Wei Qi

7.0k total citations · 1 hit paper
88 papers, 4.6k citations indexed

About

Wei Qi is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Wei Qi has authored 88 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 21 papers in Surgery and 16 papers in Cell Biology. Recurrent topics in Wei Qi's work include Cholesterol and Lipid Metabolism (12 papers), Epigenetics and DNA Methylation (12 papers) and Adipose Tissue and Metabolism (7 papers). Wei Qi is often cited by papers focused on Cholesterol and Lipid Metabolism (12 papers), Epigenetics and DNA Methylation (12 papers) and Adipose Tissue and Metabolism (7 papers). Wei Qi collaborates with scholars based in China, United States and United Kingdom. Wei Qi's co-authors include Bao‐Liang Song, Bo-Liang Li, Hongtao Yu, Zhanyun Tang, Jingjie Tang, Liang Ge, Patrick G. Harran, Hong‐Hua Miao, Wen‐Wei Qiu and Anthony W. G. Burgett and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Wei Qi

83 papers receiving 4.6k citations

Hit Papers

Ferroptosis inducers enhanced cuproptosis induced by copp... 2023 2026 2024 2025 2023 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
Wei Qi China 34 2.8k 1.0k 937 719 523 88 4.6k
Martin O. Bergö Sweden 41 5.0k 1.8× 889 0.9× 356 0.4× 927 1.3× 403 0.8× 106 6.8k
Hidetoshi Hayashi Japan 30 3.2k 1.2× 970 1.0× 384 0.4× 572 0.8× 600 1.1× 131 5.2k
Dominic P. Del Re United States 38 3.0k 1.1× 1.4k 1.4× 395 0.4× 569 0.8× 826 1.6× 77 5.4k
Borhane Annabi Canada 41 2.2k 0.8× 524 0.5× 460 0.5× 1.2k 1.7× 270 0.5× 151 4.8k
Chieko Yokoyama Japan 35 2.8k 1.0× 351 0.3× 1.6k 1.7× 1.0k 1.4× 324 0.6× 80 6.1k
Nathalie Augè France 36 2.0k 0.7× 567 0.6× 691 0.7× 399 0.6× 406 0.8× 59 3.9k
Véronique Nogueira United States 22 4.0k 1.5× 319 0.3× 751 0.8× 1.3k 1.9× 496 0.9× 34 5.3k
Yu‐Jia Chang Taiwan 35 2.2k 0.8× 353 0.3× 547 0.6× 590 0.8× 317 0.6× 153 4.0k
Anthony J. Muslin United States 40 5.8k 2.1× 1.0k 1.0× 553 0.6× 453 0.6× 262 0.5× 90 7.8k
Yangfu Jiang China 31 2.7k 1.0× 507 0.5× 336 0.4× 1.2k 1.7× 415 0.8× 70 4.9k

Countries citing papers authored by Wei Qi

Since Specialization
Citations

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

Fields of papers citing papers by Wei Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Qi. A scholar is included among the top collaborators of Wei Qi 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 Wei Qi. Wei Qi 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.
Yao, Zhitong, Huanxuan Li, Ljiljana Medić Pejić, et al.. (2025). Chemical looping pyrolysis of biomass using ferrite-based oxygen carrier: Kinetics, thermodynamics and compensation effects. Bioresource Technology. 439. 133372–133372.
2.
Qi, Wei, Ruimeng Yang, Xuxiang Liu, et al.. (2024). RHOAG17V Mutation Exhibits Markedly Different Functions in the Presence of TET2 Loss in T-Cells. Blood. 144(Supplement 1). 1360–1360.
3.
Qu, Yu-Xiu, et al.. (2023). EZH2 W113C is a gain-of-function mutation in B-cell lymphoma enabling both PRC2 methyltransferase activation and tazemetostat resistance. Journal of Biological Chemistry. 299(4). 103073–103073. 6 indexed citations
4.
Qi, Wei, et al.. (2023). Cell Reprogramming Techniques: Contributions to Cancer Therapy. Cellular Reprogramming. 25(4). 142–153. 2 indexed citations
5.
Song, Hongxiao, Fengchao Xu, Xiaolu Li, et al.. (2023). Baicalin inhibits the replication of the hepatitis B virus by targeting TRIM25. Journal of Traditional and Complementary Medicine. 13(6). 561–567. 7 indexed citations
6.
Wang, Guoli, et al.. (2023). Stress granules affect the sensitivity of renal cancer cells to sorafenib by sequestering and stabilizing COX‑2 mRNA. Oncology Letters. 25(6). 274–274. 4 indexed citations
7.
Liu, Na, et al.. (2021). Serum Exosomal microRNA Profiling in AIDS Complicated with Talaromyces marneffei Infection. Infection and Drug Resistance. Volume 14. 4931–4948. 2 indexed citations
8.
Li, Yunfeng, Jie Luo, Jiqiu Wang, et al.. (2019). Gpnmb secreted from liver promotes lipogenesis in white adipose tissue and aggravates obesity and insulin resistance. Nature Metabolism. 1(5). 570–583. 68 indexed citations
9.
Jiang, Bo, Wei Chen, Haixiang Qin, et al.. (2019). TOX3 inhibits cancer cell migration and invasion via transcriptional regulation of SNAI1 and SNAI2 in clear cell renal cell carcinoma. Cancer Letters. 449. 76–86. 19 indexed citations
10.
Zeng, Wei, Wei Qi, Jiao Mu, et al.. (2019). MG132 protects against renal dysfunction by regulating Akt-mediated inflammation in diabetic nephropathy. Scientific Reports. 9(1). 2049–2049. 20 indexed citations
11.
Jiang, Shi‐You, Hui Li, Jingjie Tang, et al.. (2018). Discovery of a potent HMG-CoA reductase degrader that eliminates statin-induced reductase accumulation and lowers cholesterol. Nature Communications. 9(1). 5138–5138. 131 indexed citations
12.
13.
Liao, Rijing, Dan Zheng, Aiying Nie, et al.. (2016). Sensitive and Precise Characterization of Combinatorial Histone Modifications by Selective Derivatization Coupled with RPLC-EThcD-MS/MS. Journal of Proteome Research. 16(2). 780–787. 10 indexed citations
14.
Xie, Chang, Yaping Zhang, Lu Song, et al.. (2016). Genome editing with CRISPR/Cas9 in postnatal mice corrects PRKAG2 cardiac syndrome. Cell Research. 26(10). 1099–1111. 95 indexed citations
15.
Gibaja, Veronica, Joshua M. Korn, David A. Ruddy, et al.. (2015). Development of secondary mutations in wild-type and mutant EZH2 alleles cooperates to confer resistance to EZH2 inhibitors. Oncogene. 35(5). 558–566. 107 indexed citations
16.
Zhang, Bin, Wei Qi, Yanan Zhu, et al.. (2014). Conformational study reveals amino acid residues essential for hemagglutinating and anti-proliferative activities of <italic>Clematis montana</italic> lectin. Acta Biochimica et Biophysica Sinica. 46(11). 923–934. 7 indexed citations
17.
Zhang, Jinhui, Liang Ge, Wei Qi, et al.. (2011). The N-terminal Domain of NPC1L1 Protein Binds Cholesterol and Plays Essential Roles in Cholesterol Uptake. Journal of Biological Chemistry. 286(28). 25088–25097. 91 indexed citations
18.
Ge, Liang, Wei Qi, Lijuan Wang, et al.. (2010). Flotillins play an essential role in Niemann-Pick C1-like 1-mediated cholesterol uptake. Proceedings of the National Academy of Sciences. 108(2). 551–556. 122 indexed citations
19.
Donson, Andrew M., Diane K. Birks, Valerie N. Barton, et al.. (2009). Immune Gene and Cell Enrichment Is Associated with a Good Prognosis in Ependymoma. The Journal of Immunology. 183(11). 7428–7440. 50 indexed citations
20.
Bharadwaj, Rajnish, Wei Qi, & Hongtao Yu. (2004). Identification of Two Novel Components of the Human NDC80 Kinetochore Complex. Journal of Biological Chemistry. 279(13). 13076–13085. 101 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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