Qi‐Nian Wu

1.7k total citations · 1 hit paper
33 papers, 1.1k citations indexed

About

Qi‐Nian Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Qi‐Nian Wu has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Qi‐Nian Wu's work include RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (9 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Qi‐Nian Wu is often cited by papers focused on RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (9 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Qi‐Nian Wu collaborates with scholars based in China, Hong Kong and Austria. Qi‐Nian Wu's co-authors include Rui‐Hua Xu, Huai‐Qiang Ju, Zexian Liu, Zhao-Lei Zeng, Heng‐Ying Pu, Peishan Hu, Kun Liao, Qi Zhao, Jin‐Fei Lin and Miao‐Zhen Qiu and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Qi‐Nian Wu

32 papers receiving 1.1k citations

Hit Papers

Phosphorylated NFS1 weakens oxaliplatin-based chemosensit... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi‐Nian Wu China 17 724 468 240 219 148 33 1.1k
Leyuan Zhou China 15 843 1.2× 762 1.6× 288 1.2× 124 0.6× 259 1.8× 37 1.3k
Yongfu Xiong China 19 516 0.7× 312 0.7× 254 1.1× 211 1.0× 102 0.7× 56 1.0k
Hiroaki Kasashima Japan 18 516 0.7× 271 0.6× 364 1.5× 148 0.7× 182 1.2× 42 941
Ziyou Lin China 10 1.3k 1.8× 825 1.8× 221 0.9× 284 1.3× 114 0.8× 15 1.6k
Jianting Long China 20 784 1.1× 512 1.1× 290 1.2× 125 0.6× 81 0.5× 51 1.2k
Peiguo Cao China 18 581 0.8× 496 1.1× 168 0.7× 130 0.6× 55 0.4× 58 878
Qi Song China 19 523 0.7× 377 0.8× 321 1.3× 209 1.0× 88 0.6× 50 1.0k
Rufu Chen China 18 801 1.1× 546 1.2× 433 1.8× 127 0.6× 197 1.3× 41 1.2k
Zhouyu Ning China 19 500 0.7× 357 0.8× 364 1.5× 134 0.6× 87 0.6× 40 911
Yun Che China 21 752 1.0× 568 1.2× 349 1.5× 304 1.4× 163 1.1× 43 1.2k

Countries citing papers authored by Qi‐Nian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qi‐Nian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi‐Nian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qi‐Nian Wu. A scholar is included among the top collaborators of Qi‐Nian 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 Qi‐Nian Wu. Qi‐Nian Wu 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.
Zheng, Yongqiang, Kai Yu, Jin‐Fei Lin, et al.. (2025). Deep learning prioritizes cancer mutations that alter protein nucleocytoplasmic shuttling to drive tumorigenesis. Nature Communications. 16(1). 2511–2511. 1 indexed citations
2.
Li, Rufei, et al.. (2025). Lower-limb movements prediction method based on adaptive temporal movement primitives for weight-loading exoskeletons. Industrial Robot the international journal of robotics research and application. 52(6). 866–876.
3.
Wu, Qi‐Nian, Ze-Kun Liu, Xiaojing Luo, et al.. (2024). HIPK3 maintains sensitivity to platinum drugs and prevents disease progression in gastric cancer. Cancer Letters. 584. 216643–216643. 7 indexed citations
4.
Li, Yuanfang, Yongqiang Zheng, Run‐Cong Nie, et al.. (2024). CAF-macrophage crosstalk in tumour microenvironments governs the response to immune checkpoint blockade in gastric cancer peritoneal metastases. Gut. 74(3). 350–363. 42 indexed citations
5.
Luo, Xiaojing, Yun‐Xin Lu, Yun Wang, et al.. (2024). M6A-modified lncRNA FAM83H-AS1 promotes colorectal cancer progression through PTBP1. Cancer Letters. 598. 217085–217085. 14 indexed citations
6.
Qiu, Miao‐Zhen, Qingjian Chen, Qi Zhao, et al.. (2023). Precise microdissection of gastric mixed adeno-neuroendocrine carcinoma dissects its genomic landscape and evolutionary clonal origins. Cell Reports. 42(6). 112576–112576. 3 indexed citations
7.
Tian, Tian, Yongqiang Zheng, Hai‐Yu Mo, et al.. (2023). The liver microenvironment orchestrates FGL1-mediated immune escape and progression of metastatic colorectal cancer. Nature Communications. 14(1). 6690–6690. 44 indexed citations
8.
Liu, Jia, Xiaojing Luo, Yan‐Xing Chen, et al.. (2023). Long noncoding RNA Regulating ImMune Escape regulates mixed lineage leukaemia protein‐1‐H3K4me3‐mediated immune escape in oesophageal squamous cell carcinoma. Clinical and Translational Medicine. 13(9). e1410–e1410. 30 indexed citations
9.
Liu, Zexian, Zhao-Lei Zeng, Xiao-Jing Luo, et al.. (2022). The Macrophage-Associated LncRNA MALR Facilitates ILF3 Liquid–Liquid Phase Separation to Promote HIF1α Signaling in Esophageal Cancer. Cancer Research. 83(9). 1476–1489. 37 indexed citations
10.
Luo, Xiaojing, Ming-Ming He, Jia Liu, et al.. (2022). LncRNA TMPO-AS1 promotes esophageal squamous cell carcinoma progression by forming biomolecular condensates with FUS and p300 to regulate TMPO transcription. Experimental & Molecular Medicine. 54(6). 834–847. 24 indexed citations
11.
Lin, Jin‐Fei, Peishan Hu, Yiyu Wang, et al.. (2022). Phosphorylated NFS1 weakens oxaliplatin-based chemosensitivity of colorectal cancer by preventing PANoptosis. Signal Transduction and Targeted Therapy. 7(1). 54–54. 226 indexed citations breakdown →
12.
Wang, Yingnan, Dan‐Yun Ruan, Zixian Wang, et al.. (2022). Targeting the cholesterol-RORα/γ axis inhibits colorectal cancer progression through degrading c-myc. Oncogene. 41(49). 5266–5278. 6 indexed citations
13.
Wu, Qi‐Nian, Xiao-Jing Luo, Jia Liu, et al.. (2021). MYC-Activated LncRNA MNX1-AS1 Promotes the Progression of Colorectal Cancer by Stabilizing YB1. Cancer Research. 81(10). 2636–2650. 59 indexed citations
14.
Hu, Peishan, Ting Li, Jin‐Fei Lin, et al.. (2020). VDR–SOX2 signaling promotes colorectal cancer stemness and malignancy in an acidic microenvironment. Signal Transduction and Targeted Therapy. 5(1). 183–183. 46 indexed citations
17.
Li, Ting, Peishan Hu, Zhixiang Zuo, et al.. (2019). Additional file 10: of METTL3 facilitates tumor progression via an m6A-IGF2BP2-dependent mechanism in colorectal carcinoma. Figshare. 1 indexed citations
18.
Wei, Xiaoli, Qi‐Nian Wu, Dongliang Chen, et al.. (2018). The Clinical and Biomarker Association of Programmed Death Ligand 1 and its Spatial Heterogeneous Expression in Colorectal Cancer. Journal of Cancer. 9(23). 4325–4333. 15 indexed citations
19.
20.
Cai, Muyan, Fei-Meng Zheng, Hui Rao, et al.. (2011). EZH2 protein: a promising immunomarker for the detection of hepatocellular carcinomas in liver needle biopsies. Gut. 60(7). 967–976. 138 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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