Keisuke Nonaka

1.9k total citations
89 papers, 1.2k citations indexed

About

Keisuke Nonaka is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Keisuke Nonaka has authored 89 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 23 papers in Computer Vision and Pattern Recognition and 19 papers in Molecular Biology. Recurrent topics in Keisuke Nonaka's work include Advanced Vision and Imaging (18 papers), Plant Physiology and Cultivation Studies (16 papers) and Horticultural and Viticultural Research (11 papers). Keisuke Nonaka is often cited by papers focused on Advanced Vision and Imaging (18 papers), Plant Physiology and Cultivation Studies (16 papers) and Horticultural and Viticultural Research (11 papers). Keisuke Nonaka collaborates with scholars based in Japan, United States and United Kingdom. Keisuke Nonaka's co-authors include Mike Rayner, Peter Scarborough, Charlotte Payne, Lillian Shum, Terutaka Yoshioka, Atsushi Imai, Glen H. Nuckolls, Sei Naito, Tokurou Shimizu and M. Ohishi and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Keisuke Nonaka

82 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keisuke Nonaka Japan 18 421 368 230 207 136 89 1.2k
Jiyong Ma China 10 447 1.1× 222 0.6× 94 0.4× 51 0.2× 27 0.2× 21 1.1k
Kai Dang China 24 709 1.7× 162 0.4× 197 0.9× 385 1.9× 9 0.1× 73 1.6k
Julie Kang United States 20 992 2.4× 1.4k 3.9× 49 0.2× 25 0.1× 118 0.9× 42 2.0k
Alan Medlar Finland 13 512 1.2× 161 0.4× 99 0.4× 23 0.1× 11 0.1× 43 1.1k
Malay Das India 26 543 1.3× 796 2.2× 78 0.3× 23 0.1× 4 0.0× 48 1.5k
Wen‐Jia Yang China 23 730 1.7× 268 0.7× 157 0.7× 659 3.2× 13 0.1× 121 1.5k
Michael Pfaff Germany 13 242 0.6× 145 0.4× 174 0.8× 132 0.6× 37 0.3× 32 1.0k
Xuewei Qi China 14 319 0.8× 236 0.6× 31 0.1× 174 0.8× 12 0.1× 40 688
Antoine Martin France 23 1.3k 3.0× 1.9k 5.1× 453 2.0× 27 0.1× 3 0.0× 44 2.9k
Xiaosheng Chen China 14 239 0.6× 177 0.5× 39 0.2× 241 1.2× 8 0.1× 84 681

Countries citing papers authored by Keisuke Nonaka

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Nonaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Nonaka

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Nonaka. A scholar is included among the top collaborators of Keisuke Nonaka 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 Keisuke Nonaka. Keisuke Nonaka 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.
Nonaka, Keisuke, Kohei Nishimura, Kazuma Uesaka, et al.. (2025). Snf1 and yeast GSK3-β activates Tda1 to suppress glucose starvation signaling. EMBO Reports. 26(11). 2910–2930. 1 indexed citations
2.
Shimizu, Tokurou & Keisuke Nonaka. (2025). Genomics unlocks the potential of genetic resources for citrus breeding. Breeding Science. 75(1). 21–33.
3.
Deng, Zhiwei, et al.. (2025). Exogenous application of CaCl2 and GA3 alleviates the juice sacs granulation in ‘Harumi’ fruit during storage. Postharvest Biology and Technology. 228. 113677–113677.
4.
Pavéz, Eduardo, et al.. (2024). Full reference point cloud quality assessment using support vector regression. Signal Processing Image Communication. 131. 117239–117239.
5.
Deng, Zhiwei, et al.. (2024). Characterization of granulation in citrus “Harumi” fruit during postharvest storage. Postharvest Biology and Technology. 210. 112770–112770. 11 indexed citations
6.
7.
Minamikawa, Mai F., et al.. (2022). Dissecting Breeders’ Sense via Explainable Machine Learning Approach: Application to Fruit Peelability and Hardness in Citrus. Frontiers in Plant Science. 13. 832749–832749. 7 indexed citations
8.
Fujii, Hiroshi, Keisuke Nonaka, Mai F. Minamikawa, et al.. (2021). Allelic composition of carotenoid metabolic genes in 13 founders influences carotenoid composition in juice sac tissues of fruits among Japanese citrus breeding population. PLoS ONE. 16(2). e0246468–e0246468. 6 indexed citations
9.
Imai, Atsushi, Takeshi Kuniga, Terutaka Yoshioka, et al.. (2019). Single-step genomic prediction of fruit-quality traits using phenotypic records of non-genotyped relatives in citrus. PLoS ONE. 14(8). e0221880–e0221880. 16 indexed citations
10.
Imai, Atsushi, Takeshi Kuniga, Terutaka Yoshioka, et al.. (2018). Predicting segregation of multiple fruit-quality traits by using accumulated phenotypic records in citrus breeding. PLoS ONE. 13(8). e0202341–e0202341. 4 indexed citations
11.
Imai, Atsushi, Takeshi Kuniga, Terutaka Yoshioka, et al.. (2016). Genetic Background, Inbreeding, and Genetic Uniformity in the National Citrus Breeding Program, Japan. The Horticulture Journal. 86(2). 200–207. 15 indexed citations
12.
Nonaka, Keisuke, et al.. (2016). Environmental Variances of Fruit Traits in a Mandarin-related Population Used in Citrus Breeding in Japan. HortScience. 51(6). 680–683. 1 indexed citations
13.
Shimizu, Tokurou, Akira Kitajima, Keisuke Nonaka, et al.. (2016). Hybrid Origins of Citrus Varieties Inferred from DNA Marker Analysis of Nuclear and Organelle Genomes. PLoS ONE. 11(11). e0166969–e0166969. 80 indexed citations
14.
Nonaka, Keisuke, Masayuki Kita, Yoshinori Ikoma, et al.. (2012). Genetic Differences and Environmental Variations in Carotenoid Contents of Fruit Flesh in Parental Population Used in Citrus Breeding in Japan. Journal of the American Society for Horticultural Science. 137(4). 243–249. 3 indexed citations
15.
Miyaji, Makoto, et al.. (2010). Effects of cultivar and processing method of rice grain on ruminal disappearance characteristics.. 56(1). 13–19. 10 indexed citations
16.
Sasaki, Yusuke, et al.. (2006). Craniofacial growth and functional change in oligodontia with ectodermal dysplasia: a case report. Journal of Oral Rehabilitation. 34(3). 228–235. 7 indexed citations
17.
Nonaka, Keisuke, Lillian Shum, Ichiro Takahashi, et al.. (1999). Convergence of the BMP and EGF signaling pathways on Smad1 in the regulation of chondrogenesis. The International Journal of Developmental Biology. 43(8). 795–807. 38 indexed citations
18.
Nonaka, Keisuke, Hiroshi Sasada, & J. Nagai. (1990). Effects of age and body mass of recipients on survival of transferred embryos in mice.. PubMed. 33(4). 193–5. 2 indexed citations
19.
Mogami, Yoshihiro, et al.. (1986). AN IMPROVED METHOD OF DIGITAL IMAGE ANALYSIS OF FLAGELLAR BENDS : Physiology. ZOOLOGICAL SCIENCE. 3(6). 977. 1 indexed citations
20.
Nagai, Kazuya, et al.. (1982). Ecology and control of the Thrips infesting fruit vegetable, 3: Sites for infestation and pupation of Thrips palmi. 1 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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