Mikio Shoji

17.5k citations
293 papers · 12.0k indexed · 3 hit papers · h-index 55

Mikio Shoji

284 papers receiving 11.7k citations

Hit Papers

Age-Dependent Changes in Brain, CSF, and Plasm...88119802026199520104008001.2k

Peers

Mikio Shoji
Comparison fields: 5 of 140
  • Physiology 7.0k
  • Neurology 1.8k
  • Biological Psychiatry 369
  • Cellular and Molecular Neuroscience 2.7k
  • Developmental Neuroscience 536
Replace G. William Rebeck with:
G. William Rebeck United States
Hiroshi Mori Japan
Eileen McGowan United States
Diane P. Hanger United Kingdom
Yadong Huang United States
Irina Alafuzoff Sweden
Marc Mercken Belgium
Christopher B. Eckman United States
Marla Gearing United States
Jada Lewis United States
Mikio Shoji relative to G. William Rebeck United States G. William Rebeck's profile →
Citations per field
00.5×1.5×
G. William Rebeck · 1×
Citations per year

Countries citing papers authored by Mikio Shoji

Since Specialization
Citations

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

Fields of papers citing papers by Mikio Shoji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mikio Shoji, 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 Mikio Shoji Line = papers co-authored together Mikio Shoji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20201
3 201027
4 200538
5 200588
6 200318
7 200335
8 200318
9
Autosomal recessive ataxias: a new gene - aprataxin - responsible for ataxia-ocular apraxia 1, and a new locus on 9q34
20023
10 200251
11 20022
12 200127
13 19990
14 19970
15 199712
16 19969
17 199543
18 199311
19 19881
20 19871

About Mikio Shoji

Mikio Shoji is a scholar working on Neurology, Physiology and Developmental Neuroscience, having authored 293 papers that have together received 12.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (129 papers), Prion Diseases and Protein Misfolding (44 papers), Dementia and Cognitive Impairment Research (29 papers), Genetic Neurodegenerative Diseases (27 papers), Amyotrophic Lateral Sclerosis Research (26 papers), Parkinson's Disease Mechanisms and Treatments (26 papers), Neuroinflammation and Neurodegeneration Mechanisms (25 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (24 papers). The work is most often cited by research in Physiology (7.0k citations), Neurology (1.8k citations) and Biological Psychiatry (369 citations). Mikio Shoji has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Takeshi Kawarabayashi, S Hirai, Etsuro Matsubara, Yasuo Harigaya, Linda H. Younkin, Steven G. Younkin, Takaomi C. Saido, Steven G. Younkin, Karen H. Ashe and H. Yamaguchi.

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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