Goro Ishikawa 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 Goro Ishikawa. Goro Ishikawa 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
3.
Mizuno, Nobuyuki, Hitoshi Matsunaka, Mikiko Yanaka, et al.. (2023). Natural variations of wheat EARLY FLOWERING 3 highlight their contributions to local adaptation through fine-tuning of heading time. Theoretical and Applied Genetics. 136(6). 139–139. 10 indexed citations
4.
Mizuno, Nobuyuki, Goro Ishikawa, Makoto Tougou, et al.. (2021). Genetic mechanisms determining grain number distribution along the spike and their effect on yield components in wheat. Molecular Breeding. 41(10). 62–62. 10 indexed citations
5.
David, Étienne, Simon Madec, Pouria Sadeghi‐Tehran, et al.. (2020). Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods. Plant Phenomics. 2020. 3521852–3521852. 168 indexed citations
6.
Ishikawa, Goro, Takeshi Hayashi, Kazuhiro Nakamura, et al.. (2020). Multifamily QTL analysis and comprehensive design of genotypes for high-quality soft wheat. PLoS ONE. 15(3). e0230326–e0230326. 7 indexed citations
7.
Tanaka, Tsuyoshi, et al.. (2019). Development of Genome-Wide SNP Markers for Barley via Reference- Based RNA-Seq Analysis. Frontiers in Plant Science. 10. 577–577. 18 indexed citations
8.
Ishikawa, Goro, Kazuhiro Nakamura, Hiroyuki Ito, et al.. (2014). Association Mapping and Validation of QTLs for Flour Yield in the Soft Winter Wheat Variety Kitahonami. PLoS ONE. 9(10). e111337–e111337. 19 indexed citations
9.
Ishikawa, Goro, Jesse Munkvold, James Tanaka, et al.. (2014). Fine mapping of a preharvest sprouting QTL interval on chromosome 2B in white wheat. Theoretical and Applied Genetics. 127(8). 1843–1855. 29 indexed citations
10.
Li, Jianjian, Takashi R. Endo, Mika Saito, et al.. (2013). Homoeologous relationship of rye chromosome arms as detected with wheat PLUG markers. Chromosoma. 122(6). 555–564. 34 indexed citations
11.
Kulwal, Pawan L., Goro Ishikawa, David Benscher, et al.. (2012). Association mapping for pre-harvest sprouting resistance in white winter wheat. Theoretical and Applied Genetics. 125(4). 793–805. 85 indexed citations
12.
Sayama, Takashi, Tetsuya Nakazaki, Goro Ishikawa, et al.. (2009). QTL analysis of seed-flooding tolerance in soybean (Glycine max [L.] Merr.). Plant Science. 176(4). 514–521. 66 indexed citations
13.
Saito, Mika, Patricia Vrinten, Goro Ishikawa, Robert A. Graybosch, & Toshiki Nakamura. (2008). A novel codominant marker for selection of the null Wx-B1 allele in wheat breeding programs. Molecular Breeding. 23(2). 209–217. 46 indexed citations
14.
Saito, Mika, Patricia Vrinten, Goro Ishikawa, R. A. Graybosch, & Toshiki Nakamura. (2008). Development of a codominant PCR-based marker for the wheat Wx-B1 null allele. The Sydney eScholarship Repository (The University of Sydney).
15.
Ishikawa, Goro, Toshiki Nakamura, Mika Saito, et al.. (2008). Localization of anchor loci representing five hundred annotated rice genes to wheat chromosomes using PLUG markers. Theoretical and Applied Genetics. 118(3). 499–514. 98 indexed citations
16.
Fukushima, Takehiro, Shuhei Nasuda, Ali Masoudi‐Nejad, et al.. (2008). Dissection of rye chromosome 1R in common wheat. Genes & Genetic Systems. 83(1). 43–53. 29 indexed citations
17.
Ishikawa, Goro, Jun‐ichi Yonemaru, Mika Saito, & Toshiki Nakamura. (2007). PCR-based landmark unique gene (PLUG) markers effectively assign homoeologous wheat genes to A, B and D genomes. BMC Genomics. 8(1). 135–135. 63 indexed citations
18.
Saito, Mika, Goro Ishikawa, Jun‐ichi Yonemaru, & Toshiki Nakamura. (2006). Analysis of Deletion Breakpoints in a Wheat Null Wx-B1 Allele Using Molecular Markers. Breeding Research. 8(1). 9–16. 4 indexed citations
19.
Saito, Mika, Jun‐ichi Yonemaru, Goro Ishikawa, & Toshiki Nakamura. (2005). A candidate autonomous version of the wheat MITE Hikkoshi is present in the rice genome. Molecular Genetics and Genomics. 273(5). 404–414. 11 indexed citations
20.
Takagi, Minoru, et al.. (1973). Periapical Cemental Dysplasia: Report of a Case. THE JOURNAL OF THE STOMATOLOGICAL SOCIETY JAPAN. 40(4). 356–366. 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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