Hang‐zi Chen

3.8k citations
33 papers · 2.3k indexed · 2 hit papers · h-index 25
Topics
Nuclear Receptors and Signaling (21 papers)Macrophage Migration Inhibitory Factor (12 papers)Circular RNAs in diseases (5 papers)
Partner nations
ChinaTaiwanAustralia

In The Last Decade

Hang‐zi Chen

30 papers receiving 2.3k citations

Hit Papers

Tom20 senses iron-activated ROS signaling to promote mela...201820262020202320182021100200300400500

Peers

Hang‐zi Chen
Comparison fields: 5 of 93
  • Molecular Biology 1.6k
  • Immunology 732
  • Cellular and Molecular Neuroscience 564
  • Cancer Research 490
  • Pulmonary and Respiratory Medicine 280
Replace Yasuhiro Mitsuuchi with:
Yasuhiro Mitsuuchi United States
David F. Kashatus United States
Daichao Xu China
Bernd Weigle Germany
Amy Leung United States
Sébastien Cagnol Canada
Iphigenia L. Koumenis United States
Zherui Wu China
Mei Yi China
Jiing-Dwan Lee United States
Hang‐zi Chen relative to Yasuhiro Mitsuuchi United States Yasuhiro Mitsuuchi's profile →
Citations per field
00.5×7.3×
Yasuhiro Mitsuuchi · 1×
Citations per year

Countries citing papers authored by Hang‐zi Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Hang‐zi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hang‐zi Chen. A scholar is included among the top collaborators of Hang‐zi Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hang‐zi Chen. Hang‐zi Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 38
5 70
6 4
7 89
8
The metabolite α-KG induces GSDMC-dependent pyroptosis through death receptor 6-activated caspase-8breakdown →
270
9 42
10 107
11 76
12 64
13 27
14 111
15 67
16 28
17 89
18
Prolyl isomerase Pin1 plays a dual role in cell proliferation and apoptosis by isomerizing orphan receptor TR3
1
19 27
20 31

About Hang‐zi Chen

Hang‐zi Chen is a scholar working on Cellular and Molecular Neuroscience, Immunology and Molecular Biology, 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) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Immunology (732 citations), Cancer Research (490 citations) and Cellular and Molecular Neuroscience (564 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 Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

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.

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