Noriyuki Matsuda

10.9k citations
118 papers · 8.4k indexed · 4 hit papers · h-index 34
Topics
Autophagy in Disease and Therapy (45 papers)Ubiquitin and proteasome pathways (28 papers)Parkinson's Disease Mechanisms and Treatments (22 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Noriyuki Matsuda

112 papers receiving 8.4k citations

Hit Papers

PINK1 stabilized by mitochondrial depolarization recruits...2010202620152020201020142021201250010001.5k

Peers

Noriyuki Matsuda
Comparison fields: 5 of 147
  • Molecular Biology 5.5k
  • Epidemiology 4.4k
  • Neurology 2.0k
  • Cell Biology 1.3k
  • Physiology 1.2k
Replace Fiona M. Menzies with:
Fiona M. Menzies United Kingdom
Shouqing Luo United Kingdom
J. Eric Davies United Kingdom
Taichi Hara Japan
Hiroshi Koga Japan
Brinda Ravikumar United Kingdom
Jongkyeong Chung South Korea
Aviva M. Tolkovsky United Kingdom
Yong‐Keun Jung South Korea
Naotada Ishihara Japan
Noriyuki Matsuda relative to Fiona M. Menzies United Kingdom Fiona M. Menzies's profile →
Citations per field
00.5×4.5×
Fiona M. Menzies · 1×
Citations per year

Countries citing papers authored by Noriyuki Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Noriyuki Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriyuki Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Noriyuki Matsuda. A scholar is included among the top collaborators of Noriyuki Matsuda 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 Noriyuki Matsuda. Noriyuki Matsuda 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
#WorkIndexed citations
1 0
2 1
3 5
4 31
5 9
6 3
7 25
8 0
9 6
10 32
11
Molecular mechanisms and physiological functions of mitophagybreakdown →
932
12 14
13 150
14 42
15 90
16 32
17 127
18 1
19 175
20
[Role of mitophagy in hereditary Parkinson's disease].
1

About Noriyuki Matsuda

Noriyuki Matsuda is a scholar working on Neurology, Epidemiology and Human-Computer Interaction, having authored 118 papers that have together received 8.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (45 papers), Ubiquitin and proteasome pathways (28 papers) and Parkinson's Disease Mechanisms and Treatments (22 papers). The work is most often cited by research in Neurology (2.0k citations), Epidemiology (4.4k citations) and Molecular Biology (5.5k citations). Noriyuki Matsuda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Keiji Tanaka, Kei Okatsu, Mayumi Kimura, Koji Yamano, Fumika Koyano, Miyuki Sato, Mashun Onishi, Koji Okamoto, Nobutaka Hattori and Hidetaka Kosako. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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