Chunchun Zhao
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Epigenetics and DNA Methylation 5
- Renal and related cancers 3
- RNA and protein synthesis mechanisms 3
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- Prostate Cancer Treatment and Research 3
- Ferroptosis and cancer prognosis 3
- Co-authors
- Sartaj Sahni (8 shared papers)Jun Tao (9 shared papers)Zhijian Han (9 shared papers)Jianqing Wang (10 shared papers)Zijie Wang (8 shared papers)Caibin Fan (9 shared papers)Ruoyun Tan (5 shared papers)Zhen Xu (3 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (3 papers)BMC Bioinformatics (3 papers)Gene (2 papers)Infectious Diseases of Poverty (2 papers)Pharmaceutical Biology (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Chunchun Zhao
48 papers receiving 635 citations
Peers
Comparison fields: 5 of 119
- Transplantation 35
- Cancer Research 70
- Nephrology 31
- Molecular Biology 227
- Computer Graphics and Computer-Aided Design 11
Countries citing papers authored by Chunchun Zhao
This map shows the geographic impact of Chunchun Zhao'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 Chunchun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunchun Zhao more than expected).
Fields of papers citing papers by Chunchun Zhao
This network shows the impact of papers produced by Chunchun Zhao. 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 Chunchun Zhao. The network helps show where Chunchun Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunchun Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 76 | |
| 2 | 2019 | 58 | |
| 3 | 2022 | 37 | |
| 4 | 2019 | 37 | |
| 5 | 2018 | 32 | |
| 6 | 2017 | 25 | |
| 7 | 2019 | 25 | |
| 8 | 2022 | 25 | |
| 9 | 2018 | 24 | |
| 10 | 2017 | 23 | |
| 11 | 2017 | 21 | |
| 12 | 2016 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2013 | 16 | |
| 16 | 2019 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2009 | 13 |
About Chunchun Zhao
Chunchun Zhao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Artificial Intelligence and Transplantation, having authored 52 papers that have together received 644 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Algorithms and Data Compression (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Renal and related cancers (3 papers), Prostate Cancer Treatment and Research (3 papers), Ferroptosis and cancer prognosis (3 papers), RNA and protein synthesis mechanisms (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Transplantation (35 citations), Cancer Research (70 citations), Nephrology (31 citations), Molecular Biology (227 citations) and Computer Graphics and Computer-Aided Design (11 citations). Chunchun Zhao has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Sartaj Sahni, Jun Tao, Zhijian Han, Jianqing Wang, Zijie Wang, Caibin Fan, Ruoyun Tan, Zhen Xu, Min Gu and Fei Wang. Their work appears in journals such as Journal of Cellular and Molecular Medicine, BMC Bioinformatics, Gene, Infectious Diseases of Poverty and Pharmaceutical 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.