Fengjun Cao
Impact in
-
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 10
- Inflammatory Biomarkers in Disease Prognosis 3
- Cancer Immunotherapy and Biomarkers 3
- Lung Cancer Research Studies 2
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- Lung Cancer Diagnosis and Treatment 3
- Lung Cancer Treatments and Mutations 3
- Cancer-related cognitive impairment studies 2
- Co-authors
- Zhongjie Liu (1 shared paper)Xiongjie Yu (6 shared papers)Ping Chen (3 shared papers)Yong Li (5 shared papers)Pindong Li (3 shared papers)Yuandong Yu (4 shared papers)Longchao Xiang (3 shared papers)Xiufang Zhang (2 shared papers)
- Journals
- Dose-Response (1 paper)Radiotherapy and Oncology (1 paper)Drug Design Development and Therapy (1 paper)Tumor Biology (1 paper)DNA and Cell Biology (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Fengjun Cao
17 papers receiving 254 citations
Peers
Comparison fields: 5 of 63
- Oncology 100
- Cancer Research 54
- Immunology 59
- Physiology 8
- Molecular Biology 114
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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 82 | |
| 2 | 2019 | 38 | |
| 3 | 2015 | 37 | |
| 4 | 2017 | 32 | |
| 5 | 2020 | 26 | |
| 6 | 2021 | 7 | |
| 7 | 2007 | 7 | |
| 8 | 2020 | 7 | |
| 9 | Cyclooxygenase-2 polymorphisms and bladder cancer risk: a meta-analysis based on case-control studies. | 2015 | 5 |
| 10 | 2021 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 1 |
About Fengjun Cao
Fengjun Cao is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 256 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Lung Cancer Treatments and Mutations (3 papers), Esophageal Cancer Research and Treatment (3 papers), Cancer-related cognitive impairment studies (2 papers), Lung Cancer Research Studies (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Oncology (100 citations), Cancer Research (54 citations), Immunology (59 citations), Physiology (8 citations) and Molecular Biology (114 citations). Fengjun Cao has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhongjie Liu, Xiongjie Yu, Ping Chen, Yong Li, Pindong Li, Yuandong Yu, Longchao Xiang, Xiufang Zhang, Mingxing Li and Bingbing Yang. Their work appears in journals such as Dose-Response, Radiotherapy and Oncology, Drug Design Development and Therapy, Tumor Biology and DNA and Cell 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.