Kejia Wu

820 total citations
36 papers, 559 citations indexed

About

Kejia Wu is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Kejia Wu has authored 36 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Epidemiology and 6 papers in Physiology. Recurrent topics in Kejia Wu's work include Reproductive System and Pregnancy (5 papers), Obstructive Sleep Apnea Research (4 papers) and Hair Growth and Disorders (3 papers). Kejia Wu is often cited by papers focused on Reproductive System and Pregnancy (5 papers), Obstructive Sleep Apnea Research (4 papers) and Hair Growth and Disorders (3 papers). Kejia Wu collaborates with scholars based in China, France and Taiwan. Kejia Wu's co-authors include Donghui Huang, Wanrong Wu, Li Zhang, Jie Dai, Xin Wei, Weina Yang, Yurou Chen, Yuexiong Yi, Wenyu Wu and Pu Ge and has published in prestigious journals such as Frontiers in Immunology, Journal of Affective Disorders and Environmental Science and Pollution Research.

In The Last Decade

Kejia Wu

33 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kejia Wu China 14 203 89 82 80 75 36 559
Tonia C. Carter United States 20 214 1.1× 116 1.3× 32 0.4× 78 1.0× 56 0.7× 33 762
Yanan Shi China 12 148 0.7× 56 0.6× 181 2.2× 107 1.3× 17 0.2× 29 608
Sefa Arlıer Türkiye 13 138 0.7× 103 1.2× 250 3.0× 271 3.4× 59 0.8× 30 777
Huijun Yang China 13 194 1.0× 87 1.0× 103 1.3× 64 0.8× 55 0.7× 39 621
Aurora Espejel-Núñez Mexico 19 95 0.5× 200 2.2× 260 3.2× 326 4.1× 51 0.7× 45 800
L. Villarreal Mexico 14 159 0.8× 46 0.5× 32 0.4× 41 0.5× 24 0.3× 97 553
Pei‐Fang Lai Taiwan 15 284 1.4× 79 0.9× 49 0.6× 18 0.2× 130 1.7× 31 619
Charles D. Lox United States 16 116 0.6× 25 0.3× 37 0.5× 51 0.6× 72 1.0× 46 616
Chiara Sartori Italy 23 192 0.9× 250 2.8× 145 1.8× 48 0.6× 123 1.6× 52 1.1k
Nihan Semerci United States 12 86 0.4× 80 0.9× 162 2.0× 154 1.9× 29 0.4× 21 483

Countries citing papers authored by Kejia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kejia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kejia Wu. A scholar is included among the top collaborators of Kejia 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 Kejia Wu. Kejia 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.
Feng, Yupeng, Yun Zou, Zixu Liu, et al.. (2025). Thermosensitive microemulsion gel incorporating nano-ZnO and black soybean tar improves treatment adherence and alleviates psoriasis-like skin disease. Colloids and Surfaces B Biointerfaces. 254. 114812–114812.
2.
Li, Cong, Qian Zeng, Xin Ju, et al.. (2025). Mutant p53 Regulates Pyruvate Dehydrogenase Kinase 1 ( PDK1 ) to Promote Proliferation and Migration in Breast Cancer. Cancer Science. 117(2). 335–352.
3.
Chen, Xi, Yang Zhao, Yuying Wu, et al.. (2025). Plasma metabolites, metabolic risk score and the risk of depression and anxiety disorders: A prospective cohort study. Journal of Affective Disorders. 389. 119673–119673.
4.
Wu, Kejia, et al.. (2024). Advances in the pathogenesis of vulvar lichen sclerosus. Molecular Biology Reports. 51(1). 396–396. 2 indexed citations
5.
Wei, Zhicheng, Huajun Xu, Kejia Wu, et al.. (2024). Relationships between apolipoprotein E and insulin resistance in patients with obstructive sleep apnoea: a large-scale cross-sectional study. Nutrition & Metabolism. 21(1). 40–40. 2 indexed citations
6.
Li, Xinyi, Chenyang Li, Zhicheng Wei, et al.. (2024). T266M variants of ANGPTL4 improve lipid metabolism by modifying their binding affinity to acetyl-CoA carboxylase in obstructive sleep apnea. Annals of Medicine. 56(1). 2337740–2337740. 2 indexed citations
7.
Wu, Kejia, Yiqi Zhang, Yuxin Liu, et al.. (2023). Phosphorylation of UHRF2 affects malignant phenotypes of HCC and HBV replication by blocking DHX9 ubiquitylation. Cell Death Discovery. 9(1). 27–27. 8 indexed citations
8.
Zhang, Yiqi, et al.. (2023). UHRF2 promotes the malignancy of hepatocellular carcinoma by PARP1 mediated autophagy. Cellular Signalling. 109. 110782–110782. 8 indexed citations
9.
Gui, Siyu, Kejia Wu, Wen Liu, et al.. (2022). Association Between Exposure to Per- and Polyfluoroalkyl Substances and Birth Outcomes: A Systematic Review and Meta-Analysis. Frontiers in Public Health. 10. 855348–855348. 53 indexed citations
10.
Wu, Kejia, Zhong Liu, Wanrong Wang, et al.. (2022). An artificially designed elastin-like recombinant polypeptide improves aging skin.. PubMed. 14(12). 8562–8571. 3 indexed citations
11.
Chen, Siyuan, Rongjuan Chen, Shangjing Liu, et al.. (2021). HBx promotes hepatocarcinogenesis by enhancing phosphorylation and blocking ubiquitinylation of UHRF2. Hepatology International. 15(3). 707–719. 8 indexed citations
12.
Wu, Kejia, et al.. (2021). UHRF2 promotes Hepatocellular Carcinoma Progression by Upregulating ErbB3/Ras/Raf Signaling Pathway. International Journal of Medical Sciences. 18(14). 3097–3105. 7 indexed citations
13.
Li, Na, et al.. (2021). C-type natriuretic peptide stimulates function of the murine Sertoli cells via activation of the NPR-B/cGMP/PKG signaling pathway. Acta Biochimica Polonica. 68(4). 603–609. 3 indexed citations
14.
Zhou, Yinghui, Qingmei Liu, Kejia Wu, et al.. (2020). Autologous activated platelet‐rich plasma in hair growth: A pilot study in male androgenetic alopecia with in vitro bioactivity investigation. Journal of Cosmetic Dermatology. 20(4). 1221–1230. 13 indexed citations
15.
Wu, Kejia, et al.. (2019). Bioinformatics approach reveals the critical role of TGF-β signaling pathway in pre-eclampsia development. European Journal of Obstetrics & Gynecology and Reproductive Biology. 240. 130–138. 10 indexed citations
16.
Wu, Kejia, Rui Tian, Jing Huang, et al.. (2018). Metformin alleviated endotoxemia-induced acute lung injury via restoring AMPK-dependent suppression of mTOR. Chemico-Biological Interactions. 291. 1–6. 45 indexed citations
17.
Liu, Gang, Kejia Wu, Li Zhang, et al.. (2017). Metformin attenuated endotoxin-induced acute myocarditis via activating AMPK. International Immunopharmacology. 47. 166–172. 29 indexed citations
18.
Hong, Linjun, Kun Han, Kejia Wu, et al.. (2017). E-cadherin and ZEB2 modulate trophoblast cell differentiation during placental development in pigs. Reproduction. 154(6). 765–775. 24 indexed citations
19.
Wu, Kejia, et al.. (2017). Metformin mitigates carbon tetrachloride-induced TGF-β1/Smad3 signaling and liver fibrosis in mice. Biomedicine & Pharmacotherapy. 90. 421–426. 44 indexed citations
20.
Huang, Donghui, et al.. (2015). Role of C-type natriuretic peptide in the function of normal human sperm. Asian Journal of Andrology. 18(1). 80–80. 19 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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