Yu An
Impact in
- Physiology top 1%
- Adipose Tissue and Metabolism
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
- Physiology 34
- Adipose Tissue and Metabolism 28
- Epidemiology 22
- Adipokines, Inflammation, and Metabolic Diseases 16
- Autophagy in Disease and Therapy 4
- Co-authors
- Philipp E Scherer (21 shared papers)Clair Crewe (4 shared papers)Pingang He (8 shared papers)Fan Zhang (5 shared papers)Christine M. Kusminski (11 shared papers)Lu Tie (11 shared papers)Yan Pan (11 shared papers)Jing Han (6 shared papers)
- Journals
- Molecular Metabolism (4 papers)Journal of Electroanalytical Chemistry (4 papers)Cell Metabolism (3 papers)Diabetes (3 papers)Nature Metabolism (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yu An
116 papers receiving 5.2k citations
Yu An's Hit Papers
Peers
Comparison fields: 5 of 138
- Physiology 1.4k
- Cancer Research 541
- Epidemiology 1.1k
- Rehabilitation 219
- Molecular Biology 2.1k
Countries citing papers authored by Yu An
This map shows the geographic impact of Yu An'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 An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu An more than expected).
Fields of papers citing papers by Yu An
This network shows the impact of papers produced by Yu An. 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 An. The network helps show where Yu An may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu An, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The ominous triad of adipose tissue dysfunction: inflammation, fibrosis, and impaired angiogenesis Hit paper breakdown → | 2017 | 555 |
| 2 | Extracellular vesicle-based interorgan transport of mitochondria from energetically stressed adipocytes Hit paper breakdown → | 2021 | 341 |
| 3 | 2012 | 234 | |
| 4 | 2018 | 191 | |
| 5 | 2004 | 174 | |
| 6 | 2018 | 164 | |
| 7 | 2019 | 157 | |
| 8 | 2020 | 130 | |
| 9 | 2014 | 130 | |
| 10 | 2018 | 126 | |
| 11 | 2017 | 105 | |
| 12 | 2007 | 100 | |
| 13 | 2017 | 95 | |
| 14 | 2020 | 91 | |
| 15 | 2006 | 83 | |
| 16 | 2012 | 82 | |
| 17 | 2020 | 77 | |
| 18 | 2012 | 74 | |
| 19 | 2009 | 71 | |
| 20 | 2020 | 69 |
About Yu An
Yu An is a scholar working on Physiology, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 119 papers that have together received 5.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (28 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers), Cardiovascular Disease and Adiposity (10 papers), Cholesterol and Lipid Metabolism (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), Extracellular vesicles in disease (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Physiology (1.4k citations), Cancer Research (541 citations), Epidemiology (1.1k citations), Rehabilitation (219 citations) and Molecular Biology (2.1k citations). Yu An has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Philipp E Scherer, Clair Crewe, Pingang He, Fan Zhang, Christine M. Kusminski, Lu Tie, Yan Pan, Jing Han, Xueyang Pan and Xuejun Li. Their work appears in journals such as Molecular Metabolism, Journal of Electroanalytical Chemistry, Cell Metabolism, Diabetes and Nature Metabolism.
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.