Fumika Koyano

3.4k total citations · 2 hit papers
18 papers, 2.7k citations indexed

About

Fumika Koyano is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Fumika Koyano has authored 18 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Epidemiology and 11 papers in Neurology. Recurrent topics in Fumika Koyano's work include Autophagy in Disease and Therapy (13 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Mitochondrial Function and Pathology (11 papers). Fumika Koyano is often cited by papers focused on Autophagy in Disease and Therapy (13 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Mitochondrial Function and Pathology (11 papers). Fumika Koyano collaborates with scholars based in Japan, China and United States. Fumika Koyano's co-authors include Noriyuki Matsuda, Keiji Tanaka, Mayumi Kimura, Kei Okatsu, Hidetaka Kosako, Yasushi Saeki, Takatsugu Hirokawa, Yoko Kimura, Jean‐François Trempe and Edward A. Fon and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Fumika Koyano

18 papers receiving 2.7k citations

Hit Papers

Ubiquitin is phosphorylated by PINK1 to activate parkin 2012 2026 2016 2021 2014 2012 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
Fumika Koyano Japan 14 1.8k 1.7k 905 423 383 18 2.7k
Sven Geisler Germany 11 1.9k 1.1× 1.9k 1.1× 976 1.1× 610 1.4× 504 1.3× 14 3.2k
Agne Kazlauskaite United Kingdom 7 1.2k 0.7× 1.3k 0.8× 691 0.8× 283 0.7× 255 0.7× 12 1.9k
Thomas G. McWilliams United Kingdom 16 1.1k 0.6× 1.1k 0.7× 411 0.5× 371 0.9× 274 0.7× 28 2.0k
Kahori Shiba Japan 5 1.0k 0.6× 997 0.6× 565 0.6× 304 0.7× 223 0.6× 5 1.7k
Maja A. Tocilescu Germany 11 907 0.5× 1.2k 0.7× 580 0.6× 303 0.7× 205 0.5× 12 1.9k
Chandana Kondapalli United Kingdom 5 999 0.6× 1.0k 0.6× 589 0.7× 278 0.7× 258 0.7× 5 1.6k
Kei Okatsu Japan 16 2.9k 1.7× 2.8k 1.6× 1.5k 1.6× 727 1.7× 614 1.6× 27 4.4k
Radu Stoica Romania 9 451 0.3× 1.6k 0.9× 699 0.8× 491 1.2× 758 2.0× 33 2.3k
Guy Las United States 14 1.4k 0.8× 2.7k 1.6× 259 0.3× 886 2.1× 395 1.0× 17 3.6k
Zheng Ying China 25 560 0.3× 1.1k 0.6× 698 0.8× 211 0.5× 264 0.7× 72 2.0k

Countries citing papers authored by Fumika Koyano

Since Specialization
Citations

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

Fields of papers citing papers by Fumika Koyano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumika Koyano

This figure shows the co-authorship network connecting the top 25 collaborators of Fumika Koyano. A scholar is included among the top collaborators of Fumika Koyano 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 Fumika Koyano. Fumika Koyano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Koyano, Fumika & Noriyuki Matsuda. (2025). Quality control of ABCD3 by the VCP-FAF2 complex suppresses excessive pexophagy. Autophagy. 21(5). 1169–1170. 1 indexed citations
2.
Saito, Muneyasu, Masaki Mishima, Masahiro Yamashina, et al.. (2025). The reaction mechanism for glycolysis side product degradation by Parkinson’s disease–linked DJ-1. The Journal of Cell Biology. 224(8). 1 indexed citations
3.
Koyano, Fumika, Koji Yamano, Hidetaka Kosako, et al.. (2024). AAA+ ATPase chaperone p97/VCPFAF2 governs basal pexophagy. Nature Communications. 15(1). 9347–9347. 9 indexed citations
4.
Yamano, Koji, Reika Kikuchi, Waka Kojima, et al.. (2020). Critical role of mitochondrial ubiquitination and the OPTN–ATG9A axis in mitophagy. The Journal of Cell Biology. 219(9). 150 indexed citations
5.
Koyano, Fumika, Koji Yamano, Hidetaka Kosako, Keiji Tanaka, & Noriyuki Matsuda. (2019). Parkin recruitment to impaired mitochondria for nonselective ubiquitylation is facilitated by MITOL. Journal of Biological Chemistry. 294(26). 10300–10314. 90 indexed citations
6.
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
7.
Matsuda, Noriyuki, Mayumi Kimura, Bruno B. Queliconi, et al.. (2017). Parkinson’s disease-related DJ-1 functions in thiol quality control against aldehyde attack in vitro. Scientific Reports. 7(1). 12816–12816. 47 indexed citations
8.
Kojima, Waka, Kei Okatsu, Bruno B. Queliconi, et al.. (2016). Unexpected mitochondrial matrix localization of Parkinson's disease‐related DJ‐1 mutants but not wild‐type DJ‐1. Genes to Cells. 21(7). 772–788. 21 indexed citations
9.
Okatsu, Kei, Fumika Koyano, Mayumi Kimura, et al.. (2015). Phosphorylated ubiquitin chain is the genuine Parkin receptor. The Journal of Experimental Medicine. 212(4). 2124OIA14–2124OIA14. 1 indexed citations
10.
Koyano, Fumika & Noriyuki Matsuda. (2015). Molecular mechanisms underlying PINK1 and Parkin catalyzed ubiquitylation of substrates on damaged mitochondria. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(10). 2791–2796. 34 indexed citations
11.
Yamano, Koji, Bruno B. Queliconi, Fumika Koyano, et al.. (2015). Site-specific Interaction Mapping of Phosphorylated Ubiquitin to Uncover Parkin Activation. Journal of Biological Chemistry. 290(42). 25199–25211. 49 indexed citations
12.
Okatsu, Kei, Fumika Koyano, Mayumi Kimura, et al.. (2015). Phosphorylated ubiquitin chain is the genuine Parkin receptor. The Journal of Cell Biology. 209(1). 111–128. 221 indexed citations
13.
Koyano, Fumika, Kei Okatsu, Hidetaka Kosako, et al.. (2014). Ubiquitin is phosphorylated by PINK1 to activate parkin. Nature. 510(7503). 162–166. 1141 indexed citations breakdown →
14.
Iguchi, Masahiro, Kei Okatsu, Fumika Koyano, et al.. (2013). Parkin-catalyzed Ubiquitin-Ester Transfer Is Triggered by PINK1-dependent Phosphorylation. Journal of Biological Chemistry. 288(30). 22019–22032. 175 indexed citations
15.
Koyano, Fumika, Kei Okatsu, Shinsuke Ishigaki, et al.. (2013). The principal PINK1 and Parkin cellular events triggered in response to dissipation of mitochondrial membrane potential occur in primary neurons. Genes to Cells. 18(8). 672–681. 29 indexed citations
16.
Okatsu, Kei, Fumika Koyano, Mayumi Kimura, et al.. (2013). A Dimeric PINK1-containing Complex on Depolarized Mitochondria Stimulates Parkin Recruitment. Journal of Biological Chemistry. 288(51). 36372–36384. 185 indexed citations
17.
Okatsu, Kei, Toshihiko Oka, Masahiro Iguchi, et al.. (2012). PINK1 autophosphorylation upon membrane potential dissipation is essential for Parkin recruitment to damaged mitochondria. Nature Communications. 3(1). 1016–1016. 415 indexed citations breakdown →
18.
Okatsu, Kei, Shun‐ichiro Iemura, Fumika Koyano, et al.. (2012). Mitochondrial hexokinase HKI is a novel substrate of the Parkin ubiquitin ligase. Biochemical and Biophysical Research Communications. 428(1). 197–202. 62 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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