Chun-Cai Gu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
Papers in
-
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- RNA Research and Splicing 2
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 4
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Side Liu (10 shared papers)Yuxin Fang (7 shared papers)Qingyuan Li (6 shared papers)Qun Yan (6 shared papers)Qiuhua Lai (7 shared papers)Xinke Wang (5 shared papers)Yue Zhang (5 shared papers)Jianqun Cai (4 shared papers)
- Journals
- Cell Death and Disease (4 papers)Aging (2 papers)Clinical Cancer Research (1 paper)International Journal of Medical Sciences (1 paper)Cancer Letters (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chun-Cai Gu
17 papers receiving 838 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 479
- Molecular Biology 635
- Physiology 34
- Oncology 155
- Immunology 74
Countries citing papers authored by Chun-Cai Gu
This map shows the geographic impact of Chun-Cai Gu'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-Cai Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Cai Gu more than expected).
Fields of papers citing papers by Chun-Cai Gu
This network shows the impact of papers produced by Chun-Cai Gu. 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-Cai Gu. The network helps show where Chun-Cai Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun-Cai Gu, 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 | 2019 | 165 | |
| 2 | 2018 | 135 | |
| 3 | 2019 | 88 | |
| 4 | 2019 | 83 | |
| 5 | 2020 | 81 | |
| 6 | 2020 | 69 | |
| 7 | 2022 | 37 | |
| 8 | 2020 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2018 | 28 | |
| 11 | 2020 | 26 | |
| 12 | 2016 | 25 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2017 | 5 | |
| 17 | 2024 | 1 |
About Chun-Cai Gu
Chun-Cai Gu is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Surgery and Oncology, having authored 17 papers that have together received 846 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (4 papers), Genetic factors in colorectal cancer (3 papers), Circular RNAs in diseases (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Cancer Research (479 citations), Molecular Biology (635 citations), Physiology (34 citations), Oncology (155 citations) and Immunology (74 citations). Chun-Cai Gu has collaborated with scholars based in China and United States. Frequent co-authors include Side Liu, Yuxin Fang, Qingyuan Li, Qun Yan, Qiuhua Lai, Xinke Wang, Yue Zhang, Jianqun Cai, Juan He and Lu Han. Their work appears in journals such as Cell Death and Disease, Aging, Clinical Cancer Research, International Journal of Medical Sciences 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.