Junlu Wu

1.6k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

Junlu Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Junlu Wu has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Junlu Wu's work include Antimicrobial Peptides and Activities (7 papers), Cancer-related molecular mechanisms research (7 papers) and Extracellular vesicles in disease (7 papers). Junlu Wu is often cited by papers focused on Antimicrobial Peptides and Activities (7 papers), Cancer-related molecular mechanisms research (7 papers) and Extracellular vesicles in disease (7 papers). Junlu Wu collaborates with scholars based in China, Germany and United States. Junlu Wu's co-authors include Anquan Shang, Zujun Sun, Chenzheng Gu, Weiwei Wang, Bingjie Zeng, Wenqiang Quan, Ping Ji, Dong Li, Junjun Sun and Yiwen Yao and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Cancer Research.

In The Last Decade

Junlu Wu

42 papers receiving 1.2k citations

Hit Papers

Exosomal circPACRGL promotes progression of colorectal ca... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junlu Wu China 15 809 640 250 220 103 43 1.2k
Wenqiang Quan China 14 627 0.8× 454 0.7× 128 0.5× 176 0.8× 87 0.8× 36 918
Chengfei Jiang China 21 880 1.1× 707 1.1× 87 0.3× 168 0.8× 97 0.9× 46 1.2k
Tianqi Wu China 20 669 0.8× 556 0.9× 134 0.5× 176 0.8× 156 1.5× 38 1.1k
Jinshuo Fan China 15 490 0.6× 350 0.5× 258 1.0× 280 1.3× 217 2.1× 27 1.1k
Francesca Collina Italy 22 680 0.8× 428 0.7× 220 0.9× 581 2.6× 141 1.4× 49 1.3k
Sun-Hwa Kim South Korea 11 526 0.7× 230 0.4× 680 2.7× 347 1.6× 96 0.9× 13 1.3k
Gregory Cherryholmes United States 13 456 0.6× 220 0.3× 272 1.1× 247 1.1× 162 1.6× 13 917
Anna Pastò Italy 17 616 0.8× 355 0.6× 160 0.6× 246 1.1× 70 0.7× 26 970
Qijie Zhao China 17 593 0.7× 375 0.6× 290 1.2× 354 1.6× 157 1.5× 23 1.2k
Sara Tomei Qatar 20 521 0.6× 251 0.4× 405 1.6× 534 2.4× 131 1.3× 59 1.2k

Countries citing papers authored by Junlu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junlu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junlu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Junlu Wu. A scholar is included among the top collaborators of Junlu 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 Junlu Wu. Junlu 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.
Lu, Renquan, Ying Wu, Yiwen Yao, et al.. (2025). TERC Stimulates Fatty Acid Metabolism to Promote Bladder Cancer Progression. Cancer Research. 85(19). 3689–3705.
2.
Chen, Chen, Ying Wu, Junlu Wu, et al.. (2025). Identification of a panel of lncRNAs derived from urinary extracellular vesicles as non-invasive diagnostic biomarkers for bladder cancer. Clinica Chimica Acta. 575. 120376–120376. 1 indexed citations
3.
Gu, Chenzheng, Wenjing Chang, Junlu Wu, et al.. (2022). NCOA4: An Immunomodulation-Related Prognostic Biomarker in Colon Adenocarcinoma and Pan-Cancer. Journal of Oncology. 2022. 1–24. 11 indexed citations
4.
Gu, Chenzheng, Junlu Wu, Yiwen Yao, et al.. (2022). Immune Infiltration of Ulcerative Colitis and Detection of the m6A Subtype. Journal of Immunology Research. 2022. 1–16. 12 indexed citations
5.
Zhang, Wei, Weiwei Wang, Junlu Wu, et al.. (2022). Immune cell-lipoprotein imbalance as a marker for early diagnosis of non-small cell lung cancer metastasis. Frontiers in Oncology. 12. 942964–942964. 2 indexed citations
7.
Sun, Zujun, Junlu Wu, Jiale Tian, et al.. (2021). Proteomics-Based Identification of Candidate Exosomal Glycoprotein Biomarkers and Their Value for Diagnosing Colorectal Cancer. Frontiers in Oncology. 11. 725211–725211. 23 indexed citations
8.
Wang, Jiayong, Zujun Sun, Yibao Yang, et al.. (2021). Association of laboratory parameters and genetic polymorphisms with ischemic stroke in Chinese Han population. Experimental and Therapeutic Medicine. 21(5). 490–490. 5 indexed citations
9.
Shang, Anquan, Chenzheng Gu, Weiwei Wang, et al.. (2020). Exosomal circPACRGL promotes progression of colorectal cancer via the miR-142-3p/miR-506-3p- TGF-β1 axis. Molecular Cancer. 19(1). 117–117. 342 indexed citations breakdown →
10.
Zeng, Bingjie, Ping Ji, Chen Chen, et al.. (2020). A nomogram from the SEER database for predicting the prognosis of patients with non-small cell lung cancer. The International Journal of Biochemistry & Cell Biology. 127. 105825–105825. 5 indexed citations
11.
Shang, Anquan, Chenzheng Gu, Chen Zhou, et al.. (2020). Exosomal KRAS mutation promotes the formation of tumor-associated neutrophil extracellular traps and causes deterioration of colorectal cancer by inducing IL-8 expression. Cell Communication and Signaling. 18(1). 52–52. 100 indexed citations
12.
Ji, Ping, Yibao Yang, Junlu Wu, et al.. (2019). Myeloid cell-derived LL-37 promotes lung cancer growth by activating Wnt/β-catenin signaling. Theranostics. 9(8). 2209–2223. 39 indexed citations
13.
Shang, Anquan, Weiwei Wang, Chenzheng Gu, et al.. (2019). Long non-coding RNA HOTTIP enhances IL-6 expression to potentiate immune escape of ovarian cancer cells by upregulating the expression of PD-L1 in neutrophils. Journal of Experimental & Clinical Cancer Research. 38(1). 272–272. 160 indexed citations
14.
Yang, Yibao, Ping Ji, Xuan Wang, et al.. (2019). Bronchoalveolar Lavage Fluid-Derived Exosomes: A Novel Role Contributing to Lung Cancer Growth. Frontiers in Oncology. 9. 197–197. 17 indexed citations
16.
Quan, Wenqiang, Junlu Wu, Yan Dai, et al.. (2018). The value of red blood cell distribution width in diagnosis of patients with colorectal cancer. Clinica Chimica Acta. 479. 98–102. 33 indexed citations
17.
Sun, Zujun, Junlu Wu, Wenqiang Quan, et al.. (2018). Naloxone attenuates ischemic brain injury in rats through suppressing the NIK/IKKα/NF-κB and neuronal apoptotic pathways. Acta Pharmacologica Sinica. 40(2). 170–179. 23 indexed citations
18.
Wu, Junlu, et al.. (2016). Significance of TNF-α and IL-6 expression in invasive pituitary adenomas. Genetics and Molecular Research. 15(1). 15 indexed citations
20.
Wang, Xuan, Junlu Wu, Wenqiang Quan, et al.. (2012). CDA-2, a Urinary Preparation, Inhibits Lung Cancer Development through the Suppression of NF-kappaB Activation in Myeloid Cell. PLoS ONE. 7(12). e52117–e52117. 7 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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