Yusuke Joki
Impact in
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- Cardiovascular Disease and Adiposity
- Cardiovascular Function and Risk Factors
- Cardiac Fibrosis and Remodeling
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
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- Kruppel-like factors research 2
- TGF-β signaling in diseases 2
-
- Cardiovascular Disease and Adiposity 4
- Co-authors
- Noriyuki Ouchi (13 shared papers)Takahiro Kambara (12 shared papers)Toyoaki Murohara (13 shared papers)Rei Shibata (12 shared papers)Koji Ohashi (13 shared papers)Yusuke Uemura (11 shared papers)Kazuhiro Matsuo (10 shared papers)Daisuke Yuasa (11 shared papers)
- Journals
- PLoS ONE (4 papers)Circulation Research (2 papers)Circulation (2 papers)The FASEB Journal (2 papers)Circulation Heart Failure (1 paper)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Yusuke Joki
21 papers receiving 825 citations
Yusuke Joki's Hit Papers
Peers
Comparison fields: 5 of 76
- Cardiology and Cardiovascular Medicine 285
- Physiology 295
- Epidemiology 274
- Aging 12
- Rehabilitation 33
Countries citing papers authored by Yusuke Joki
This map shows the geographic impact of Yusuke Joki'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 Yusuke Joki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Joki more than expected).
Fields of papers citing papers by Yusuke Joki
This network shows the impact of papers produced by Yusuke Joki. 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 Yusuke Joki. The network helps show where Yusuke Joki may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusuke Joki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 137 | |
| 2 | 2012 | 103 | |
| 3 | 2015 | 89 | |
| 4 | 2014 | 71 | |
| 5 | SGLT2 inhibition eliminates senescent cells and alleviates pathological aging Hit paper breakdown → | 2024 | 67 |
| 6 | 2014 | 56 | |
| 7 | 2014 | 49 | |
| 8 | 2014 | 47 | |
| 9 | 2014 | 42 | |
| 10 | 2014 | 38 | |
| 11 | 2013 | 37 | |
| 12 | 2012 | 29 | |
| 13 | 2015 | 29 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2019 | 7 | |
| 17 | 2013 | 5 | |
| 18 | Abstract 11475: Overexpression of Human Omentin in a Fat-Specific Manner Attenuates Atherosclerotic Lesion Formation in ApoE-Deficient Mice | 2014 | 2 |
| 19 | 2023 | 2 | |
| 20 | 2021 | 1 |
About Yusuke Joki
Yusuke Joki is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Physiology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 833 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Cardiovascular Disease and Adiposity (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Adipose Tissue and Metabolism (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Kruppel-like factors research (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (285 citations), Physiology (295 citations), Epidemiology (274 citations), Aging (12 citations) and Rehabilitation (33 citations). Yusuke Joki has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Noriyuki Ouchi, Takahiro Kambara, Toyoaki Murohara, Rei Shibata, Koji Ohashi, Yusuke Uemura, Kazuhiro Matsuo, Daisuke Yuasa, Takashi Enomoto and Masanori Ito. Their work appears in journals such as PLoS ONE, Circulation Research, Circulation, The FASEB Journal and Circulation Heart Failure.
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.