Chun Gao
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Molecular Biology top 5%
- Connexins and lens biology
- Metabolism, Diabetes, and Cancer
- Wnt/β-catenin signaling in development and cancer
- Epigenetics and DNA Methylation
Papers in
- Cell Biology 15
- Microtubule and mitosis dynamics 6
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- Connexins and lens biology 16
- Metabolism, Diabetes, and Cancer 8
- Wnt/β-catenin signaling in development and cancer 8
- Co-authors
- Peggy S. ZelenkaShukun YaoLong FangRobert N. FarissSenthil S. SaravanamuthuHui ZhangWang AiyingHong-Chuan Zhao
- Journals
- Scientific Reports (4 papers)Journal of Biological Chemistry (4 papers)Cancer Research (3 papers)Journal of Cell Science (3 papers)Developmental Biology (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Chun Gao
89 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 124
- Cell Biology 320
- Molecular Biology 1.3k
- Oncology 465
- Ophthalmology 147
- Cancer Research 234
Countries citing papers authored by Chun Gao
This map shows the geographic impact of Chun Gao'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 Chun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Gao more than expected).
Fields of papers citing papers by Chun Gao
This network shows the impact of papers produced by Chun Gao. 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 Chun Gao. The network helps show where Chun Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Gao, 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 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 5 | |
| 11 | 2017 | 59 | |
| 12 | 2014 | 65 | |
| 13 | 2011 | 41 | |
| 14 | 2009 | 2 | |
| 15 | The Cdk5 Activating Protein, p39, Complexes With Muskelin to Regulate Cell Adhesion on Thrombospondin | 2003 | 2 |
| 16 | EXPLORING THE EFFECTS OF NITROGEN DEFICIENCY ON THE SLUDGE BULKING AT DIFFERENT ORGANIC LOADING | 2002 | 0 |
| 17 | On-Line Detection of Oxygen Uptake Rate in SBR Process and Error Analysis | 2001 | 0 |
| 18 | 1998 | 24 | |
| 19 | 1998 | 31 | |
| 20 | 1995 | 34 |
About Chun Gao
Chun Gao is a scholar working on Cell Biology, Molecular Biology, Oncology, Cancer Research and Urology, having authored 97 papers that have together received 2.2k indexed citations. Recurring topics across this work include Connexins and lens biology (16 papers), Cancer-related Molecular Pathways (10 papers), Metabolism, Diabetes, and Cancer (8 papers), Wnt/β-catenin signaling in development and cancer (8 papers), Corneal Surgery and Treatments (8 papers), Gastric Cancer Management and Outcomes (7 papers), Microtubule and mitosis dynamics (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Cell Biology (320 citations), Molecular Biology (1.3k citations), Oncology (465 citations), Ophthalmology (147 citations) and Cancer Research (234 citations). Chun Gao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Peggy S. Zelenka, Shukun Yao, Long Fang, Robert N. Fariss, Senthil S. Saravanamuthu, Hui Zhang, Wang Aiying, Hong-Chuan Zhao, Haiying He and Dolena Ledee. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, Cancer Research, Journal of Cell Science and Developmental Biology.
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.