Fengwei Tan

5.3k total citations · 1 hit paper
124 papers, 2.6k citations indexed

About

Fengwei Tan is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Fengwei Tan has authored 124 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Pulmonary and Respiratory Medicine, 52 papers in Oncology and 37 papers in Molecular Biology. Recurrent topics in Fengwei Tan's work include Lung Cancer Diagnosis and Treatment (41 papers), Lung Cancer Treatments and Mutations (39 papers) and RNA modifications and cancer (22 papers). Fengwei Tan is often cited by papers focused on Lung Cancer Diagnosis and Treatment (41 papers), Lung Cancer Treatments and Mutations (39 papers) and RNA modifications and cancer (22 papers). Fengwei Tan collaborates with scholars based in China, United States and United Kingdom. Fengwei Tan's co-authors include Jie He, Qi Xue, Yibo Gao, Wei Guo, Shugeng Gao, Shugeng Gao, Bin Qiu, Xiaogang Tan, Zhaoli Chen and Guochao Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Fengwei Tan

120 papers receiving 2.6k citations

Hit Papers

Treatment-related adverse events of PD-1 and PD-L1 inhibi... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fengwei Tan China 28 1.2k 1.0k 913 886 379 124 2.6k
Eric Jonasch United States 24 1.3k 1.1× 656 0.7× 1.4k 1.5× 778 0.9× 267 0.7× 74 2.6k
Ming‐Huang Hong China 31 703 0.6× 607 0.6× 848 0.9× 1.6k 1.9× 1.4k 3.6× 79 3.5k
Marcus Q. Bernardini Canada 30 723 0.6× 496 0.5× 329 0.4× 834 0.9× 484 1.3× 134 3.1k
Takuo Hayashi Japan 30 632 0.5× 379 0.4× 1.4k 1.5× 967 1.1× 725 1.9× 211 2.9k
Xavier León Spain 32 630 0.5× 442 0.4× 1.0k 1.1× 1.3k 1.5× 1.5k 3.9× 219 3.5k
Sabine Schmid Switzerland 18 357 0.3× 406 0.4× 841 0.9× 1.3k 1.4× 200 0.5× 62 2.0k
Guan Wu United States 30 1.3k 1.1× 463 0.5× 1.2k 1.3× 631 0.7× 682 1.8× 91 3.0k
Matthew E. Spector United States 31 570 0.5× 375 0.4× 843 0.9× 1.1k 1.3× 1.2k 3.2× 189 3.1k
Jenq‐Yuh Ko Taiwan 30 450 0.4× 258 0.3× 765 0.8× 844 1.0× 1.1k 3.0× 120 2.7k
Mahdi Fallah Germany 26 563 0.5× 302 0.3× 720 0.8× 1.1k 1.2× 424 1.1× 82 2.6k

Countries citing papers authored by Fengwei Tan

Since Specialization
Citations

This map shows the geographic impact of Fengwei 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 Fengwei Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengwei Tan more than expected).

Fields of papers citing papers by Fengwei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fengwei 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 Fengwei Tan. The network helps show where Fengwei Tan may publish in the future.

Co-authorship network of co-authors of Fengwei Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Fengwei Tan. A scholar is included among the top collaborators of Fengwei Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fengwei Tan. Fengwei Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xu, Ruifeng, Na Ren, Chenglin Yang, et al.. (2025). Ablation combined with video-assisted thoracic surgery hybrid technique for multiple primary lung cancer. iScience. 28(6). 112703–112703. 1 indexed citations
2.
Feng, Xiaoli, Fengwei Tan, Qi Xue, et al.. (2025). Multi‐omics analyses reveal distinct molecular characteristics and transformation mechanisms of stage I–III micropapillary lung adenocarcinoma. The Journal of Pathology. 266(2). 204–216. 1 indexed citations
3.
Zhao, Ziran, et al.. (2024). Impact of lymph node dissection on cancer-specific survival in non-small cell lung cancer patients: a SEER database analysis. Translational Lung Cancer Research. 13(4). 821–838. 3 indexed citations
4.
Tan, Fengwei, et al.. (2024). Assessing the global burden of mesothelioma: trends, socioeconomic influences, and asbestos exposure – a retrospective cohort study. International Journal of Surgery. 111(1). 93–103. 2 indexed citations
5.
6.
Zhang, Cheng, Jiaojiao Yu, Chen Yang, et al.. (2023). Wild-type IDH1 maintains NSCLC stemness and chemoresistance through activation of the serine biosynthetic pathway. Science Translational Medicine. 15(726). eade4113–eade4113. 13 indexed citations
7.
Zhang, Xiaowu, Jiaywei Tsauo, Pengfei Tian, et al.. (2023). Randomized comparison of the four-hook anchor device and hook-wire use for the preoperative localization of pulmonary nodules. Journal of Thoracic and Cardiovascular Surgery. 167(2). 498–507.e2. 4 indexed citations
8.
Zhang, Chang, Qi Sun, Xu Zhang, et al.. (2022). Gene amplification‐driven RNA methyltransferase KIAA1429 promotes tumorigenesis by regulating BTG2 via m6A‐YTHDF2‐dependent in lung adenocarcinoma. Cancer Communications. 42(7). 609–626. 51 indexed citations
9.
Wu, Zheng, Fei Wang, Chao Qin, et al.. (2022). Lung cancer risk prediction models based on pulmonary nodules: A systematic review. Thoracic Cancer. 13(5). 664–677. 34 indexed citations
10.
Guo, Wei, Xin Chen, Rui Liu, et al.. (2022). Sensitive detection of stage I lung adenocarcinoma using plasma cell-free DNA breakpoint motif profiling. EBioMedicine. 81. 104131–104131. 32 indexed citations
11.
Guo, Wei, Bolun Zhou, Zhenlin Yang, et al.. (2022). Integrating microarray-based spatial transcriptomics and single-cell RNA-sequencing reveals tissue architecture in esophageal squamous cell carcinoma. EBioMedicine. 84. 104281–104281. 44 indexed citations
12.
Zhang, Zhihui, Yuejun Luo, Chaoqi Zhang, et al.. (2021). An immune-related lncRNA signature predicts prognosis and adjuvant chemotherapeutic response in patients with small-cell lung cancer. Cancer Cell International. 21(1). 6 indexed citations
14.
Fan, Tao, Yu Liu, Liyu Wang, et al.. (2021). Comprehensive analysis of a chemokine- and chemokine receptor family-based signature for patients with lung adenocarcinoma. Cancer Immunology Immunotherapy. 70(12). 3651–3667. 15 indexed citations
15.
Yuan, Zuyang, Xinfeng Wang, Yin Li, et al.. (2020). Liquid biopsy for esophageal cancer: Is detection of circulating cell‐free DNA as a biomarker feasible?. Cancer Communications. 41(1). 3–15. 22 indexed citations
16.
P, Liu, et al.. (2020). The Use of Molecular Subtypes for Precision Therapy of Recurrent and Metastatic Gastrointestinal Stromal Tumor. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Li, Ning, Fengwei Tan, Bin Qiu, et al.. (2018). [Comparison of lung cancer surgery in China, 2005 vs. 2015].. PubMed. 40(4). 300–302. 2 indexed citations
19.
Gao, Xiaobo, Liping Yang, Haiyan Luo, et al.. (2018). A Rare Rs139365823 Polymorphism in Pre-miR-138 Is Associated with Risk of Congenital Heart Disease in a Chinese Population. DNA and Cell Biology. 37(2). 109–116. 10 indexed citations
20.
Tan, Fengwei, Yun Cai, Jinglan Wang, et al.. (2008). Proteomic analysis of ubiquitinated proteins in normal hepatocyte cell line Chang liver cells. PROTEOMICS. 8(14). 2885–2896. 34 indexed citations

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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