Wei Ying
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 5%
- Immune cells in cancer
Papers in
-
- MicroRNA in disease regulation 15
- Immunology 18
- Immune cells in cancer 10
- Immune Cell Function and Interaction 5
- Co-authors
- Jerrold M. Olefsky (13 shared papers)Felipe C.G. Reis (6 shared papers)Wenxian Fu (4 shared papers)Gautam Kumar Bandyopadhyay (12 shared papers)Roi Isaac (5 shared papers)Joshua Wollam (6 shared papers)Jachelle M. Ofrecio (4 shared papers)Pingping Li (3 shared papers)
- Journals
- Cell Metabolism (6 papers)Nature Metabolism (3 papers)Cell (2 papers)Diabetes (2 papers)Endocrinology (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Wei Ying
45 papers receiving 4.5k citations
Wei Ying's Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 1.1k
- Immunology 971
- Molecular Biology 2.4k
- Epidemiology 780
- Physiology 566
Countries citing papers authored by Wei Ying
This map shows the geographic impact of Wei Ying'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 Wei Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ying more than expected).
Fields of papers citing papers by Wei Ying
This network shows the impact of papers produced by Wei Ying. 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 Wei Ying. The network helps show where Wei Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Ying, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adipose Tissue Macrophage-Derived Exosomal miRNAs Can Modulate In Vivo and In Vitro Insulin Sensitivity Hit paper breakdown → | 2017 | 1005 |
| 2 | Exosomes as mediators of intercellular crosstalk in metabolism Hit paper breakdown → | 2021 | 614 |
| 3 | The role of macrophages in obesity-associated islet inflammation and β-cell abnormalities Hit paper breakdown → | 2019 | 296 |
| 4 | 2013 | 282 | |
| 5 | 2016 | 259 | |
| 6 | 2021 | 249 | |
| 7 | 2018 | 205 | |
| 8 | Aberrant iron distribution via hepatocyte-stellate cell axis drives liver lipogenesis and fibrosis Hit paper breakdown → | 2022 | 186 |
| 9 | 2015 | 132 | |
| 10 | 2017 | 109 | |
| 11 | 2014 | 105 | |
| 12 | 2022 | 104 | |
| 13 | 2020 | 103 | |
| 14 | 2022 | 86 | |
| 15 | 2021 | 74 | |
| 16 | 2022 | 73 | |
| 17 | 2024 | 69 | |
| 18 | 2017 | 63 | |
| 19 | 2018 | 55 | |
| 20 | 2015 | 52 |
About Wei Ying
Wei Ying is a scholar working on Cancer Research, Immunology, Epidemiology, Physiology and Molecular Biology, having authored 47 papers that have together received 4.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Extracellular vesicles in disease (11 papers), Immune cells in cancer (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Adipose Tissue and Metabolism (6 papers), Immune Cell Function and Interaction (5 papers), Circular RNAs in diseases (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Cancer Research (1.1k citations), Immunology (971 citations), Molecular Biology (2.4k citations), Epidemiology (780 citations) and Physiology (566 citations). Wei Ying has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jerrold M. Olefsky, Felipe C.G. Reis, Wenxian Fu, Gautam Kumar Bandyopadhyay, Roi Isaac, Joshua Wollam, Jachelle M. Ofrecio, Pingping Li, Yun Sok Lee and Matthew Riopel. Their work appears in journals such as Cell Metabolism, Nature Metabolism, Cell, Diabetes and Endocrinology.
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.