Qiting Wu

1.4k total citations
26 papers, 745 citations indexed

About

Qiting Wu is a scholar working on Oncology, Immunology and Materials Chemistry. According to data from OpenAlex, Qiting Wu has authored 26 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 12 papers in Immunology and 6 papers in Materials Chemistry. Recurrent topics in Qiting Wu's work include CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (6 papers). Qiting Wu is often cited by papers focused on CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (6 papers). Qiting Wu collaborates with scholars based in China, United Kingdom and Hong Kong. Qiting Wu's co-authors include Peng Li, Yao Yao, Ruocong Zhao, Simiao Lin, Duanqing Pei, Yunxin Lai, Xinru Wei, Pentao Liu, Le Qin and Baiheng Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Qiting Wu

23 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qiting Wu China	13	573	323	203	173	141	26	745
Simiao Lin China	8	364 0.6×	208 0.6×	119 0.6×	115 0.7×	87 0.6×	9	465
Xiuqi Wu China	9	557 1.0×	355 1.1×	299 1.5×	129 0.7×	121 0.9×	13	816
Yunxin Lai China	9	504 0.9×	250 0.8×	227 1.1×	175 1.0×	101 0.7×	10	779
Huiping Gao China	12	616 1.1×	392 1.2×	248 1.2×	142 0.8×	90 0.6×	22	889
Gary R. Point United States	5	622 1.1×	286 0.9×	130 0.6×	202 1.2×	177 1.3×	6	767
Robin Davies United States	4	519 0.9×	214 0.7×	103 0.5×	192 1.1×	145 1.0×	8	570
Zhenlong Ye China	13	593 1.0×	342 1.1×	330 1.6×	171 1.0×	162 1.1×	19	909
Guoxiu Du China	6	397 0.7×	233 0.7×	131 0.6×	84 0.5×	72 0.5×	6	516
Mohamed-Reda Benmebarek Germany	9	594 1.0×	259 0.8×	213 1.0×	190 1.1×	148 1.0×	17	686

Countries citing papers authored by Qiting Wu

Since Specialization

Citations

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

Fields of papers citing papers by Qiting Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiting Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qiting Wu. A scholar is included among the top collaborators of Qiting 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 Qiting Wu. Qiting 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

Hu, Min, et al.. (2025). Attitudes toward seeking professional psychological help among patients with colorectal cancer: A latent profile analysis. Asia-Pacific Journal of Oncology Nursing. 12. 100755–100755.

Wang, Jiongliang, Linfu Zhou, Le Qin, et al.. (2025). DNMT1 inhibition reprograms T cells to NK-like cells with potent antitumor activity. Science Immunology. 10(105). eadm8251–eadm8251. 3 indexed citations

Li, Yan‐Guang, Lili Wang, Xu Liu, et al.. (2025). Dynamic Increase of the C ₂ HEST Score in Relation to the Development of Incident Atrial Fibrillation: A Longitudinal Cohort Study. Journal of the American Heart Association. 14(19). e039231–e039231.

Zhou, Linfu, Diwei Zheng, Zhaoyang Tang, et al.. (2024). Bispecific CAR-T cells targeting FAP and GPC3 have the potential to treat hepatocellular carcinoma. SHILAP Revista de lepidopterología. 32(2). 200817–200817. 20 indexed citations

Li, Zihua, et al.. (2024). Moderating effects of preoperative knee pain and pain catastrophizing on the relation between COMT rs4680 genotypes and chronic postsurgical pain in total knee arthroplasty patients. Anaesthesia Critical Care & Pain Medicine. 43(2). 101361–101361. 2 indexed citations

Wu, Qiting, Shengping Liu, Ye Li, et al.. (2024). B₁ inhomogeneity corrected CEST MRI based on direct saturation removed omega plot model at 5T. Magnetic Resonance in Medicine. 92(2). 532–542. 4 indexed citations

Wu, Qiting, Bingsheng Huang, Guanxun Cheng, et al.. (2023). Fast and robust pulsed chemical exchange saturation transfer (CEST) MRI using a quasi-steady-state (QUASS) algorithm at 3 T. Magnetic Resonance Imaging. 105. 29–36. 3 indexed citations

Qin, Le, Jiang Lv, Di Wu, et al.. (2023). The onco-embryonic antigen ROR1 is a target of chimeric antigen T cells for colorectal cancer. International Immunopharmacology. 121. 110402–110402. 7 indexed citations

Li, Zihua, et al.. (2022). Prevalence and Predictors of Chronic Pain with Two-Year Follow-Up After Knee Arthroplasty. Journal of Pain Research. Volume 15. 1091–1105. 15 indexed citations

10.

Lv, Jiang, Ruocong Zhao, Di Wu, et al.. (2022). Disruption of CISH promotes the antitumor activity of human T cells and decreases PD-1 expression levels. Molecular Therapy — Oncolytics. 28. 46–58. 23 indexed citations

11.

Li, Ming, Shanglin Li, Ruocong Zhao, et al.. (2022). CD318 is a target of chimeric antigen receptor T cells for the treatment of colorectal cancer. Clinical and Experimental Medicine. 23(6). 2409–2419. 10 indexed citations

12.

Zhao, Ruocong, Shanglin Li, Jiang Lv, et al.. (2021). Human Hyaluronidase PH20 Potentiates the Antitumor Activities of Mesothelin-Specific CAR-T Cells Against Gastric Cancer. Frontiers in Immunology. 12. 660488–660488. 50 indexed citations

13.

Lin, Shouheng, Lin Cheng, Wei Ye, et al.. (2021). Chimeric CTLA4-CD28-CD3z T Cells Potentiate Antitumor Activity Against CD80/CD86–Positive B Cell Malignancies. Frontiers in Immunology. 12. 642528–642528. 19 indexed citations

14.

Wu, Di, Jiang Lv, Ruocong Zhao, et al.. (2020). PSCA is a target of chimeric antigen receptor T cells in gastric cancer. Biomarker Research. 8(1). 3–3. 34 indexed citations

15.

Qin, Le, Ruocong Zhao, Xinru Wei, et al.. (2020). Chimeric antigen receptor T cells targeting PD-L1 suppress tumor growth. Biomarker Research. 8(1). 19–19. 51 indexed citations

16.

Wei, Xinru, Yunxin Lai, Jin Li, et al.. (2017). PSCA and MUC1 in non-small-cell lung cancer as targets of chimeric antigen receptor T cells. OncoImmunology. 6(3). e1284722–e1284722. 106 indexed citations

17.

Zhang, Rundong, Siyuan Linpeng, Yihua Huang, et al.. (2017). Novel variants in PAX6 gene caused congenital aniridia in two Chinese families. Eye. 31(6). 956–961. 13 indexed citations

18.

Lai, Yunxin, Jianyu Weng, Le Qin, et al.. (2017). Toll-like receptor 2 costimulation potentiates the antitumor efficacy of CAR T Cells. Leukemia. 32(3). 801–808. 78 indexed citations

19.

Wei, Xinru, Yunxin Lai, Baiheng Li, et al.. (2017). CRISPR/Cas9-Mediated Deletion of Foxn1 in NOD/SCID/IL2rg−/− Mice Results in Severe Immunodeficiency. Scientific Reports. 7(1). 7720–7720. 8 indexed citations

20.

Qin, Le, Yunxin Lai, Ruocong Zhao, et al.. (2017). Incorporation of a hinge domain improves the expansion of chimeric antigen receptor T cells. Journal of Hematology & Oncology. 10(1). 68–68. 79 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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