Ryuji Ishikawa

1.9k total citations
85 papers, 1.4k citations indexed

About

Ryuji Ishikawa is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Ryuji Ishikawa has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 40 papers in Molecular Biology and 33 papers in Genetics. Recurrent topics in Ryuji Ishikawa's work include Genetic Mapping and Diversity in Plants and Animals (29 papers), Rice Cultivation and Yield Improvement (20 papers) and GABA and Rice Research (18 papers). Ryuji Ishikawa is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (29 papers), Rice Cultivation and Yield Improvement (20 papers) and GABA and Rice Research (18 papers). Ryuji Ishikawa collaborates with scholars based in Japan, China and Australia. Ryuji Ishikawa's co-authors include Minoru Niizeki, Takeo Harada, Mineo Senda, Shinji Akada, Robert J Henry, Yoichiro Sato, Daniel Le Waters, Katsunori Tanaka, Nicole F Rice and Kenichi Saito and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and Theoretical and Applied Genetics.

In The Last Decade

Ryuji Ishikawa

82 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
Ryuji Ishikawa Japan 20 1.1k 544 448 74 63 85 1.4k
Monica Accerbi United States 14 1.1k 1.0× 588 1.1× 226 0.5× 59 0.8× 15 0.2× 17 1.4k
Cathy Melamed‐Bessudo Israel 19 1.0k 1.0× 1.0k 1.8× 192 0.4× 33 0.4× 7 0.1× 26 1.4k
Metawee Srikummool Thailand 13 85 0.1× 267 0.5× 374 0.8× 59 0.8× 9 0.1× 37 702
Jennifer L. Trusty United States 12 182 0.2× 198 0.4× 89 0.2× 261 3.5× 8 0.1× 19 467
Wenbin Mei United States 15 253 0.2× 488 0.9× 108 0.2× 160 2.2× 2 0.0× 16 821
Enrique Rico Spain 14 292 0.3× 155 0.3× 80 0.2× 255 3.4× 5 0.1× 71 571
Lenka Záveská Drábková Czechia 18 586 0.5× 494 0.9× 130 0.3× 382 5.2× 3 0.0× 37 998
Toru Terachi Japan 26 937 0.9× 1.4k 2.6× 419 0.9× 441 6.0× 3 0.0× 73 2.0k
Youngbae Suh South Korea 16 323 0.3× 655 1.2× 157 0.4× 638 8.6× 2 0.0× 34 1.1k
Hirofumi Yamaguchi Japan 15 382 0.4× 164 0.3× 64 0.1× 148 2.0× 8 0.1× 47 551

Countries citing papers authored by Ryuji Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Ryuji Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuji Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuji Ishikawa. A scholar is included among the top collaborators of Ryuji 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 Ryuji Ishikawa. Ryuji 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
1.
Yamada, Satoshi, Taro Ikegami, Atsushi Imai, et al.. (2023). Association between human papillomavirus particle production and the severity of recurrent respiratory papillomatosis. Scientific Reports. 13(1). 5514–5514. 4 indexed citations
2.
Tanaka, Katsunori, Mitsuhiro Sugiyama, А. M. Artemyeva, et al.. (2023). Melon diversity on the Silk Road by molecular phylogenetic analysis in Kazakhstan melons. Breeding Science. 73(2). 219–229. 1 indexed citations
3.
Ishikawa, Ryuji, Atsushi Imai, Masato Mima, et al.. (2022). Novel prognostic value and potential utility of opioid receptor gene methylation in liquid biopsy for oral cavity cancer. Current Problems in Cancer. 46(2). 100834–100834. 6 indexed citations
4.
Hosokawa, Seiji, Goro Takahashi, J Okamura, et al.. (2021). Relevance of level IIb neck dissection in patients with papillary thyroid carcinoma. The Journal of Laryngology & Otology. 135(3). 269–272. 1 indexed citations
5.
Misawa, Kiyoshi, Masato Mima, Satoshi Yamada, et al.. (2020). Prostanoid receptor genes confer poor prognosis in head and neck squamous cell carcinoma via epigenetic inactivation. Journal of Translational Medicine. 18(1). 31–31. 4 indexed citations
6.
Misawa, Kiyoshi, Satoshi Yamada, Masato Mima, et al.. (2020). Long interspersed nuclear element 1 hypomethylation has novel prognostic value and potential utility in liquid biopsy for oral cavity cancer. Biomarker Research. 8(1). 53–53. 6 indexed citations
7.
Misawa, Kiyoshi, Yuki Misawa, Atsushi Imai, et al.. (2018). Epigenetic modification of SALL1 as a novel biomarker for the prognosis of early stage head and neck cancer. Journal of Cancer. 9(6). 941–949. 17 indexed citations
8.
Misawa, Kiyoshi, Masato Mima, Atsushi Imai, et al.. (2018). The neuropeptide genes SST, TAC1, HCRT, NPY, and GAL are powerful epigenetic biomarkers in head and neck cancer: a site-specific analysis. Clinical Epigenetics. 10(1). 52–52. 16 indexed citations
9.
10.
Castillo, Cristina, Katsunori Tanaka, Yoichiro Sato, et al.. (2015). Archaeogenetic study of prehistoric rice remains from Thailand and India: evidence of early japonica in South and Southeast Asia. Archaeological and Anthropological Sciences. 8(3). 523–543. 76 indexed citations
11.
Yin, Hao, Katsunori Tanaka, Katsuyuki Ichitani, et al.. (2013). Molecular relationships between Australian annual wild rice, Oryza meridionalis, and two related perennial forms. Rice. 6(1). 26–26. 38 indexed citations
12.
Tanaka, Katsunori, et al.. (2013). DNA Extraction from Rice Endosperm (Including a Protocol for Extraction of DNA from Ancient Seed Samples). Methods in molecular biology. 1099. 7–15. 15 indexed citations
13.
14.
Sakamoto, Shinichi, Ryuji Ishikawa, & Ikuo Nakamura. (2006). Species identification of 6,000-years-old beans from Sannai-Maruyama site, Aomori, Japan. 39(1). 1–6. 1 indexed citations
15.
Wakasa, Yuhya, Ryuji Ishikawa, Minoru Niizeki, et al.. (2003). Majin: A Miniature DNA Element Associated with the Genomes of Pome Fruit Trees. HortScience. 38(1). 17–20. 4 indexed citations
16.
Senda, Mineo, et al.. (2002). Analysis of the duplicated CHS1 gene related to the suppression of the seed coat pigmentation in yellow soybeans. Theoretical and Applied Genetics. 104(6). 1086–1091. 33 indexed citations
17.
Ishikawa, Ryuji, Ikuo Nakamura, Miho Kikuchi, et al.. (2002). Origin of cytoplasm substituted rice cultivars found in Japan. Theoretical and Applied Genetics. 105(4). 608–613. 11 indexed citations
18.
Ishikawa, Ryuji, et al.. (2000). Plant Gene Register PGR 00-030. MdACS-5A (accession no. AB034992) and 5B (accession no. AB034993), two wound-responsive genes encoding 1-aminocyclopropane-1-carboxylate synthase in apple.. PLANT PHYSIOLOGY. 122(2). 7 indexed citations
19.
Shimizu, Takeshi, Mineo Senda, Ryuji Ishikawa, et al.. (1999). Enhanced expression and differential inducibility of soybean chalcone synthase genes by supplemental UV-B in dark-grown seedlings. Plant Molecular Biology. 39(4). 785–795. 37 indexed citations
20.
Harada, Takeo, et al.. (1992). Pollen-derived rice calli that have large deletions in plastid DNA do not require protein synthesis in plastids for growth. Molecular and General Genetics MGG. 233(1-2). 145–150. 31 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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