Zhe Chen
- Structural Biology top 0.2%
- Advanced Electron Microscopy Techniques and Applications 9
- Cell Biology top 1%
- Microtubule and mitosis dynamics 5
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 14
- Ubiquitin and proteasome pathways 7
- RNA modifications and cancer 7
- Biochemical and Molecular Research 5
- Aging top 5%
- Surfaces, Coatings and Films top 2%
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- Enzyme Structure and Function 10
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- Cancer-related Molecular Pathways 7
- Co-authors
- Nikolaus GrigorieffStephen R. SprangMichael G. RothDeborah A. BrownKarin MelkonianAnne G. OstermeyerStephen C. HarrisonPaul C. Sternweis
- Partner nations
- United StatesChinaJapan
In The Last Decade
Zhe Chen
114 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Structural Biology 586
- Cell Biology 895
- Molecular Biology 3.6k
- Aging 75
- Surfaces, Coatings and Films 292
Countries citing papers authored by Zhe Chen
This map shows the geographic impact of Zhe 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 Zhe Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhe Chen more than expected).
Fields of papers citing papers by Zhe Chen
This network shows the impact of papers produced by Zhe 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 Zhe Chen. The network helps show where Zhe Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhe 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 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 76 | |
| 11 | 2022 | 2 | |
| 12 | 2020 | 35 | |
| 13 | La2O3 Nanoparticles Induce Reproductive Toxicity Mediated by the Nrf-2/ARE Signaling Pathway in Kunming Mice | 2020 | 0 |
| 14 | 2020 | 7 | |
| 15 | 2018 | 33 | |
| 16 | [Mechanism of platycodin D-induced apoptosis in A549 human lung cancer cells]. | 2012 | 5 |
| 17 | 2010 | 47 | |
| 18 | 2009 | 117 | |
| 19 | 2009 | 0 | |
| 20 | 2007 | 77 |
About Zhe Chen
Zhe Chen is a scholar working on Structural Biology, Aging and Cell Biology, having authored 123 papers that have together received 6.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (14 papers), Enzyme Structure and Function (10 papers), Advanced Electron Microscopy Techniques and Applications (9 papers), Ubiquitin and proteasome pathways (7 papers), Cancer-related Molecular Pathways (7 papers), RNA modifications and cancer (7 papers), Biochemical and Molecular Research (5 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Structural Biology (586 citations), Cell Biology (895 citations) and Molecular Biology (3.6k citations). Zhe Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Nikolaus Grigorieff, Stephen R. Sprang, Michael G. Roth, Deborah A. Brown, Karin Melkonian, Anne G. Ostermeyer, Stephen C. Harrison, Paul C. Sternweis, Junji Yodoi and Eiji Yoshihara. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.