Chunlu Tan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Lung Cancer Research Studies
Papers in
- Oncology 46
- Pancreatic and Hepatic Oncology Research 35
- Lung Cancer Research Studies 4
- Epidemiology 22
- Neuroendocrine Tumor Research Advances 22
- Co-authors
- Xubao Liu (34 shared papers)Yonghua Chen (16 shared papers)Nengwen Ke (29 shared papers)Cheng Li (2 shared papers)Gang Mai (13 shared papers)Xu-Bao Liu (13 shared papers)Yonghua Chen (22 shared papers)Guangming Xiang (5 shared papers)
- Journals
- Medicine (9 papers)World Journal of Gastroenterology (9 papers)Journal of Drug Delivery Science and Technology (3 papers)Pancreas (3 papers)Journal of Clinical Medicine (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chunlu Tan
87 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 82
- Cancer Research 312
- Oncology 545
- Epidemiology 243
- Molecular Biology 476
- Surgery 241
Countries citing papers authored by Chunlu Tan
This map shows the geographic impact of Chunlu Tan'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 Chunlu Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunlu Tan more than expected).
Fields of papers citing papers by Chunlu Tan
This network shows the impact of papers produced by Chunlu Tan. 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 Chunlu Tan. The network helps show where Chunlu Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunlu Tan, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 238 | |
| 2 | 2012 | 159 | |
| 3 | 2018 | 134 | |
| 4 | 2014 | 93 | |
| 5 | 2017 | 50 | |
| 6 | 2015 | 45 | |
| 7 | 2015 | 40 | |
| 8 | 2018 | 40 | |
| 9 | 2013 | 32 | |
| 10 | 2020 | 26 | |
| 11 | 2020 | 23 | |
| 12 | 2014 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2011 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2019 | 19 | |
| 19 | 2022 | 17 | |
| 20 | 2019 | 17 |
About Chunlu Tan
Chunlu Tan is a scholar working on Oncology, Epidemiology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (35 papers), Neuroendocrine Tumor Research Advances (22 papers), Pancreatitis Pathology and Treatment (14 papers), MicroRNA in disease regulation (5 papers), Neuroblastoma Research and Treatments (4 papers), Lung Cancer Research Studies (4 papers), Seaweed-derived Bioactive Compounds (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Cancer Research (312 citations), Oncology (545 citations), Epidemiology (243 citations), Molecular Biology (476 citations) and Surgery (241 citations). Chunlu Tan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xubao Liu, Yonghua Chen, Nengwen Ke, Cheng Li, Gang Mai, Xu-Bao Liu, Yonghua Chen, Guangming Xiang, Hao Zhang and Junjie Xiong. Their work appears in journals such as Medicine, World Journal of Gastroenterology, Journal of Drug Delivery Science and Technology, Pancreas and Journal of Clinical Medicine.
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.