Hang‐zi Chen
Impact in
- Immunology top 5%
- Macrophage Migration Inhibitory Factor
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Circular RNAs in diseases 5
- Inflammasome and immune disorders 4
- Signaling Pathways in Disease 2
- Wnt/β-catenin signaling in development and cancer 2
- Epigenetics and DNA Methylation 2
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- Nuclear Receptors and Signaling 21
- Co-authors
- Qiao Wu (28 shared papers)Yuan-li Ai (8 shared papers)Dawang Zhou (4 shared papers)Kang Cheng (2 shared papers)Jiahuai Han (2 shared papers)Bo Zhou (2 shared papers)Peipei Hou (6 shared papers)Jianping He (10 shared papers)
In The Last Decade
Hang‐zi Chen
30 papers receiving 2.3k citations
Hang‐zi Chen's Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 732
- Cancer Research 490
- Cellular and Molecular Neuroscience 564
- Molecular Biology 1.6k
- Nephrology 149
Countries citing papers authored by Hang‐zi Chen
This map shows the geographic impact of Hang‐zi 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 Hang‐zi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang‐zi Chen more than expected).
Fields of papers citing papers by Hang‐zi Chen
This network shows the impact of papers produced by Hang‐zi 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 Hang‐zi Chen. The network helps show where Hang‐zi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang‐zi 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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tom20 senses iron-activated ROS signaling to promote melanoma cell pyroptosis Hit paper breakdown → | 2018 | 520 |
| 2 | The metabolite α-KG induces GSDMC-dependent pyroptosis through death receptor 6-activated caspase-8 Hit paper breakdown → | 2021 | 270 |
| 3 | 2020 | 180 | |
| 4 | 2015 | 134 | |
| 5 | 2017 | 111 | |
| 6 | 2020 | 107 | |
| 7 | 2018 | 101 | |
| 8 | 2010 | 89 | |
| 9 | 2022 | 89 | |
| 10 | 2020 | 76 | |
| 11 | 2023 | 70 | |
| 12 | 2011 | 67 | |
| 13 | 2020 | 64 | |
| 14 | 2006 | 60 | |
| 15 | 2021 | 42 | |
| 16 | 2024 | 38 | |
| 17 | 2015 | 35 | |
| 18 | 2012 | 32 | |
| 19 | 2006 | 31 | |
| 20 | 2007 | 31 |
About Hang‐zi Chen
Hang‐zi Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Oncology and Cancer Research, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (21 papers), Macrophage Migration Inhibitory Factor (12 papers), Circular RNAs in diseases (5 papers), Inflammasome and immune disorders (4 papers), Signaling Pathways in Disease (2 papers), MicroRNA in disease regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Immunology (732 citations), Cancer Research (490 citations), Cellular and Molecular Neuroscience (564 citations), Molecular Biology (1.6k citations) and Nephrology (149 citations). Hang‐zi Chen has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Qiao Wu, Yuan-li Ai, Dawang Zhou, Kang Cheng, Jiahuai Han, Bo Zhou, Peipei Hou, Jianping He, Qi-Tao Chen and Wenxiu Zhao. Their work appears in journals such as Cell Research, Cancer Research, Molecular Cell, Molecular Endocrinology and Cancer Letters.
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.