Yu Misao

2.2k citations
28 papers · 1.3k · h-index 16

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Congenital heart defects research 6
    • Signaling Pathways in Disease 4
    • Tissue Engineering and Regenerative Medicine 8

Yu Misao

27 papers receiving 1.3k citations

Peers

Yu Misao
Comparison fields: 5 of 83
  • Genetics 410
  • Biomaterials 269
  • Cardiology and Cardiovascular Medicine 403
  • Surgery 651
  • Molecular Biology 609
Replace Greg Hunt with:
Greg Hunt United States
Farhad Forudi United States
Haakon K. Grøgaard Norway
Vasant Jayasankar United States
Jan Kajstura United States
Mojgan Rezvani Canada
Soichiro Fujiyama Japan
David Simper United States
Timothy J. Pirolli United States
Osamu Iba Japan
Yu Misao relative to Greg Hunt United States Greg Hunt's profile →
Citations per field
00.5×1.5×
Greg Hunt · 1×
Citations per year

Countries citing papers authored by Yu Misao

Since Specialization
Citations

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

Fields of papers citing papers by Yu Misao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004230
2 2008204
3 2009153
4 2008114
5 2006106
6 200695
7 200665
8 200853
9 200547
10 200738
11 200637
12 200728
13 200526
14 200620
15 200519
16 200418
17 200815
18 200613
19 200312
20 200710

About Yu Misao

Yu Misao is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Genetics, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (11 papers), Mesenchymal stem cell research (8 papers), Tissue Engineering and Regenerative Medicine (8 papers), Congenital heart defects research (6 papers), Cardiac Fibrosis and Remodeling (6 papers), Signaling Pathways in Disease (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Genetics (410 citations), Biomaterials (269 citations), Cardiology and Cardiovascular Medicine (403 citations), Surgery (651 citations) and Molecular Biology (609 citations). Yu Misao has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Hisayoshi Fujiwara, Shinya Minatoguchi, Genzou Takemura, Masazumi Arai, Takako Fujiwara, Yoshihiro Uno, Piero Anversa, Annarosa Leri, Jan Kajstura and Toru Hosoda. Their work appears in journals such as Circulation, Circulation Journal, Cardiovascular Research, Journal of Cardiovascular Pharmacology and Journal of Molecular and Cellular Cardiology.

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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