Chao‐Wei Hung
Impact in
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- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
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- Lipid metabolism and biosynthesis
Papers in
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- Metabolism, Diabetes, and Cancer 2
- Peroxisome Proliferator-Activated Receptors 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Ubiquitin and proteasome pathways 1
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- Adipokines, Inflammation, and Metabolic Diseases 2
- Co-authors
- Shannon M. Reilly (3 shared papers)Alan R. Saltiel (4 shared papers)Mara C. Duncan (3 shared papers)Christian M. Metallo (2 shared papers)Anne N. Murphy (2 shared papers)Jong Bae Seo (1 shared paper)Jin Young Huh (1 shared paper)Courtney R. Green (1 shared paper)
- Journals
- Cell Metabolism (1 paper)Nature Metabolism (1 paper)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesAustriaTaiwan
In The Last Decade
Chao‐Wei Hung
8 papers receiving 229 citations
Peers
Comparison fields: 5 of 74
- Cell Biology 44
- Biochemistry 17
- Physiology 52
- Cancer Research 25
- Molecular Biology 109
Countries citing papers authored by Chao‐Wei Hung
This map shows the geographic impact of Chao‐Wei Hung'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 Chao‐Wei Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Wei Hung more than expected).
Fields of papers citing papers by Chao‐Wei Hung
This network shows the impact of papers produced by Chao‐Wei Hung. 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 Chao‐Wei Hung. The network helps show where Chao‐Wei Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao‐Wei Hung, 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 | 2020 | 93 | |
| 2 | 2020 | 37 | |
| 3 | 2018 | 35 | |
| 4 | 2018 | 28 | |
| 5 | 2012 | 10 | |
| 6 | 2023 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2021 | 9 |
About Chao‐Wei Hung
Chao‐Wei Hung is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Physiology and Immunology, having authored 8 papers that have together received 230 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cellular transport and secretion (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Adipose Tissue and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cell Biology (44 citations), Biochemistry (17 citations), Physiology (52 citations), Cancer Research (25 citations) and Molecular Biology (109 citations). Chao‐Wei Hung has collaborated with scholars based in United States, Austria and Taiwan. Frequent co-authors include Shannon M. Reilly, Alan R. Saltiel, Mara C. Duncan, Christian M. Metallo, Anne N. Murphy, Jong Bae Seo, Jin Young Huh, Courtney R. Green, Sushil K. Mahata and Mohammad Abu-Odeh. Their work appears in journals such as Cell Metabolism, Nature Metabolism, Scientific Reports, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.