Jiaying Yang
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Sulfur Compounds in Biology
-
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Epigenetics and DNA Methylation 3
- Mitochondrial Function and Pathology 3
-
- Amino Acid Enzymes and Metabolism 4
- Co-authors
- Ping H. Wang (3 shared papers)Kevin Lin (1 shared paper)Yufan Wang (8 shared papers)Ursula Stäubli (4 shared papers)Puya G. Yazdi (1 shared paper)Hamid Reza Moradi (1 shared paper)Alan C. Foster (4 shared papers)Yongde Peng (6 shared papers)
- Journals
- Frontiers in Endocrinology (3 papers)PLoS ONE (2 papers)Medicine (2 papers)Expert Review of Vaccines (2 papers)Journal of Diabetes (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jiaying Yang
52 papers receiving 892 citations
Peers
Comparison fields: 5 of 118
- Biochemistry 121
- Hepatology 39
- Clinical Biochemistry 33
- Nephrology 32
- Biological Psychiatry 11
Countries citing papers authored by Jiaying Yang
This map shows the geographic impact of Jiaying Yang'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 Jiaying Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaying Yang more than expected).
Fields of papers citing papers by Jiaying Yang
This network shows the impact of papers produced by Jiaying Yang. 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 Jiaying Yang. The network helps show where Jiaying Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaying Yang, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 76 | |
| 2 | Skeletal muscle mitochondrial depletion and dysfunction in chronic kidney disease. | 2013 | 56 |
| 3 | 2016 | 55 | |
| 4 | 2009 | 52 | |
| 5 | 2015 | 50 | |
| 6 | 2017 | 49 | |
| 7 | 2017 | 46 | |
| 8 | 2017 | 39 | |
| 9 | 2014 | 38 | |
| 10 | 2021 | 37 | |
| 11 | 2011 | 35 | |
| 12 | 2017 | 33 | |
| 13 | 2020 | 31 | |
| 14 | 2023 | 23 | |
| 15 | 2017 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2020 | 20 | |
| 18 | 2001 | 19 | |
| 19 | 2020 | 16 | |
| 20 | 2015 | 16 |
About Jiaying Yang
Jiaying Yang is a scholar working on Molecular Biology, Biochemistry, Immunology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 54 papers that have together received 895 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Epigenetics and DNA Methylation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Mitochondrial Function and Pathology (3 papers), Statistical Methods in Clinical Trials (3 papers), Adipose Tissue and Metabolism (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Biochemistry (121 citations), Hepatology (39 citations), Clinical Biochemistry (33 citations), Nephrology (32 citations) and Biological Psychiatry (11 citations). Jiaying Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ping H. Wang, Kevin Lin, Yufan Wang, Ursula Stäubli, Puya G. Yazdi, Hamid Reza Moradi, Alan C. Foster, Yongde Peng, Veena Viswanath and Xiao‐Yan Qin. Their work appears in journals such as Frontiers in Endocrinology, PLoS ONE, Medicine, Expert Review of Vaccines and Journal of Diabetes.
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.