Jiangchun Wu

534 total citations
24 papers, 363 citations indexed

About

Jiangchun Wu is a scholar working on Molecular Biology, Oncology and Reproductive Medicine. According to data from OpenAlex, Jiangchun Wu has authored 24 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Reproductive Medicine. Recurrent topics in Jiangchun Wu's work include Ovarian cancer diagnosis and treatment (6 papers), Ferroptosis and cancer prognosis (3 papers) and RNA modifications and cancer (3 papers). Jiangchun Wu is often cited by papers focused on Ovarian cancer diagnosis and treatment (6 papers), Ferroptosis and cancer prognosis (3 papers) and RNA modifications and cancer (3 papers). Jiangchun Wu collaborates with scholars based in China. Jiangchun Wu's co-authors include Ruobing Wang, Yong Wu, Lin Liu, Zhouheng Ye, Xuejun Sun, David S. Wilson, Simin Wang, Paul Peluso, Steffen Nock and Qinhao Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Brain Research.

In The Last Decade

Jiangchun Wu

23 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangchun Wu China 11 169 67 48 47 38 24 363
Fang Fan China 12 136 0.8× 44 0.7× 34 0.7× 28 0.6× 68 1.8× 29 428
Li Yy China 10 170 1.0× 44 0.7× 18 0.4× 39 0.8× 70 1.8× 41 367
Xiaoxiao Mao China 12 250 1.5× 30 0.4× 20 0.4× 103 2.2× 109 2.9× 23 480
Alí Francisco Citalán‐Madrid Mexico 7 152 0.9× 44 0.7× 38 0.8× 61 1.3× 20 0.5× 11 378
Bo Yan China 14 335 2.0× 54 0.8× 26 0.5× 61 1.3× 46 1.2× 50 550
Şenay Balcı Türkiye 9 236 1.4× 22 0.3× 17 0.4× 59 1.3× 212 5.6× 31 442
Linlu Tian United States 11 149 0.9× 19 0.3× 31 0.6× 101 2.1× 23 0.6× 22 328
Hamid Suhail United States 9 163 1.0× 31 0.5× 16 0.3× 87 1.9× 47 1.2× 15 329
Swati Paliwal India 9 279 1.7× 80 1.2× 15 0.3× 21 0.4× 50 1.3× 19 506
Swarna Lekha Vijayaraj Australia 6 216 1.3× 25 0.4× 33 0.7× 120 2.6× 26 0.7× 6 378

Countries citing papers authored by Jiangchun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiangchun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangchun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangchun Wu. A scholar is included among the top collaborators of Jiangchun 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 Jiangchun Wu. Jiangchun 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.
Fang, Chi, Yong Wu, Ying Wu, et al.. (2025). The effectiveness of anti-PD-L1 treatment and the underlying regulatory mechanism in ovarian clear cell carcinoma. International Immunopharmacology. 164. 115344–115344.
2.
Pang, Dong, et al.. (2025). Integrative single-cell and exosomal multi-omics uncovers SCNN1A and EFNA1 as non-invasive biomarkers and drivers of ovarian cancer metastasis. Frontiers in Immunology. 16. 1630794–1630794. 1 indexed citations
3.
Wu, Jiangchun, Yong Wu, Siyu Chen, et al.. (2024). PARP1-stabilised FOXQ1 promotes ovarian cancer progression by activating the LAMB3/WNT/β-catenin signalling pathway. Oncogene. 43(12). 866–883. 8 indexed citations
4.
Wu, Jiangchun, Yong Wu, Tianyi Zhao, et al.. (2024). Targeting RAC1 reactivates pyroptosis to reverse paclitaxel resistance in ovarian cancer by suppressing P21‐activated kinase 4. SHILAP Revista de lepidopterología. 5(9). e719–e719. 4 indexed citations
5.
Liu, Chaohua, Fei Xu, Lihua Chen, et al.. (2024). PARP1-DOT1L transcription axis drives acquired resistance to PARP inhibitor in ovarian cancer. Molecular Cancer. 23(1). 111–111. 7 indexed citations
6.
Guo, Qinhao, Linhao Qu, Jun Zhu, et al.. (2023). Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images. Modern Pathology. 36(12). 100316–100316. 9 indexed citations
7.
Wu, Jiangchun, Qinhao Guo, Jun Zhu, et al.. (2023). Developing a nomogram for preoperative prediction of cervical cancer lymph node metastasis by multiplex immunofluorescence. BMC Cancer. 23(1). 485–485. 2 indexed citations
8.
Wu, Yong, Yang Shao, Ying Su, et al.. (2023). KLF5 Promotes Tumor Progression and Parp Inhibitor Resistance in Ovarian Cancer. Advanced Science. 10(31). e2304638–e2304638. 21 indexed citations
9.
Wu, Jiangchun, Yong Wu, Qinhao Guo, et al.. (2022). SPOP promotes cervical cancer progression by inducing the movement of PD-1 away from PD-L1 in spatial localization. Journal of Translational Medicine. 20(1). 384–384. 10 indexed citations
10.
Chen, Siyu, Yong Wu, Simin Wang, et al.. (2022). A risk model of gene signatures for predicting platinum response and survival in ovarian cancer. Journal of Ovarian Research. 15(1). 39–39. 18 indexed citations
11.
Wu, Jiangchun, Yong Wu, Qinhao Guo, Simin Wang, & Xiaohua Wu. (2022). RNA-binding proteins in ovarian cancer: a novel avenue of their roles in diagnosis and treatment. Journal of Translational Medicine. 20(1). 37–37. 12 indexed citations
12.
Liang, Siyuan, et al.. (2022). Clinical value and application of a novel nomogram containing inflammatory, nutritional and clinical markers in predicting overall survival of stage II/III gastric cancer patients after radical resection: a bi-centered retrospective study of 2,443 patients.. PubMed. 14(7). 5107–5115. 3 indexed citations
13.
Wang, Ruobing, et al.. (2017). Methane rescues retinal ganglion cells and limits retinal mitochondrial dysfunction following optic nerve crush. Experimental Eye Research. 159. 49–57. 20 indexed citations
14.
Wu, Jiangchun, et al.. (2017). Hydrogen postconditioning promotes survival of rat retinal ganglion cells against ischemia/reperfusion injury through the PI3K/Akt pathway. Biochemical and Biophysical Research Communications. 495(4). 2462–2468. 17 indexed citations
15.
16.
Liu, Lin, et al.. (2016). Methane attenuates retinal ischemia/reperfusion injury via anti-oxidative and anti-apoptotic pathways. Brain Research. 1646. 327–333. 36 indexed citations
17.
Wang, Ruobing, et al.. (2015). Low-dose carbon monoxide inhalation protects neuronal cells from apoptosis after optic nerve crush. Biochemical and Biophysical Research Communications. 469(4). 809–815. 12 indexed citations
18.
Wu, Jiangchun, et al.. (2015). Protective effects of methane-rich saline on diabetic retinopathy via anti-inflammation in a streptozotocin-induced diabetic rat model. Biochemical and Biophysical Research Communications. 466(2). 155–161. 66 indexed citations
19.
20.
Wilson, David S., Jiangchun Wu, Paul Peluso, & Steffen Nock. (2002). Improved method for pepsinolysis of mouse IgG1 molecules to F(ab′)2 fragments. Journal of Immunological Methods. 260(1-2). 29–36. 26 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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