Yang‐An Wen
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
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- RNA modifications and cancer
- Metabolism, Diabetes, and Cancer
- Epigenetics and DNA Methylation
- Peroxisome Proliferator-Activated Receptors
Papers in
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- Wnt/β-catenin signaling in development and cancer 4
- Metabolism, Diabetes, and Cancer 2
- ATP Synthase and ATPases Research 2
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- Hippo pathway signaling and YAP/TAZ 3
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Tianyan Gao (12 shared papers)Heidi L. Weiss (6 shared papers)Yekaterina Y. Zaytseva (4 shared papers)B. Mark Evers (4 shared papers)Xiaopeng Xiong (7 shared papers)Dana Napier (2 shared papers)Mihail I. Mitov (2 shared papers)Jennifer W. Harris (1 shared paper)
- Journals
- Cell Death and Disease (4 papers)Clinical and Experimental Medicine (1 paper)Cell Death Discovery (1 paper)Experimental and Toxicologic Pathology (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Yang‐An Wen
16 papers receiving 762 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 394
- Molecular Biology 498
- Biochemistry 45
- Cell Biology 74
- Oncology 109
Countries citing papers authored by Yang‐An Wen
This map shows the geographic impact of Yang‐An Wen'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 Yang‐An Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang‐An Wen more than expected).
Fields of papers citing papers by Yang‐An Wen
This network shows the impact of papers produced by Yang‐An Wen. 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 Yang‐An Wen. The network helps show where Yang‐An Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang‐An Wen, 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 | 2017 | 223 | |
| 2 | 2018 | 177 | |
| 3 | 2017 | 66 | |
| 4 | 2020 | 62 | |
| 5 | 2013 | 42 | |
| 6 | 2015 | 37 | |
| 7 | 2012 | 26 | |
| 8 | 2018 | 24 | |
| 9 | 2020 | 20 | |
| 10 | 2016 | 20 | |
| 11 | 2021 | 16 | |
| 12 | 2009 | 14 | |
| 13 | 2010 | 14 | |
| 14 | 2016 | 12 | |
| 15 | 2009 | 9 | |
| 16 | 2015 | 1 |
About Yang‐An Wen
Yang‐An Wen is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Surgery and Immunology, having authored 16 papers that have together received 763 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Phagocytosis and Immune Regulation (2 papers), Cancer, Lipids, and Metabolism (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Cancer Research (394 citations), Molecular Biology (498 citations), Biochemistry (45 citations), Cell Biology (74 citations) and Oncology (109 citations). Yang‐An Wen has collaborated with scholars based in United States, China and France. Frequent co-authors include Tianyan Gao, Heidi L. Weiss, Yekaterina Y. Zaytseva, B. Mark Evers, Xiaopeng Xiong, Dana Napier, Mihail I. Mitov, Jennifer W. Harris, Chi Wang and Payton D. Stevens. Their work appears in journals such as Cell Death and Disease, Clinical and Experimental Medicine, Cell Death Discovery, Experimental and Toxicologic Pathology and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.