Jingfang Wu

956 total citations
34 papers, 748 citations indexed

About

Jingfang Wu is a scholar working on Molecular Biology, Sensory Systems and Cancer Research. According to data from OpenAlex, Jingfang Wu has authored 34 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Sensory Systems and 7 papers in Cancer Research. Recurrent topics in Jingfang Wu's work include Hearing, Cochlea, Tinnitus, Genetics (11 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (4 papers). Jingfang Wu is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (11 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (4 papers). Jingfang Wu collaborates with scholars based in China, United States and Sweden. Jingfang Wu's co-authors include Renjie Chai, Wenyan Li, Shan Sun, Huawei Li, Jianming Yang, Zheng‐Yi Chen, Linlang Guo, Shumei Liang, Xiaoxian Huang and Weimei Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Jingfang Wu

34 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingfang Wu China 12 409 295 273 79 66 34 748
Xin Cao China 16 415 1.0× 244 0.8× 81 0.3× 33 0.4× 28 0.4× 57 719
Julie A. Alosi United States 9 170 0.4× 197 0.7× 58 0.2× 34 0.4× 39 0.6× 12 406
Shimon P. Francis United States 9 218 0.5× 265 0.9× 71 0.3× 36 0.5× 21 0.3× 10 442
Sung K. Moon United States 15 140 0.3× 171 0.6× 37 0.1× 81 1.0× 28 0.4× 33 535
Mohsin Shahzad Pakistan 13 355 0.9× 303 1.0× 53 0.2× 51 0.6× 17 0.3× 30 668
Satoko Abe Japan 17 310 0.8× 234 0.8× 122 0.4× 29 0.4× 42 0.6× 33 1.1k
Yichun Wang China 15 298 0.7× 55 0.2× 133 0.5× 50 0.6× 88 1.3× 49 536
Mingyu Han China 14 229 0.6× 204 0.7× 47 0.2× 34 0.4× 25 0.4× 45 577
Yan Zhu China 13 445 1.1× 201 0.7× 120 0.4× 60 0.8× 40 0.6× 44 736
Chunjie Tian South Korea 12 139 0.3× 206 0.7× 35 0.1× 44 0.6× 16 0.2× 17 367

Countries citing papers authored by Jingfang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jingfang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingfang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingfang Wu. A scholar is included among the top collaborators of Jingfang 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 Jingfang Wu. Jingfang 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.
Li, Min, Ziwen Li, Jiayin Song, et al.. (2025). KLK7 Involvement in Thyroid Papillary Carcinoma Cell Migration and Invasion by EMT via MAPK/ERK Pathways. Journal of Cancer. 16(5). 1709–1725. 1 indexed citations
2.
Peng, Xufeng, Shuyi Yang, Yantian Zhang, et al.. (2025). RFSC: Multimodal medical image alignment fusion diagnostic classification network based on de discriminator image translation. Biomedical Signal Processing and Control. 109. 107905–107905. 1 indexed citations
3.
Tang, Dongmei, Jingfang Wu, Yimeng Li, et al.. (2023). Cinchonine and cinchonidine alleviate cisplatin‐induced ototoxicity by regulating PI3K‐AKT signaling. CNS Neuroscience & Therapeutics. 30(2). e14403–e14403. 9 indexed citations
4.
Wu, Jingfang, et al.. (2023). Formononetin ameliorates cisplatin-induced hair cell death via activation of the PI3K/AKT-Nrf2 signaling pathway. Heliyon. 10(1). e23750–e23750. 6 indexed citations
5.
Qian, Tingting, et al.. (2022). IL-17 is a Potential Therapeutic Target in a Rodent Model of Otitis Media with Effusion. SHILAP Revista de lepidopterología. 8 indexed citations
6.
7.
Xu, Lin, et al.. (2021). ADORA1 is a diagnostic-related biomarker and correlated with immune infiltrates in papillary thyroid carcinoma. Journal of Cancer. 12(13). 3997–4010. 10 indexed citations
8.
Li, Guangfei, et al.. (2021). Electrospun regenerated silk fibroin is a promising biomaterial for the maintenance of inner ear progenitors in vitro. Journal of Biomaterials Applications. 36(7). 1164–1172. 4 indexed citations
9.
Zeng, Shan, Wenli Ni, Dan You, et al.. (2020). Toxic Effects of 3,3′-Iminodipropionitrile on Vestibular System in Adult C57BL/6J MiceIn Vivo. Neural Plasticity. 2020. 1–11. 6 indexed citations
10.
Wu, Jingfang, Xinran Dong, Wen Li, et al.. (2020). Dibenzazepine promotes cochlear supporting cell proliferation and hair cell regeneration in neonatal mice. Cell Proliferation. 53(9). e12872–e12872. 4 indexed citations
11.
Wu, Jingfang, et al.. (2019). Nodal increases the malignancy of childhood neuroblastoma cells via regulation of Zeb1. BioFactors. 45(3). 355–363. 3 indexed citations
12.
Li, Man, et al.. (2019). Integrated high-throughput analysis identifies super enhancers associated with chemoresistance in SCLC. BMC Medical Genomics. 12(1). 67–67. 18 indexed citations
13.
Huang, Weimei, Jingfang Wu, Yuchun Niu, et al.. (2019). Circular RNA cESRP1 sensitises small cell lung cancer cells to chemotherapy by sponging miR-93-5p to inhibit TGF-β signalling. Cell Death and Differentiation. 27(5). 1709–1727. 126 indexed citations
14.
Ni, Wenli, Lin Chen, Luo Guo, et al.. (2016). Extensive Supporting Cell Proliferation and Mitotic Hair Cell Generation by In Vivo Genetic Reprogramming in the Neonatal Mouse Cochlea. Journal of Neuroscience. 36(33). 8734–8745. 58 indexed citations
15.
Li, Yimeng, Ao Li, Jingfang Wu, et al.. (2016). MiR-182-5p protects inner ear hair cells from cisplatin-induced apoptosis by inhibiting FOXO3a. Cell Death and Disease. 7(9). e2362–e2362. 41 indexed citations
16.
Zhang, Tingting, et al.. (2015). [The effect of TFF3 on the proliferation and migration of papillary thyroid carcinoma K1 cell].. PubMed. 29(13). 1194–8. 1 indexed citations
17.
Wu, Jingfang, Shan Sun, Wenyan Li, Yan Chen, & Huawei Li. (2014). pRb phosphorylation regulates the proliferation of supporting cells in gentamicin-damaged neonatal avian utricle. Neuroreport. 25(14). 1144–1150. 5 indexed citations
18.
Li, Wenyan, Jingfang Wu, Jianming Yang, et al.. (2014). Notch inhibition induces mitotically generated hair cells in mammalian cochleae via activating the Wnt pathway. Proceedings of the National Academy of Sciences. 112(1). 166–171. 151 indexed citations
19.
Xue, Gang, Junchao Liu, Jing Zhang, et al.. (2013). [Detection of galectin-3 in both serum and tissue for early diagnosis of thyroid carcinoma].. PubMed. 33(7). 1027–30. 6 indexed citations
20.
Wu, Jingfang, et al.. (2012). Extracranial and intracranial complications of otitis media: 22-year clinical experience and analysis. Acta Oto-Laryngologica. 132(3). 261–265. 49 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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