Feng Wei

5.4k total citations
146 papers, 4.2k citations indexed

About

Feng Wei is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Feng Wei has authored 146 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Oncology, 55 papers in Immunology and 54 papers in Molecular Biology. Recurrent topics in Feng Wei's work include Cancer Immunotherapy and Biomarkers (26 papers), Immunotherapy and Immune Responses (23 papers) and Cancer-related molecular mechanisms research (22 papers). Feng Wei is often cited by papers focused on Cancer Immunotherapy and Biomarkers (26 papers), Immunotherapy and Immune Responses (23 papers) and Cancer-related molecular mechanisms research (22 papers). Feng Wei collaborates with scholars based in China, United States and Singapore. Feng Wei's co-authors include Xiubao Ren, Jinpu Yu, Wenwen Yu, Yingnan Ye, Qian Sun, Lili Yang, Hui Li, Brian Dymock, Philip K. Moore and Fan Yang and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Feng Wei

136 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Wei China 38 1.9k 1.4k 1.3k 1.1k 474 146 4.2k
Masanobu Kobayashi Japan 36 1.8k 1.0× 996 0.7× 1.0k 0.8× 863 0.8× 369 0.8× 131 4.1k
Arántzazu Alfranca Spain 33 1.5k 0.8× 737 0.5× 772 0.6× 814 0.7× 372 0.8× 70 3.3k
Venkateshwar G. Keshamouni United States 31 2.0k 1.0× 627 0.4× 800 0.6× 698 0.6× 476 1.0× 49 3.5k
Ilan Stein Israel 21 2.6k 1.4× 956 0.7× 968 0.7× 1.6k 1.5× 287 0.6× 31 4.5k
Jianping Guo China 37 3.0k 1.6× 689 0.5× 1.3k 1.0× 1.1k 1.0× 669 1.4× 124 4.8k
Paolo Cirri Italy 35 2.8k 1.5× 880 0.6× 1.0k 0.8× 1.1k 1.0× 278 0.6× 66 4.2k
Amy M. Fulton United States 40 1.2k 0.7× 1.8k 1.3× 1.8k 1.3× 754 0.7× 246 0.5× 95 4.7k
Francesca Zazzeroni Italy 35 3.0k 1.6× 1.2k 0.9× 1.0k 0.8× 1.6k 1.4× 289 0.6× 96 5.3k
Arimichi Takabayashi Japan 29 1.8k 0.9× 1.0k 0.7× 1.8k 1.4× 491 0.4× 501 1.1× 75 4.0k
Gong Yang China 45 2.8k 1.5× 625 0.4× 1.4k 1.1× 1.5k 1.3× 461 1.0× 108 5.0k

Countries citing papers authored by Feng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Wei. A scholar is included among the top collaborators of Feng Wei 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 Feng Wei. Feng Wei 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.
2.
Liu, Xiaoya, et al.. (2025). Tumor-derived exosomal lncRNA-MIR193BHG promotes bone metastasis of breast cancer by targeting the miR-489-3p/DNMT3A signaling axis in osteoclasts. Journal of Translational Medicine. 23(1). 142–142. 3 indexed citations
3.
Zeng, Ziqing, Weijiao Du, Fan Yang, et al.. (2024). The spatial landscape of T cells in the microenvironment of stage III lung adenocarcinoma. The Journal of Pathology. 262(4). 517–528. 3 indexed citations
4.
Liu, Shaochuan, Yuan Meng, Liang Liu, et al.. (2022). Rational pemetrexed combined with CIK therapy plus anti-PD-1 mAbs administration sequence will effectively promote the efficacy of CIK therapy in non-small cell lung cancer. Cancer Gene Therapy. 30(2). 277–287. 7 indexed citations
5.
Sun, Qian, et al.. (2022). Trained Immunity of IL-12-, IL-15-, and IL-18-Induced CD3+CD56+ NKT-Like Cells. Journal of Oncology. 2022. 1–14. 9 indexed citations
6.
Hui, Zhenzhen, Jiali Zhang, Xiaoling Li, et al.. (2022). Single-cell profiling of immune cells after neoadjuvant pembrolizumab and chemotherapy in IIIA non-small cell lung cancer (NSCLC). Cell Death and Disease. 13(7). 607–607. 39 indexed citations
7.
8.
Wang, Qian, Tiejun Huang, & Feng Wei. (2020). Circular RNA HIPK3 Promotes EMT of Cervical Cancer Through Sponging miR-338-3p to Up-Regulate HIF-1α. SHILAP Revista de lepidopterología. 3 indexed citations
9.
Hou, Yongqiang, Wei Liu, Xianfu Yi, et al.. (2020). PHF20L1 as a H3K27me2 reader coordinates with transcriptional repressors to promote breast tumorigenesis. Science Advances. 6(16). eaaz0356–eaaz0356. 31 indexed citations
10.
Sun, Qian, Xiying Zhang, Limei Wang, et al.. (2019). T-cell receptor gene therapy targeting melanoma-associated antigen-A4 by silencing of endogenous TCR inhibits tumor growth in mice and human. Cell Death and Disease. 10(7). 475–475. 14 indexed citations
11.
Sun, Qian, Yanan Wang, Haiyong Peng, et al.. (2018). Phosphoglyceric acid mutase-1 contributes to oncogenic mTOR-mediated tumor growth and confers non-small cell lung cancer patients with poor prognosis. Cell Death and Differentiation. 25(6). 1160–1173. 58 indexed citations
12.
Guan, Xiaoyang, Huan Chen, Feng Wei, et al.. (2017). O-GalNAcylation of RANTES Improves Its Properties as a Human Immunodeficiency Virus Type 1 Entry Inhibitor. Biochemistry. 57(1). 136–148. 8 indexed citations
13.
Zhao, Ning, Na Pan, Yang Wang, et al.. (2017). Correlation of PET/CT SUVmax with infiltration level of immune cells in patients with non-small cell lung cancer and its clinical significance. Clinical Oncology and Cancer Research. 44(3). 112–117. 1 indexed citations
14.
Wei, Feng, et al.. (2015). Structure of decorin binding protein B from Borrelia burgdorferi and its interactions with glycosaminoglycans. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1854(12). 1823–1832. 9 indexed citations
15.
Wei, Feng, De Yang, Poonam Tewary, et al.. (2014). The Alarmin HMGN1 Contributes to Antitumor Immunity and Is a Potent Immunoadjuvant. Cancer Research. 74(21). 5989–5998. 49 indexed citations
16.
Ye, Yingnan, Pengpeng Liu, Yue Wang, et al.. (2014). Neurotensin, a Novel Messenger to Cross-Link Inflammation and Tumor Invasion via Epithelial-Mesenchymal Transition Pathway. International Reviews of Immunology. 35(4). 340–350. 12 indexed citations
17.
Huo, Lili, et al.. (2014). Clinical significance of FoxP3 and the correlation of FoxP3 expression with epithelial-mesenchymal transition in breast cancer. Clinical Oncology and Cancer Research. 41(3). 158–161.
18.
Yang, De, Yuri V. Postnikov, Yana Li, et al.. (2011). High-mobility group nucleosome-binding protein 1 acts as an alarmin and is critical for lipopolysaccharide-induced immune responses. The Journal of Experimental Medicine. 209(1). 157–171. 115 indexed citations
19.
Zhao, Hua, Hui Li, Jinpu Yu, et al.. (2010). The Expression of TSLP and Its Relationship with the Number of Infiltrating Regulatory T Cells in Lung Cancer. Clinical Oncology and Cancer Research. 37(3). 126–130.
20.
Wang, Yan, Rui Li, Ying Zhao, et al.. (2010). Transcription Factor E2F1 Suppresses Dendritic Cell Maturation. The Journal of Immunology. 184(11). 6084–6091. 37 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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