Qing Wu

997 total citations
44 papers, 734 citations indexed

About

Qing Wu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Qing Wu has authored 44 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Immunology. Recurrent topics in Qing Wu's work include Retinoids in leukemia and cellular processes (6 papers), Fibroblast Growth Factor Research (4 papers) and Cancer-related Molecular Pathways (4 papers). Qing Wu is often cited by papers focused on Retinoids in leukemia and cellular processes (6 papers), Fibroblast Growth Factor Research (4 papers) and Cancer-related Molecular Pathways (4 papers). Qing Wu collaborates with scholars based in China, United States and Georgia. Qing Wu's co-authors include Hongli Liu, Wei‐Hua Chen, Yan Chen, Jiye Cai, Yunlong Pan, Qin Li, Bin Du, Mingqiang Ren, Haiyan Qin and John K. Cowell and has published in prestigious journals such as PLoS ONE, Science Translational Medicine and International Journal of Cancer.

In The Last Decade

Qing Wu

43 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing Wu China	15	456	83	75	73	70	44	734
Byeong Hyeok Choi United States	16	498 1.1×	89 1.1×	222 3.0×	101 1.4×	107 1.5×	30	855
Urarika Luesakul Thailand	9	378 0.8×	160 1.9×	105 1.4×	28 0.4×	80 1.1×	9	940
Xinyi Huang China	12	422 0.9×	102 1.2×	107 1.4×	16 0.2×	74 1.1×	37	826
Rehan M. Villani Australia	9	436 1.0×	130 1.6×	125 1.7×	16 0.2×	60 0.9×	19	787
Santosh S. Dhule United States	6	470 1.0×	241 2.9×	60 0.8×	165 2.3×	27 0.4×	7	735
Alireza Abhari Iran	15	441 1.0×	231 2.8×	64 0.9×	42 0.6×	43 0.6×	25	738
Tsung-Yao Lin Taiwan	7	221 0.5×	66 0.8×	42 0.6×	15 0.2×	48 0.7×	8	452
Tadashi Asakura Japan	16	309 0.7×	41 0.5×	87 1.2×	21 0.3×	47 0.7×	46	793
Xia Yuan China	14	328 0.7×	112 1.3×	253 3.4×	19 0.3×	58 0.8×	33	878
Zhenggang Bi China	15	300 0.7×	135 1.6×	60 0.8×	21 0.3×	27 0.4×	39	604

Countries citing papers authored by Qing Wu

Since Specialization

Citations

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

Fields of papers citing papers by Qing Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Wu. A scholar is included among the top collaborators of Qing Wu 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 Qing Wu. Qing Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Xinyi, et al.. (2025). Integrated multi-omics analysis reveals the immunotherapeutic significance of tumor cells with high FN1 expression in ovarian cancer. Frontiers in Molecular Biosciences. 12. 1611964–1611964.

Lizarraga, Sofia B., Li Ma, Laura I. van Dyck, et al.. (2021). Human neurons from Christianson syndrome iPSCs reveal mutation-specific responses to rescue strategies. Science Translational Medicine. 13(580). 20 indexed citations

Ouyang, Qing, Brian C. Kavanaugh, Lena Joesch-Cohen, et al.. (2019). GPT2 mutations in autosomal recessive developmental disability: extending the clinical phenotype and population prevalence estimates. Human Genetics. 138(10). 1183–1200. 6 indexed citations

Hu, Tianxiang, Qing Wu, Yating Chong, et al.. (2018). FGFR1 fusion kinase regulation of MYC expression drives development of stem cell leukemia/lymphoma syndrome. Leukemia. 32(11). 2363–2373. 19 indexed citations

Wu, Qing, Shuang Lin, Ziwei Chen, et al.. (2018). Hydroxysafflor yellow A sensitizes ovarian cancer cells to chemotherapeutic agent by decreasing WSB1 expression. European Journal of Integrative Medicine. 25. 6–12. 7 indexed citations

Li, Feng, Chuanxi Tang, Dan Jin, et al.. (2017). CUEDC2 suppresses glioma tumorigenicity by inhibiting the activation of STAT3 and NF-κB signaling pathway. International Journal of Oncology. 51(1). 115–127. 13 indexed citations

Pan, Yunlong, et al.. (2013). Inhibition effects of gold nanoparticles on proliferation and migration in hepatic carcinoma-conditioned HUVECs. Bioorganic & Medicinal Chemistry Letters. 24(2). 679–684. 28 indexed citations

Li, Chuanyin, Qing Wu, Bo Liu, et al.. (2013). Detection and Validation of Circulating Endothelial Cells, a Blood-based Diagnostic Marker of Acute Myocardial Infarction. PLoS ONE. 8(3). e58478–e58478. 20 indexed citations

Wu, Qing. (2012). Selection of valid reference genes for gene expression studies by quantitative real-time PCR in Plutella xylostella (Lepidoptera: Plutellidae) after exposure to Bt toxin. Acta Entomologica Sinica. 1 indexed citations

10.

Pi, Jiang, Hua Jin, Bing Song, et al.. (2012). Pathway of cytotoxicity induced by folic acid modified selenium nanoparticles in MCF-7 cells. Applied Microbiology and Biotechnology. 97(3). 1051–1062. 79 indexed citations

11.

Wu, Qing. (2011). The defending enzymes in abamectin resistant Plutella xylostella. Kunchong zhishi. 7 indexed citations

12.

Cui, Guohui, et al.. (2009). Effect of Gambogic acid on the regulation of hERG channel in K562 cells in vitro. Journal of Huazhong University of Science and Technology [Medical Sciences]. 29(5). 540–545. 11 indexed citations

13.

Wang, Yong, et al.. (2008). Gambogic acid induces death inducer-obliterator 1-mediated apoptosis in Jurkat T cells. Acta Pharmacologica Sinica. 29(3). 349–354. 16 indexed citations

14.

Chen, Yan, et al.. (2007). Curcumin, both Histone Deacetylase and p300/CBP‐Specific Inhibitor, Represses the Activity of Nuclear Factor Kappa B and Notch 1 in Raji Cells. Basic & Clinical Pharmacology & Toxicology. 101(6). 427–433. 141 indexed citations

15.

Wu, Qing, et al.. (2006). HDAC1 expression and effect of curcumin on proliferation of Raji cells. Journal of Huazhong University of Science and Technology [Medical Sciences]. 26(2). 199–201. 9 indexed citations

16.

Wu, Qing. (2005). Phase II study of recombinant human interleukin-11 treatment for chemotherapy-induced thrombocytopenia. Zhongguo aizheng zazhi. 1 indexed citations

17.

Chen, Yan, et al.. (2005). Growth-inhibitory effects of curcumin on Raji cells and its mechanisms. Chinese Journal of Cancer Research. 17(3). 203–206. 1 indexed citations

18.

Chen, Yan, et al.. (2004). Effects of curcumin on proliferation of NB4 cells and acetylation of histone H3 and P53. Chinese Journal of Cancer Research. 16(4). 256–259. 1 indexed citations

19.

Wu, Qing. (2002). Cuticular penetration and desensitivity of GABA_A receptor in abamectin resistant Plutella xylostella L.. Acta Entomologica Sinica. 3 indexed citations

20.

Wu, Qing, et al.. (1995). Clinical observation of high dose cinobufocini in attenuation and treatment of infection and granulocytopenia during combined chemotherapy of malignant blood disease. Chinese Journal of Integrated Traditional and Western Medicine. 1(1). 43–46. 1 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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