Jun Mitsui

7k citations
165 papers · 5.6k · 2 hit papers · h-index 30

Impact in

Papers in

Jun Mitsui

151 papers receiving 5.5k citations

Jun Mitsui's Hit Papers

Noncoding CGG repeat expansions in neuronal intranuclear inclusion disease, oculopharyngodistal myopathy and an overlapping disease 2019 · 316 citations
3160+5+11Years since publication5001k1.5k

Peers

Jun Mitsui
Comparison fields: 5 of 99
  • Neurology 2k
  • Cellular and Molecular Neuroscience 1.1k
  • Physiology 1.1k
  • Neurology 195
  • Genetics 629
Replace Ikuko Mizuta with:
Ikuko Mizuta Japan
Hiroyuki Ishiura Japan
Viorica Chelban United Kingdom
Jonathan Baets Belgium
Jun Goto Japan
Laurie A. Robak United States
Yevgeniya A. Abramzon United States
Mériem Tazir France
Mary Beth Hovda Davis United Kingdom
Wim J. Mandemakers Netherlands
Jun Mitsui relative to Ikuko Mizuta Japan Ikuko Mizuta's profile →
Citations per field
00.5×1.5×2×2.5×
Ikuko Mizuta · 1×
Citations per year

Countries citing papers authored by Jun Mitsui

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mitsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Mitsui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Mitsui Line = papers co-authored together Jun Mitsui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multicenter Analysis of Glucocerebrosidase Mutations in Parkinson's Disease
Hit paper breakdown →
20091771
2
Noncoding CGG repeat expansions in neuronal intranuclear inclusion disease, oculopharyngodistal myopathy and an overlapping disease
Hit paper breakdown →
2019316
3 2016263
4 2018233
5 2016184
6 2009171
7 2013119
8 2008116
9 201294
10 201591
11 201286
12 201683
13 201082
14 201377
15 201573
16 201471
17 201368
18 200663
19 201857
20 201354

About Jun Mitsui

Jun Mitsui is a scholar working on Cellular and Molecular Neuroscience, Neurology, Genetics, Physiology and Clinical Biochemistry, having authored 165 papers that have together received 5.6k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (39 papers), Amyotrophic Lateral Sclerosis Research (18 papers), Genomics and Rare Diseases (16 papers), Genetic Neurodegenerative Diseases (14 papers), Lysosomal Storage Disorders Research (13 papers), Parkinson's Disease Mechanisms and Treatments (13 papers), Coenzyme Q10 studies and effects (9 papers) and Metabolism and Genetic Disorders (8 papers). The work is most often cited by research in Neurology (2k citations), Cellular and Molecular Neuroscience (1.1k citations), Physiology (1.1k citations), Neurology (195 citations) and Genetics (629 citations). Jun Mitsui has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shoji Tsuji, Hiroyuki Ishiura, Jun Goto, Shinichi Morishita, Yuji Takahashi, Takashi Matsukawa, Jun Yoshimura, Tatsushi Toda, Koichiro Doi and Hidetoshi Date. Their work appears in journals such as Journal of the Neurological Sciences, Scientific Reports, The Cerebellum, Neurogenetics and Annals of Clinical and Translational Neurology.

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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