Zichen Wang
- Cancer Research top 0.5%
- Molecular Biology top 0.5%
- Bioinformatics and Genomic Networks 15
- Gene expression and cancer classification 8
- Epigenetics and DNA Methylation 7
- Gene Regulatory Network Analysis 6
- Immunology top 1%
- Aging top 1%
- Biological Psychiatry top 2%
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- Computational Drug Discovery Methods 11
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- Hair Growth and Disorders 4
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- Cell Image Analysis Techniques 4
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- Genetics and Neurodevelopmental Disorders 4
- Co-authors
- Avi Ma’ayanQiaonan DuanNeil R. ClarkNicolas FernandezAndrew D. RouillardYan KouGregory W. GundersenCaroline D. Monteiro
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Zichen Wang
84 papers receiving 15.3k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Cancer Research 2.4k
- Molecular Biology 9.2k
- Immunology 2.2k
- Aging 167
- Biological Psychiatry 200
Countries citing papers authored by Zichen Wang
This map shows the geographic impact of Zichen Wang'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 Zichen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zichen Wang more than expected).
Fields of papers citing papers by Zichen Wang
This network shows the impact of papers produced by Zichen Wang. 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 Zichen Wang. The network helps show where Zichen Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zichen Wang, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 42 | |
| 10 | Mesenchymal stem cells and macrophages and their interactions in tendon-bone healingbreakdown → | 2023 | 72 |
| 11 | 2023 | 8 | |
| 12 | 2023 | 75 | |
| 13 | 2023 | 1 | |
| 14 | 2021 | 24 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 12 | |
| 17 | 2019 | 74 | |
| 18 | 2018 | 19 | |
| 19 | 2018 | 76 | |
| 20 | 2018 | 114 |
About Zichen Wang
Zichen Wang is a scholar working on Biophysics, Computational Theory and Mathematics and Molecular Biology, having authored 90 papers that have together received 15.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Computational Drug Discovery Methods (11 papers), Gene expression and cancer classification (8 papers), Epigenetics and DNA Methylation (7 papers), Gene Regulatory Network Analysis (6 papers), Hair Growth and Disorders (4 papers), Cell Image Analysis Techniques (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Cancer Research (2.4k citations), Molecular Biology (9.2k citations) and Immunology (2.2k citations). Zichen Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Avi Ma’ayan, Qiaonan Duan, Neil R. Clark, Nicolas Fernandez, Andrew D. Rouillard, Yan Kou, Gregory W. Gundersen, Caroline D. Monteiro, Christopher M. Tan and Edward Y. Chen. Their work appears in journals such as Bioinformatics, Nature Communications, Nucleic Acids Research, Scientific Reports and Cell Reports.
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.