Jun Shimizu

3.5k citations
101 papers · 1.7k indexed · h-index 22
Topics
Inflammatory Myopathies and Dermatomyositis (28 papers)Peripheral Neuropathies and Disorders (13 papers)Muscle Physiology and Disorders (10 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Jun Shimizu

93 papers receiving 1.6k citations

Peers

Jun Shimizu
Comparison fields: 5 of 104
  • Neurology 686
  • Molecular Biology 477
  • Cellular and Molecular Neuroscience 434
  • Epidemiology 421
  • Rheumatology 251
Replace J. F. Pellissier with:
J. F. Pellissier France
Pia Bernasconi Italy
Ian Sutton Australia
Liverana Lauretti Italy
Cyril Gitiaux France
Yvonne Richaud‐Patín Mexico
Hiroshi Kuroda Japan
Mohammad Salajegheh United States
Ke Yan China
Jin‐Hong Shin South Korea
Jun Shimizu relative to J. F. Pellissier France J. F. Pellissier's profile →
Citations per field
00.5×4.6×
J. F. Pellissier · 1×
Citations per year

Countries citing papers authored by Jun Shimizu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shimizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shimizu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shimizu. A scholar is included among the top collaborators of Jun Shimizu 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 Jun Shimizu. Jun Shimizu 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 0
3 0
4 1
5 0
6 1
7 5
8 3
9 14
10
IGFII/Akt Signaling Regulates Myocyte Homeostasis in Human Induced Pluripotent Stem (iPS) Cells
1
11 94
12 25
13 152
14 2
15 24
16 57
17 19
18 18
19 8
20 153

About Jun Shimizu

Jun Shimizu is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (28 papers), Peripheral Neuropathies and Disorders (13 papers) and Muscle Physiology and Disorders (10 papers). The work is most often cited by research in Neurology (686 citations), Cellular and Molecular Neuroscience (434 citations) and Rheumatology (251 citations). Jun Shimizu has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shoji Tsuji, Ichiro Kanazawa, Meiko Hashimoto Maeda, Yoshikazu Ugawa, Atsuro Chiba, Seiji Hitoshi, Susumu Kusunoki, Hitoshi Okazawa, Jun Mitsui and Yasuhisa Sakurai. Their work appears in journals such as The Journal of Cell Biology, Brain and 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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