Yuki Yanagawa

1.9k total citations
39 papers, 1.5k citations indexed

About

Yuki Yanagawa is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Yuki Yanagawa has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 21 papers in Plant Science and 8 papers in Cell Biology. Recurrent topics in Yuki Yanagawa's work include Ubiquitin and proteasome pathways (15 papers), Plant Molecular Biology Research (10 papers) and Glycosylation and Glycoproteins Research (6 papers). Yuki Yanagawa is often cited by papers focused on Ubiquitin and proteasome pathways (15 papers), Plant Molecular Biology Research (10 papers) and Glycosylation and Glycoproteins Research (6 papers). Yuki Yanagawa collaborates with scholars based in Japan, United States and China. Yuki Yanagawa's co-authors include Setsuko Komatsu, Xing Wang Deng, Minami Matsui, Ichiro Mitsuhara, Shigemi Seo, Genki Suzuki, Yuko Ohashi, Susumu Hiraga, Giuliana Gusmaroli and Takayoshi Iwai and has published in prestigious journals such as Genes & Development, PLoS ONE and The Plant Cell.

In The Last Decade

Yuki Yanagawa

38 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuki Yanagawa Japan 20 1.2k 957 140 78 47 39 1.5k
Marco Trujillo Germany 25 1.6k 1.4× 949 1.0× 239 1.7× 112 1.4× 19 0.4× 42 2.1k
Takeo Sato Japan 21 1.1k 0.9× 839 0.9× 84 0.6× 48 0.6× 46 1.0× 46 1.4k
Nancy De Winne Belgium 18 1.1k 0.9× 882 0.9× 172 1.2× 46 0.6× 25 0.5× 28 1.4k
Lam Dai Vu Belgium 18 970 0.8× 910 1.0× 100 0.7× 26 0.3× 30 0.6× 37 1.4k
Lesia Rodríguez Spain 24 2.2k 1.9× 1.2k 1.2× 156 1.1× 57 0.7× 27 0.6× 27 2.5k
Yunping Shen China 14 1.4k 1.2× 1.3k 1.3× 64 0.5× 48 0.6× 36 0.8× 15 1.6k
Songguang Yang China 22 1.3k 1.1× 1.4k 1.5× 204 1.5× 37 0.5× 64 1.4× 43 1.9k
Jeong‐Gu Kang United States 16 1.1k 0.9× 759 0.8× 74 0.5× 110 1.4× 31 0.7× 22 1.5k
Eveline Van De Slijke Belgium 16 986 0.8× 923 1.0× 132 0.9× 23 0.3× 30 0.6× 26 1.3k
Andrea Mair Austria 14 1.1k 0.9× 939 1.0× 151 1.1× 39 0.5× 47 1.0× 18 1.5k

Countries citing papers authored by Yuki Yanagawa

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Yanagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Yanagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Yanagawa. A scholar is included among the top collaborators of Yuki Yanagawa 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 Yuki Yanagawa. Yuki Yanagawa 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.
Yanagawa, Yuki, M. Endo, Etsuko Katoh, et al.. (2023). Genome editing by introduction of Cas9/sgRNA into plant cells using temperature-controlled atmospheric pressure plasma. PLoS ONE. 18(2). e0281767–e0281767. 4 indexed citations
2.
3.
Komatsu, Setsuko & Yuki Yanagawa. (2013). Cell wall proteomics of crops. Frontiers in Plant Science. 4. 17–17. 27 indexed citations
4.
Kuroda, Hirofumi, Yuki Yanagawa, Naoki Takahashi, Yoko Horii, & Minami Matsui. (2012). A Comprehensive Analysis of Interaction and Localization of Arabidopsis SKP1-LIKE (ASK) and F-Box (FBX) Proteins. PLoS ONE. 7(11). e50009–e50009. 68 indexed citations
5.
Nouri, Mohammad‐Zaman, Susumu Hiraga, Yuki Yanagawa, et al.. (2011). Characterization of calnexin in soybean roots and hypocotyls under osmotic stress. Phytochemistry. 74. 20–29. 24 indexed citations
6.
Yanagawa, Yuki & Setsuko Komatsu. (2011). Ubiquitin/proteasome-mediated proteolysis is involved in the response to flooding stress in soybean roots, independent of oxygen limitation. Plant Science. 185-186. 250–258. 41 indexed citations
7.
Igawa, Tomoko, Masayuki Fujiwara, Ichiro Tanaka, Yoichiro Fukao, & Yuki Yanagawa. (2010). Characterization of bacterial-type phosphoenolpyruvate carboxylase expressed in male gametophyte of higher plants. BMC Plant Biology. 10(1). 200–200. 32 indexed citations
8.
Chen, Haodong, Xi Huang, Giuliana Gusmaroli, et al.. (2010). Arabidopsis CULLIN4-Damaged DNA Binding Protein 1 Interacts with CONSTITUTIVELY PHOTOMORPHOGENIC1-SUPPRESSOR OF PHYA Complexes to Regulate Photomorphogenesis and Flowering Time . The Plant Cell. 22(1). 108–123. 175 indexed citations
9.
Igawa, Tomoko, Yoichiro Hoshino, & Yuki Yanagawa. (2009). Isolation and characterization of the plant glsA promoter from Alstroemeria. Plant Biology. 11(6). 878–885. 3 indexed citations
10.
Mitsuhara, Ichiro, Takayoshi Iwai, Shigemi Seo, et al.. (2008). Characteristic expression of twelve rice PR1 family genes in response to pathogen infection, wounding, and defense-related signal compounds (121/180). Molecular Genetics and Genomics. 279(4). 415–427. 219 indexed citations
11.
Katou, Shinpei, Katsushi Kuroda, Shigemi Seo, et al.. (2007). A Calmodulin-Binding Mitogen-Activated Protein Kinase Phosphatase is Induced by Wounding and Regulates the Activities of Stress-Related Mitogen-Activated Protein Kinases in Rice. Plant and Cell Physiology. 48(2). 332–344. 50 indexed citations
12.
Yanagawa, Yuki, James A. Sullivan, Setsuko Komatsu, et al.. (2004). Arabidopsis COP10 forms a complex with DDB1 and DET1 in vivo and enhances the activity of ubiquitin conjugating enzymes. Genes & Development. 18(17). 2172–2181. 166 indexed citations
13.
Yamamoto, Taichi, Seisuke Kimura, Yoko Mori, et al.. (2004). Degradation of proliferating cell nuclear antigen by 26S proteasome in rice ( Oryza sativa L.). Planta. 218(4). 640–646. 14 indexed citations
14.
15.
Yanagawa, Yuki, et al.. (2003). Cell-cycle-related variation in proteins in suspension-cultured rice cells. Journal of Plant Research. 116(6). 469–475. 3 indexed citations
16.
Suzuki, Genki, Yuki Yanagawa, Shing F. Kwok, Minami Matsui, & Xing‐Wang Deng. (2002). Arabidopsis COP10 is a ubiquitin-conjugating enzyme variant that acts together with COP1 and the COP9 signalosome in repressing photomorphogenesis. Genes & Development. 16(5). 554–559. 99 indexed citations
17.
Yanagawa, Yuki, Seisuke Kimura, Kengo Sakaguchi, et al.. (2002). Spatial distribution of the 26S proteasome in meristematic tissues and primordia of rice ( Oryza sativa L.). Planta. 214(5). 703–707. 12 indexed citations
18.
Yanagawa, Yuki, Seiichiro Hasezawa, Fumi Kumagai, et al.. (2002). Cell-Cycle Dependent Dynamic Change of 26S Proteasome Distribution in Tobacco BY-2 Cells. Plant and Cell Physiology. 43(6). 604–613. 27 indexed citations
19.
20.
Ito, Naoko, Yuki Yanagawa, Richard E. Kendrick, et al.. (1997). Changes in Proteasome Levels in Spinach (Spinacia oleracea) Seeds during Imbibition and Germination. Bioscience Biotechnology and Biochemistry. 61(6). 998–1001. 13 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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