Yoko Asakura

1.5k citations
30 papers · 1.2k indexed · h-index 19

Impact in

Papers in

    • Mesenchymal stem cell research 4
    • Bacterial Genetics and Biotechnology 2

Yoko Asakura

30 papers receiving 1.1k citations

Peers

Yoko Asakura
Comparison fields: 5 of 96
  • Aging 51
  • Genetics 146
  • Molecular Biology 896
  • Agronomy and Crop Science 92
  • Physiology 189
Replace Douglas C. McFarland with:
Douglas C. McFarland United States
Paul W. Dyce United States
Vered Raz Netherlands
Buom‐Yong Ryu South Korea
Sha Peng China
Dingsheng Zhao China
Guidong Yao China
Vahab D. Soleimani Canada
Chunling Bai China
Jenny M. Oldham New Zealand
Yoko Asakura relative to Douglas C. McFarland United States Douglas C. McFarland's profile →
Citations per field
00.5×2.7×
Douglas C. McFarland · 1×
Citations per year

Countries citing papers authored by Yoko Asakura

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Asakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20233
3 20233
4 202226
5 202126
6 201921
7 2018226
8 201846
9 20174
10 201619
11 201614
12 20158
13 201489
14 201112
15 201139
16 201048
17 200939
18 20064
19 200544
20 199651

About Yoko Asakura

Yoko Asakura is a scholar working on Aging, Genetics, Agronomy and Crop Science, Molecular Biology and Biophysics, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (18 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Mesenchymal stem cell research (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Ubiquitin and proteasome pathways (3 papers), Cell Image Analysis Techniques (2 papers), Anaerobic Digestion and Biogas Production (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Aging (51 citations), Genetics (146 citations), Molecular Biology (896 citations), Agronomy and Crop Science (92 citations) and Physiology (189 citations). Yoko Asakura has collaborated with scholars based in United States, Japan and Panama. Frequent co-authors include Atsushi Asakura, Mayank Verma, Norio Motohashi, Hiroyuki Hirai, Shuichi Watanabe, Thomas Pengo, Linda K. McLoon, Claire Latroche, Bénédicte Chazaud and Ichizo Kobayashi. Their work appears in journals such as The Journal of Cell Biology, Cell Reports, Journal of Visualized Experiments, eLife and Nucleic Acids Research.

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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