Daisuke Yuasa

1.7k citations
24 papers · 1.5k · h-index 22

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 13
    • TGF-β signaling in diseases 3
    • Fibroblast Growth Factor Research 1
    • Angiogenesis and VEGF in Cancer 1

Daisuke Yuasa

24 papers receiving 1.5k citations

Peers

Daisuke Yuasa
Comparison fields: 5 of 80
  • Cardiology and Cardiovascular Medicine 435
  • Epidemiology 592
  • Physiology 406
  • Endocrine and Autonomic Systems 52
  • Molecular Biology 425
Replace Takahiro Kambara with:
Takahiro Kambara Japan
Sonomi Maruyama Japan
Mizuho Hiramatsu‐Ito Japan
Christopher Church United States
Yusuke Joki Japan
Hiroyuki Mori United States
Eleonora Mondini Italy
Michael J. Raher United States
Ellen R. Lubbers United States
Anna Sepe Italy
Daisuke Yuasa relative to Takahiro Kambara Japan Takahiro Kambara's profile →
Citations per field
00.5×1.5×
Takahiro Kambara · 1×
Citations per year

Countries citing papers authored by Daisuke Yuasa

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Yuasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014153
2 2012150
3 2012150
4 2012103
5 201594
6 201589
7 201579
8 201474
9 201571
10 201456
11 201451
12 201449
13 201344
14 201442
15 201439
16 201738
17 201337
18 201935
19 201231
20 201530

About Daisuke Yuasa

Daisuke Yuasa is a scholar working on Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (13 papers), Cardiovascular Disease and Adiposity (4 papers), Adipose Tissue and Metabolism (4 papers), TGF-β signaling in diseases (3 papers), Nerve injury and regeneration (2 papers), Ion Channels and Receptors (2 papers), Fibroblast Growth Factor Research (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (435 citations), Epidemiology (592 citations), Physiology (406 citations), Endocrine and Autonomic Systems (52 citations) and Molecular Biology (425 citations). Daisuke Yuasa has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Noriyuki Ouchi, Koji Ohashi, Rei Shibata, Toyoaki Murohara, Takahiro Kambara, Kazuhiro Matsuo, Yusuke Uemura, Takashi Enomoto, Yoshiyuki Kataoka and Mizuho Hiramatsu‐Ito. Their work appears in journals such as The FASEB Journal, Cardiovascular Research, Biochemical and Biophysical Research Communications, Circulation and PLoS ONE.

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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