Fengjun Cao
Impact in
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- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Toxicology top 10%
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- Metabolism, Diabetes, and Cancer 2
- Epigenetics and DNA Methylation 2
- Glycosylation and Glycoproteins Research 2
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- Cancer, Lipids, and Metabolism 2
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Xuanbin Wang (15 shared papers)Xiaojun Cai (7 shared papers)Yibin Feng (5 shared papers)Xiongjie Yu (7 shared papers)Chen Li (4 shared papers)Longchao Xiang (5 shared papers)Minglun Li (4 shared papers)Hongliang Li (3 shared papers)
In The Last Decade
Fengjun Cao
23 papers receiving 581 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 136
- Toxicology 28
- Molecular Biology 355
- Oncology 127
- Pharmacology 39
Countries citing papers authored by Fengjun Cao
This map shows the geographic impact of Fengjun Cao'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 Fengjun Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengjun Cao more than expected).
Fields of papers citing papers by Fengjun Cao
This network shows the impact of papers produced by Fengjun Cao. 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 Fengjun Cao. The network helps show where Fengjun Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengjun Cao, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 84 | |
| 2 | 2015 | 57 | |
| 3 | 2016 | 49 | |
| 4 | 2018 | 45 | |
| 5 | 2019 | 41 | |
| 6 | 2022 | 34 | |
| 7 | 2016 | 34 | |
| 8 | 2017 | 32 | |
| 9 | 2017 | 27 | |
| 10 | 2019 | 26 | |
| 11 | 2020 | 25 | |
| 12 | 2016 | 21 | |
| 13 | 2018 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2021 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2017 | 15 | |
| 18 | 2022 | 8 | |
| 19 | 2019 | 5 | |
| 20 | 2016 | 5 |
About Fengjun Cao
Fengjun Cao is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 589 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Cancer, Lipids, and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Autophagy in Disease and Therapy (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (136 citations), Toxicology (28 citations), Molecular Biology (355 citations), Oncology (127 citations) and Pharmacology (39 citations). Fengjun Cao has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Xuanbin Wang, Xiaojun Cai, Yibin Feng, Xiongjie Yu, Chen Li, Longchao Xiang, Minglun Li, Hongliang Li, Nian Yang and Jingxuan Zhang. Their work appears in journals such as Oncotarget, Frontiers in Pharmacology, International Journal of Molecular Sciences, Clinical & Translational Oncology and Food and Chemical Toxicology.
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.