Dewei Ye
Impact in
- Hepatology top 5%
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
- Epidemiology 20
- Liver Disease Diagnosis and Treatment 15
- Adipokines, Inflammation, and Metabolic Diseases 4
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- Fibroblast Growth Factor Research 7
- Kruppel-like factors research 5
- Co-authors
- Aimin Xu (21 shared papers)Yu Wang (10 shared papers)Karen S.L. Lam (7 shared papers)Ruby L.C. Hoo (5 shared papers)Xiaoyan Hui (4 shared papers)Tianshi Feng (3 shared papers)Karen Siu Ling Lam (2 shared papers)Yong Pan (2 shared papers)
In The Last Decade
Dewei Ye
47 papers receiving 2.9k citations
Dewei Ye's Hit Papers
Peers
Comparison fields: 5 of 118
- Hepatology 220
- Epidemiology 905
- Immunology 449
- Molecular Biology 1.4k
- Physiology 534
Countries citing papers authored by Dewei Ye
This map shows the geographic impact of Dewei Ye'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 Dewei Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dewei Ye more than expected).
Fields of papers citing papers by Dewei Ye
This network shows the impact of papers produced by Dewei Ye. 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 Dewei Ye. The network helps show where Dewei Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Dewei Ye, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adipocyte-secreted exosomal microRNA-34a inhibits M2 macrophage polarization to promote obesity-induced adipose inflammation Hit paper breakdown → | 2019 | 364 |
| 2 | Gut Microbiome Fermentation Determines the Efficacy of Exercise for Diabetes Prevention Hit paper breakdown → | 2019 | 285 |
| 3 | 2015 | 221 | |
| 4 | 2012 | 160 | |
| 5 | 2016 | 159 | |
| 6 | 2014 | 156 | |
| 7 | 2014 | 155 | |
| 8 | 2016 | 140 | |
| 9 | 2022 | 104 | |
| 10 | 2020 | 101 | |
| 11 | 2013 | 79 | |
| 12 | 2021 | 77 | |
| 13 | 2020 | 71 | |
| 14 | 2014 | 67 | |
| 15 | 2015 | 62 | |
| 16 | 2021 | 59 | |
| 17 | 2022 | 51 | |
| 18 | 2020 | 46 | |
| 19 | 2021 | 45 | |
| 20 | 2022 | 44 |
About Dewei Ye
Dewei Ye is a scholar working on Epidemiology, Molecular Biology, Immunology, Surgery and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 2.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (15 papers), Fibroblast Growth Factor Research (7 papers), Kruppel-like factors research (5 papers), Liver Disease and Transplantation (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Immune cells in cancer (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Pancreatitis Pathology and Treatment (3 papers). The work is most often cited by research in Hepatology (220 citations), Epidemiology (905 citations), Immunology (449 citations), Molecular Biology (1.4k citations) and Physiology (534 citations). Dewei Ye has collaborated with scholars based in China, Hong Kong and Czechia. Frequent co-authors include Aimin Xu, Yu Wang, Karen S.L. Lam, Ruby L.C. Hoo, Xiaoyan Hui, Tianshi Feng, Karen Siu Ling Lam, Yong Pan, Jiao Guo and Huating Li. Their work appears in journals such as Nature Communications, Diabetes, Journal of Ethnopharmacology, Biomedicine & Pharmacotherapy and Chemical Engineering Journal.
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.