Xiaofei Wei

1.9k total citations · 1 hit paper
31 papers, 1.1k citations indexed

About

Xiaofei Wei is a scholar working on Oncology, Molecular Biology and Plant Science. According to data from OpenAlex, Xiaofei Wei has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Xiaofei Wei's work include CAR-T cell therapy research (7 papers), Virus-based gene therapy research (3 papers) and CRISPR and Genetic Engineering (3 papers). Xiaofei Wei is often cited by papers focused on CAR-T cell therapy research (7 papers), Virus-based gene therapy research (3 papers) and CRISPR and Genetic Engineering (3 papers). Xiaofei Wei collaborates with scholars based in China, United States and Canada. Xiaofei Wei's co-authors include Haoyi Wang, Xingying Zhang, Na Li, Wei Mu, Na Tang, Weidong Han, Miaomiao Qiao, Chen Cheng, Chen Cheng and Hao Zhang and has published in prestigious journals such as Nature Communications, Cancer Cell and Plant and Soil.

In The Last Decade

Xiaofei Wei

28 papers receiving 1.1k citations

Hit Papers

TGF-β inhibition via CRISPR promotes the long-term effica... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. TGF-β inhibition via CRISPR promotes the long-term efficacy of CAR T cells against solid tumors
    2020 293 citations Na Tang, Chen Cheng et al. JCI Insight profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofei Wei China 11 689 536 247 217 189 31 1.1k
Qingwang Han China 13 729 1.1× 537 1.0× 231 0.9× 311 1.4× 219 1.2× 15 1.3k
Elad Bassat Israel 10 236 0.3× 1000 1.9× 196 0.8× 74 0.3× 124 0.7× 11 1.6k
Ruixin Sun China 16 800 1.2× 506 0.9× 503 2.0× 171 0.8× 246 1.3× 36 1.3k
Xiaomeng Hu United States 13 348 0.5× 627 1.2× 261 1.1× 181 0.8× 113 0.6× 34 1.2k
Árpád Szöőr Hungary 15 467 0.7× 279 0.5× 218 0.9× 116 0.5× 142 0.8× 58 774
Anthony J. Bais United States 9 316 0.5× 220 0.4× 156 0.6× 86 0.4× 108 0.6× 12 654
Wenshu Wu China 18 213 0.3× 757 1.4× 118 0.5× 55 0.3× 94 0.5× 39 1.1k
Bernhard Schweighofer Austria 13 266 0.4× 400 0.7× 391 1.6× 25 0.1× 59 0.3× 15 979
Martín Bonamino Brazil 20 332 0.5× 669 1.2× 195 0.8× 209 1.0× 90 0.5× 47 1.1k
Brandoch D. Cook United States 10 185 0.3× 516 1.0× 76 0.3× 73 0.3× 54 0.3× 12 801

Countries citing papers authored by Xiaofei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Wei. A scholar is included among the top collaborators of Xiaofei 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 Xiaofei Wei. Xiaofei 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.
Zeng, Chunyu, Xiaofei Wei, Qitong Chen, et al.. (2025). mRNA-engineered CRISPR-Cas epigenetic editors enable durable and efficient gene silencing in vivo. The Innovation. 7(3). 101151–101151.
2.
He, Li, Yao Yao, You Yin, et al.. (2025). Versatile molecular tools enabling customizable DNA methylation editing in Arabidopsis. Nature Communications. 17(1). 251–251.
3.
Tang, Na, Jun Hao, Beilei Xu, et al.. (2025). Development of CAR-T cell therapy for NF1/SWN-related nerve sheath tumor treatment. Acta Neuropathologica Communications. 13(1). 45–45. 1 indexed citations
4.
He, Kan, et al.. (2025). Straw return impacts on crop yield and yield variability: A meta-analysis. Soil and Tillage Research. 254. 106712–106712. 1 indexed citations
5.
6.
Qi, Changsong, Chang Liu, Xiaofei Wei, et al.. (2024). Antigen-independent activation is critical for the durable antitumor effect of GUCY2C-targeted CAR-T cells. Journal for ImmunoTherapy of Cancer. 12(10). e009960–e009960. 5 indexed citations
7.
Wei, Xiaofei, et al.. (2024). Wheat yield improvement is associated with altered root systems during cultivar replacement. European Journal of Agronomy. 154. 127101–127101. 9 indexed citations
8.
9.
Zhang, Xingying, Chenze Zhang, Miaomiao Qiao, et al.. (2022). Depletion of BATF in CAR-T cells enhances antitumor activity by inducing resistance against exhaustion and formation of central memory cells. Cancer Cell. 40(11). 1407–1422.e7. 99 indexed citations
10.
Tang, Na, Chen Cheng, Xingying Zhang, et al.. (2020). TGF-β inhibition via CRISPR promotes the long-term efficacy of CAR T cells against solid tumors. JCI Insight. 5(4). 293 indexed citations breakdown →
11.
Li, Na, Na Tang, Chen Cheng, et al.. (2020). Improving the anti-solid tumor efficacy of CAR-T cells by inhibiting adenosine signaling pathway. OncoImmunology. 9(1). 1824643–1824643. 44 indexed citations
12.
Wang, Ruixue, et al.. (2020). Curriculum Design with the Integration of STEAM and Educational Game. 127–129. 2 indexed citations
13.
Li, Yuxin, Xiaofei Wei, Zhuang Tian, et al.. (2019). A rare simultaneous coexistence of epithelioid gastrointestinal stromal tumors and schwannoma in the stomach: a case report. Diagnostic Pathology. 14(1). 116–116. 2 indexed citations
14.
Tian, Zhuang, Xiaofei Wei, Quan Wang, et al.. (2019). [Combined detection of KRAS, NRAS, BRAF and PIK3CA mutations in the plasma and tumor tissues of colorectal cancer patients].. PubMed. 48(5). 373–377. 1 indexed citations
15.
Wei, Xiaofei, et al.. (2019). Research On Aircraft Virtual Assembly Technology Based On Gesture Recognition. 147–150. 5 indexed citations
16.
Zhang, Yongping, Xingying Zhang, Chen Cheng, et al.. (2017). CRISPR-Cas9 mediated LAG-3 disruption in CAR-T cells. Frontiers of Medicine. 11(4). 554–562. 191 indexed citations
17.
Wang, Qian, Chuan Liu, Pu Wang, et al.. (2015). [Characteristics and Functional Status of Victims with Fractured Injury in Lushan Earthquake].. PubMed. 46(4). 606–10. 1 indexed citations
18.
Wang, Dan, Ping Lu, Hao Zhang, et al.. (2014). Oct-4 and Nanog promote the epithelial-mesenchymal transition of breast cancer stem cells and are associated with poor prognosis in breast cancer patients. Oncotarget. 5(21). 10803–10815. 136 indexed citations
19.
Chen, Guanglei, Gang Li, Xiaofei Wei, et al.. (2014). Clinical significance of SPRR1A expression in progesterone receptor-positive breast cancer. Tumor Biology. 36(4). 2601–2605. 11 indexed citations
20.

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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