Yoko Kimura

3.4k total citations · 1 hit paper
38 papers, 2.7k citations indexed

About

Yoko Kimura is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yoko Kimura has authored 38 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Cell Biology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yoko Kimura's work include Endoplasmic Reticulum Stress and Disease (9 papers), Genetic Neurodegenerative Diseases (7 papers) and Autophagy in Disease and Therapy (7 papers). Yoko Kimura is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (9 papers), Genetic Neurodegenerative Diseases (7 papers) and Autophagy in Disease and Therapy (7 papers). Yoko Kimura collaborates with scholars based in Japan, United States and Hong Kong. Yoko Kimura's co-authors include Keiji Tanaka, Ichiro Yahara, Noriyuki Matsuda, Hidetaka Kosako, Mayumi Kimura, Fumika Koyano, Kei Okatsu, Hikaru Tsuchiya, Takatsugu Hirokawa and Toshiya Endo and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Yoko Kimura

38 papers receiving 2.7k citations

Hit Papers

Ubiquitin is phosphorylated by PINK1 to activate parkin 2014 2026 2018 2022 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoko Kimura Japan 20 2.0k 954 574 458 313 38 2.7k
Ayumu Sugiura Japan 18 2.1k 1.0× 777 0.8× 361 0.6× 327 0.7× 232 0.7× 32 2.8k
Toshihiko Oka Japan 23 3.3k 1.7× 1.1k 1.1× 425 0.7× 435 0.9× 277 0.9× 41 4.0k
Dominic Winter Germany 23 1.6k 0.8× 606 0.6× 384 0.7× 377 0.8× 254 0.8× 69 2.5k
Lifeng Pan China 31 1.8k 0.9× 740 0.8× 683 1.2× 159 0.3× 162 0.5× 78 2.7k
Wolfgang Voos Germany 42 4.6k 2.3× 430 0.5× 935 1.6× 376 0.8× 351 1.1× 74 5.4k
Huanchen Wang United States 35 2.7k 1.3× 591 0.6× 680 1.2× 94 0.2× 153 0.5× 83 3.9k
Nobuo Suzuki Japan 22 1.2k 0.6× 712 0.7× 433 0.8× 145 0.3× 94 0.3× 68 2.1k
Wei Feng China 32 1.8k 0.9× 360 0.4× 1.2k 2.2× 115 0.3× 447 1.4× 90 3.1k
Luca Pellegrini Canada 28 2.9k 1.4× 419 0.4× 793 1.4× 153 0.3× 376 1.2× 39 3.7k
Chih-chen Wang China 30 1.6k 0.8× 283 0.3× 1.3k 2.2× 243 0.5× 117 0.4× 50 2.5k

Countries citing papers authored by Yoko Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Kimura. A scholar is included among the top collaborators of Yoko Kimura 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 Yoko Kimura. Yoko Kimura 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.
Nakagawa, Reiko, Xinyue Hu, Priyanshu Bhargava, et al.. (2023). Differential second messenger signaling via dopamine neurons bidirectionally regulates memory retention. Proceedings of the National Academy of Sciences. 120(36). e2304851120–e2304851120. 5 indexed citations
2.
Kimura, Yoko, et al.. (2023). Physicochemical properties of the vacuolar membrane and cellular factors determine formation of vacuolar invaginations. Scientific Reports. 13(1). 16187–16187. 1 indexed citations
3.
Kimura, Yoko, et al.. (2019). The neural circuit linking mushroom body parallel circuits induces memory consolidation in Drosophila. Proceedings of the National Academy of Sciences. 116(32). 16080–16085. 23 indexed citations
4.
Koyano, Fumika, Koji Yamano, Hidetaka Kosako, et al.. (2019). Parkin‐mediated ubiquitylation redistributes MITOL/March5 from mitochondria to peroxisomes. EMBO Reports. 20(12). e47728–e47728. 42 indexed citations
5.
Kurokawa, Kazuo, et al.. (2019). Role of Atg8 in the regulation of vacuolar membrane invagination. Scientific Reports. 9(1). 14828–14828. 15 indexed citations
6.
Kimura, Yoko, et al.. (2012). Rescue of growth defects of yeast cdc48 mutants by pathogenic IBMPFD-VCPs. Journal of Structural Biology. 179(2). 93–103. 6 indexed citations
7.
Kimura, Yoko & Keiji Tanaka. (2010). Regulatory mechanisms involved in the control of ubiquitin homeostasis. The Journal of Biochemistry. 147(6). 793–798. 157 indexed citations
8.
Kimura, Yoko, Hideki Yashiroda, Tai Kudo, et al.. (2009). An Inhibitor of a Deubiquitinating Enzyme Regulates Ubiquitin Homeostasis. Cell. 137(3). 549–559. 66 indexed citations
9.
Maeda, Ryota, et al.. (2009). p97/valosin‐containing protein (VCP) is highly modulated by phosphorylation and acetylation. Genes to Cells. 14(4). 483–497. 42 indexed citations
10.
Kimura, Yoko, et al.. (2006). Therapeutic Prospects for the Prevention of Neurodegeneration in Huntingtons Disease and the Polyglutamine Repeat Disorders. Mini-Reviews in Medicinal Chemistry. 7(1). 99–106. 3 indexed citations
11.
12.
Matsumoto, Shigeki, Etsuko Tanaka, Takayuki Nemoto, et al.. (2002). Interaction between the N-terminal and Middle Regions Is Essential for the in Vivo Function of HSP90 Molecular Chaperone. Journal of Biological Chemistry. 277(38). 34959–34966. 19 indexed citations
13.
Kimura, Yoko, et al.. (2002). Circumvention of Chaperone Requirement for Aggregate Formation of a Short Polyglutamine Tract by the Co-expression of a Long Polyglutamine Tract. Journal of Biological Chemistry. 277(40). 37536–37541. 7 indexed citations
14.
Kimura, Yoko, et al.. (2001). Initial process of polyglutamine aggregate formation in vivo. Genes to Cells. 6(10). 887–897. 22 indexed citations
15.
Hirabayashi, Miho, Kiyoshi Inoue, Keiko Tanaka, et al.. (2001). VCP/p97 in abnormal protein aggregates, cytoplasmic vacuoles, and cell death, phenotypes relevant to neurodegeneration. Cell Death and Differentiation. 8(10). 977–984. 213 indexed citations
16.
Gohda, Keigo, Yoko Kimura, Ichiro Mori, Daisaku Ohta, & Takeshi Kikuchi. (1998). Theoretical evidence of the existence of a diazafulvene intermediate in the reaction pathway of imidazoleglycerol phosphate dehydratase: design of a novel and potent heterocycle structure for the inhibitor on the basis of the electronic structure-activity relationship study. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1385(1). 107–114. 16 indexed citations
17.
Mori, Ichiro, Yoko Kimura, Genji Iwasaki, et al.. (1995). A Novel Class of Herbicides (Specific Inhibitors of Imidazoleglycerol Phosphate Dehydratase). PLANT PHYSIOLOGY. 107(3). 719–723. 53 indexed citations
18.
Minami, Yasufumi, Yoko Kimura, Hiroshi Kawasaki, Koichi Suzuki, & Ichiro Yahara. (1994). The Carboxy-Terminal Region of Mammalian HSP90 Is Required for Its Dimerization and Function In Vivo. Molecular and Cellular Biology. 14(2). 1459–1464. 143 indexed citations
19.
Kimura, Yoko & Ichiro Yahara. (1994). [Stress proteins as molecular chaperones].. PubMed. 39(4). 686–95. 2 indexed citations
20.
Kimura, Yoko, Seiji Matsumoto, & Ichiro Yahara. (1994). Temperature-sensitive mutants of hsp82 of the budding yeast Saccharomyces cerevisiae. Molecular and General Genetics MGG. 242(5). 517–527. 44 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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