Dan Cao
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
- Oncology 41
- Pancreatic and Hepatic Oncology Research 10
- Cancer Cells and Metastasis 8
- Colorectal Cancer Treatments and Studies 7
- Co-authors
- Hongyang Wang (11 shared papers)Mengchao Wu (6 shared papers)Liang Tang (4 shared papers)Wen Yang (3 shared papers)Hongfeng Gou (9 shared papers)Le‐Xing Yu (3 shared papers)Linna Guo (6 shared papers)Shanhua Tang (3 shared papers)
- Journals
- Frontiers in Oncology (9 papers)Medical Oncology (6 papers)BMC Health Services Research (6 papers)OncoTargets and Therapy (4 papers)BMC Cancer (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan Cao
159 papers receiving 3.6k citations
Dan Cao's Hit Papers
Peers
Comparison fields: 5 of 144
- Cancer Research 1.0k
- Oncology 775
- Molecular Biology 1.7k
- Hepatology 167
- Immunology 292
Countries citing papers authored by Dan Cao
This map shows the geographic impact of Dan 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 Dan Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Cao more than expected).
Fields of papers citing papers by Dan Cao
This network shows the impact of papers produced by Dan 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 Dan Cao. The network helps show where Dan Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumor-derived exosomal miR-1247-3p induces cancer-associated fibroblast activation to foster lung metastasis of liver cancer Hit paper breakdown → | 2018 | 796 |
| 2 | 2009 | 185 | |
| 3 | 2014 | 153 | |
| 4 | 2011 | 133 | |
| 5 | 2001 | 114 | |
| 6 | 2016 | 91 | |
| 7 | 2018 | 86 | |
| 8 | 2011 | 78 | |
| 9 | 2014 | 68 | |
| 10 | 2010 | 65 | |
| 11 | 2016 | 64 | |
| 12 | 2016 | 60 | |
| 13 | 2011 | 52 | |
| 14 | 2020 | 50 | |
| 15 | 2016 | 50 | |
| 16 | 2016 | 48 | |
| 17 | 2010 | 48 | |
| 18 | 2022 | 48 | |
| 19 | 2013 | 40 | |
| 20 | 2011 | 40 |
About Dan Cao
Dan Cao is a scholar working on Oncology, Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 167 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Neuroendocrine Tumor Research Advances (10 papers), Gastric Cancer Management and Outcomes (9 papers), Cancer Cells and Metastasis (8 papers), Colorectal Cancer Treatments and Studies (7 papers), Gastrointestinal Tumor Research and Treatment (7 papers), Liver physiology and pathology (6 papers) and Healthcare Systems and Reforms (6 papers). The work is most often cited by research in Cancer Research (1.0k citations), Oncology (775 citations), Molecular Biology (1.7k citations), Hepatology (167 citations) and Immunology (292 citations). Dan Cao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongyang Wang, Mengchao Wu, Liang Tang, Wen Yang, Hongfeng Gou, Le‐Xing Yu, Linna Guo, Shanhua Tang, Ming Jiang and Tian Fang. Their work appears in journals such as Frontiers in Oncology, Medical Oncology, BMC Health Services Research, OncoTargets and Therapy and BMC Cancer.
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.