Fei Tan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Pharmacy top 5%
Papers in
-
- Extracellular vesicles in disease 7
- Oncology 22
- Colorectal Cancer Surgical Treatments 11
- Global Cancer Incidence and Screening 5
- Co-authors
- Xuran Li (8 shared papers)Carol J. Thiele (10 shared papers)Khawar Ali Shahzad (10 shared papers)Mohamed Al‐Rubeai (11 shared papers)Jiaojiao Li (4 shared papers)Jialin Zheng (2 shared papers)Zhijie Li (5 shared papers)Gareth R. Dutton (8 shared papers)
- Journals
- Frontiers in Oncology (5 papers)BMC Surgery (3 papers)Medical Oncology (3 papers)BMC Cancer (3 papers)Journal of Health Care for the Poor and Underserved (3 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Fei Tan
118 papers receiving 2.5k citations
Fei Tan's Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 272
- Pharmacy 69
- Biomaterials 193
- Cell Biology 213
- Developmental Neuroscience 49
Countries citing papers authored by Fei Tan
This map shows the geographic impact of Fei 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 Fei Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Tan more than expected).
Fields of papers citing papers by Fei Tan
This network shows the impact of papers produced by Fei 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 Fei Tan. The network helps show where Fei Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical applications of stem cell-derived exosomes Hit paper breakdown → | 2024 | 415 |
| 2 | 2008 | 201 | |
| 3 | 2009 | 85 | |
| 4 | 2016 | 62 | |
| 5 | 2010 | 62 | |
| 6 | 2010 | 60 | |
| 7 | 2010 | 57 | |
| 8 | 2022 | 56 | |
| 9 | 2006 | 47 | |
| 10 | 2024 | 46 | |
| 11 | 2022 | 45 | |
| 12 | 2010 | 43 | |
| 13 | 2015 | 42 | |
| 14 | 2007 | 41 | |
| 15 | Maternal factors and disparities associated with oral clefts. | 2010 | 41 |
| 16 | 2013 | 40 | |
| 17 | 2007 | 39 | |
| 18 | 2021 | 39 | |
| 19 | 2020 | 39 | |
| 20 | 2022 | 37 |
About Fei Tan
Fei Tan is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Biomedical Engineering, having authored 122 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (14 papers), Colorectal Cancer Surgical Treatments (11 papers), Plasma Applications and Diagnostics (10 papers), Extracellular vesicles in disease (7 papers), Neuroblastoma Research and Treatments (6 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Bone Tissue Engineering Materials (5 papers) and Global Cancer Incidence and Screening (5 papers). The work is most often cited by research in Cancer Research (272 citations), Pharmacy (69 citations), Biomaterials (193 citations), Cell Biology (213 citations) and Developmental Neuroscience (49 citations). Fei Tan has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Xuran Li, Carol J. Thiele, Khawar Ali Shahzad, Mohamed Al‐Rubeai, Jiaojiao Li, Jialin Zheng, Zhijie Li, Gareth R. Dutton, Mariam Naciri and Yunqing Zhu. Their work appears in journals such as Frontiers in Oncology, BMC Surgery, Medical Oncology, BMC Cancer and Journal of Health Care for the Poor and Underserved.
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.