Fei Tan

115 papers receiving 2.3k citations

Fei Tan's Hit Papers

Clinical applications of stem cell-derived exosomes 2024 · 343 citations
3430+1Years since publication100200300

Peers

Fei Tan
Comparison fields: 5 of 143
  • Cancer Research 299
  • Pharmacy 98
  • Biomaterials 184
  • Cell Biology 215
  • Developmental Neuroscience 51
Replace Songlin Wang with:
Songlin Wang China
Wei Jing China
Fei Gao China
Sandra Shurey United Kingdom
Ľuboš Danišovič Slovakia
Yukiko Ito Japan
Eric H. Kim United States
Naohisa Wada Japan
Anne E. Bishop United Kingdom
Mitsuru Furukawa Japan
Fei Tan relative to Songlin Wang China Songlin Wang's profile →
Citations per field
00.5×3.8×
Songlin Wang · 1×
Citations per year

Countries citing papers authored by Fei Tan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fei Tan Line = papers co-authored together Fei Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical applications of stem cell-derived exosomes
Hit paper breakdown →
2024343
2 2008194
3 200977
4 201060
5 201659
6 201057
7 201057
8 202249
9 200646
10 202243
11 201542
12
Maternal factors and disparities associated with oral clefts.
201041
13 202441
14 201340
15 201039
16 200738
17 200738
18 202137
19 201135
20 202034

About Fei Tan

Fei Tan is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Biomedical Engineering, having authored 121 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (19 papers), Colorectal Cancer Surgical Treatments (14 papers), Plasma Applications and Diagnostics (10 papers), Metastasis and carcinoma case studies (10 papers), Gastrointestinal Tumor Research and Treatment (9 papers), Colorectal and Anal Carcinomas (8 papers), Extracellular vesicles in disease (8 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). The work is most often cited by research in Cancer Research (299 citations), Pharmacy (98 citations), Biomaterials (184 citations), Cell Biology (215 citations) and Developmental Neuroscience (51 citations). Fei Tan has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Carol J. Thiele, Xuran Li, Mohamed Al‐Rubeai, Khawar Ali Shahzad, 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 Cancer, Medical Oncology, BMC Surgery 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.

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