Yiliang Chen
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism 7
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases 5
- Nephrology top 5%
- Molecular Biology top 10%
- Ion Transport and Channel Regulation 14
- Cell Biology top 10%
- Caveolin-1 and cellular processes 6
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- Petri Nets in System Modeling 5
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- Adipose Tissue and Metabolism 4
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- Molecular Sensors and Ion Detection 4
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- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- Roy L. SilversteinWeiguo CuiJue ZhangZijian XieYanjuan HouGregory ProvanMoua YangHaojie Wang
- Cited by
- Cancer ResearchImmunologyNephrology
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (4 papers)Journal of Biological Chemistry (3 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Yiliang Chen
75 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cancer Research 199
- Immunology 275
- Nephrology 92
- Molecular Biology 772
- Cell Biology 140
Countries citing papers authored by Yiliang Chen
This map shows the geographic impact of Yiliang Chen'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 Yiliang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiliang Chen more than expected).
Fields of papers citing papers by Yiliang Chen
This network shows the impact of papers produced by Yiliang Chen. 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 Yiliang Chen. The network helps show where Yiliang Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yiliang Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 0 | |
| 12 | 2021 | 38 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 7 | |
| 16 | 2020 | 11 | |
| 17 | 2016 | 12 | |
| 18 | 2014 | 12 | |
| 19 | Preliminary Studies on Two-dimensional Electrophoresis for Proteome of Phalaenopsis Leaves | 2010 | 1 |
| 20 | 1999 | 5 |
About Yiliang Chen
Yiliang Chen is a scholar working on Cancer Research, Complementary and alternative medicine and Biochemistry, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (14 papers), Cancer, Lipids, and Metabolism (7 papers), Caveolin-1 and cellular processes (6 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Petri Nets in System Modeling (5 papers), Adipose Tissue and Metabolism (4 papers), Molecular Sensors and Ion Detection (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Cancer Research (199 citations), Immunology (275 citations) and Nephrology (92 citations). Yiliang Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Roy L. Silverstein, Weiguo Cui, Jue Zhang, Zijian Xie, Yanjuan Hou, Gregory Provan, Moua Yang, Haojie Wang, Devi Prasadh Ramakrishnan and Wenxin Huang. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biological Chemistry, Cancer Research, Frontiers in Cardiovascular Medicine and International Journal of Environmental Research and Public Health.
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.