Fumika Koyano

3.4k citations
18 papers · 2.7k indexed · 2 hit papers · h-index 14
Topics
Autophagy in Disease and Therapy (13 papers)Parkinson's Disease Mechanisms and Treatments (11 papers)Mitochondrial Function and Pathology (11 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Fumika Koyano

18 papers receiving 2.7k citations

Hit Papers

Ubiquitin is phosphorylated by PINK1 to activate parkin2012202620162021201420122505007501000

Peers

Fumika Koyano
Comparison fields: 5 of 89
  • Epidemiology 1.8k
  • Molecular Biology 1.7k
  • Neurology 905
  • Physiology 423
  • Cell Biology 383
Replace Sven Geisler with:
Sven Geisler Germany
Agne Kazlauskaite United Kingdom
Thomas G. McWilliams United Kingdom
Kahori Shiba Japan
Maja A. Tocilescu Germany
Chandana Kondapalli United Kingdom
Kei Okatsu Japan
Guy Las United States
Hidehito Yoshihara Japan
Zheng Ying China
Fumika Koyano relative to Sven Geisler Germany Sven Geisler's profile →
Citations per field
00.5×
Sven Geisler · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 1
3 9
4 150
5 42
6 90
7 47
8 21
9 49
10 34
11 1
12 221
13
Ubiquitin is phosphorylated by PINK1 to activate parkinbreakdown →
1141
14 175
15 29
16 185
17
PINK1 autophosphorylation upon membrane potential dissipation is essential for Parkin recruitment to damaged mitochondriabreakdown →
415
18 62

About Fumika Koyano

Fumika Koyano is a scholar working on Neurology, Epidemiology and Neurology, having authored 18 papers that have together received 2.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (13 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Mitochondrial Function and Pathology (11 papers). The work is most often cited by research in Neurology (905 citations), Epidemiology (1.8k citations) and Molecular Biology (1.7k citations). Fumika Koyano has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Noriyuki Matsuda, Keiji Tanaka, Mayumi Kimura, Kei Okatsu, Hidetaka Kosako, Yasushi Saeki, Takatsugu Hirokawa, Yoko Kimura, Toshiya Endo and Edward A. Fon. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.

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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