Akiyoshi Uezumi

6.6k citations
72 papers · 4.9k indexed · 2 hit papers · h-index 30
Topics
Muscle Physiology and Disorders (59 papers)Mesenchymal stem cell research (20 papers)Tissue Engineering and Regenerative Medicine (20 papers)
Partner nations
JapanGermanyDenmark

In The Last Decade

Akiyoshi Uezumi

68 papers receiving 4.9k citations

Hit Papers

Mesenchymal progenitors distinct from satellite cells con...2010202620152020201020112505007501000

Peers

Akiyoshi Uezumi
Comparison fields: 5 of 110
  • Molecular Biology 3.8k
  • Surgery 1.4k
  • Genetics 1.3k
  • Physiology 1.2k
  • Rehabilitation 454
Replace So‐ichiro Fukada with:
So‐ichiro Fukada Japan
Fabien Le Grand France
Yuko Miyagoe‐Suzuki Japan
C. Florian Bentzinger Canada
Nicolas A. Dumont Canada
Atsushi Asakura United States
Xiying Wu United States
Julia von Maltzahn Germany
Sophie Chargé Canada
DDW Cornelison United States
Akiyoshi Uezumi relative to So‐ichiro Fukada Japan So‐ichiro Fukada's profile →
Citations per field
00.5×1.5×
So‐ichiro Fukada · 1×
Citations per year

Countries citing papers authored by Akiyoshi Uezumi

Since Specialization
Citations

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

Fields of papers citing papers by Akiyoshi Uezumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiyoshi Uezumi

This figure shows the co-authorship network connecting the top 25 collaborators of Akiyoshi Uezumi. A scholar is included among the top collaborators of Akiyoshi Uezumi 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 Akiyoshi Uezumi. Akiyoshi Uezumi 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 4
4 5
5 15
6 56
7 38
8 43
9 27
10 21
11 25
12 14
13 86
14 1
15 230
16 51
17 152
18 69
19 19
20 149

About Akiyoshi Uezumi

Akiyoshi Uezumi is a scholar working on Genetics, Molecular Biology and Rehabilitation, having authored 72 papers that have together received 4.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (59 papers), Mesenchymal stem cell research (20 papers) and Tissue Engineering and Regenerative Medicine (20 papers). The work is most often cited by research in Genetics (1.3k citations), Aging (138 citations) and Rehabilitation (454 citations). Akiyoshi Uezumi has collaborated with scholars based in Japan, Germany and Denmark. Frequent co-authors include So‐ichiro Fukada, Kunihiro Tsuchida, Shin’ichi Takeda, Naoki Yamamoto, Yuko Miyagoe‐Suzuki, Madoka Ikemoto‐Uezumi, Hiroshi Yamamoto, Masashi Nakatani, Masashi Segawa and Kazutake Tsujikawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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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