Jieying Wu

645 total citations
41 papers, 442 citations indexed

About

Jieying Wu is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Oncology. According to data from OpenAlex, Jieying Wu has authored 41 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 8 papers in Genetics and 8 papers in Oncology. Recurrent topics in Jieying Wu's work include Mesenchymal stem cell research (6 papers), Kidney Stones and Urolithiasis Treatments (4 papers) and Prostate Cancer Treatment and Research (4 papers). Jieying Wu is often cited by papers focused on Mesenchymal stem cell research (6 papers), Kidney Stones and Urolithiasis Treatments (4 papers) and Prostate Cancer Treatment and Research (4 papers). Jieying Wu collaborates with scholars based in China, United States and Hong Kong. Jieying Wu's co-authors include Tianxing Wang, Ping Wang, Ning Hu, Kaiqi Su, Brian Xi, Yama Abassi, Nan Li, Wei Ouyang, William Zhang and Xiao Yun Xu and has published in prestigious journals such as Frontiers in Immunology, Biosensors and Bioelectronics and Medicine.

In The Last Decade

Jieying Wu

38 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jieying Wu China 9 145 105 101 64 63 41 442
Jia‐Jye Lee United States 10 146 1.0× 95 0.9× 42 0.4× 43 0.7× 85 1.3× 11 389
Jia Huang China 14 229 1.6× 103 1.0× 38 0.4× 31 0.5× 71 1.1× 28 562
Yayoi Honda Japan 12 205 1.4× 70 0.7× 169 1.7× 163 2.5× 154 2.4× 47 579
Qiqi Lu China 15 280 1.9× 60 0.6× 41 0.4× 48 0.8× 25 0.4× 39 620
Susan K. Brusnahan United States 12 102 0.7× 65 0.6× 26 0.3× 36 0.6× 32 0.5× 18 449
Michael V. Ortiz United States 15 297 2.0× 49 0.5× 37 0.4× 86 1.3× 27 0.4× 52 682
Mikhail Konoplyannikov Russia 12 252 1.7× 77 0.7× 45 0.4× 97 1.5× 31 0.5× 44 600
Gwon‐Soo Jung South Korea 15 229 1.6× 43 0.4× 54 0.5× 58 0.9× 50 0.8× 27 591
Teruo Utsumi United States 12 222 1.5× 43 0.4× 66 0.7× 31 0.5× 24 0.4× 18 678
Owen Tang Australia 14 304 2.1× 75 0.7× 21 0.2× 80 1.3× 93 1.5× 29 646

Countries citing papers authored by Jieying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jieying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jieying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jieying Wu. A scholar is included among the top collaborators of Jieying 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 Jieying Wu. Jieying 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.
Szeto, Mindy D, Chandler W. Rundle, Jieying Wu, et al.. (2024). Dermatologic Data From the Global Burden of Disease Study 2019 and the PatientsLikeMe Online Support Community: Comparative Analysis. JMIR Dermatology. 7. e50449–e50449. 1 indexed citations
2.
Szeto, Mindy D, et al.. (2024). PatientsLikeMe and Online Patient Support Communities in Dermatology. JMIR Dermatology. 7. e50453–e50453. 2 indexed citations
3.
Szeto, Mindy D, et al.. (2024). Gender Parity Analysis of the Editorial Boards of Influential Dermatology Journals: Cross-Sectional Study. JMIR Dermatology. 7. e40819–e40819.
4.
Chen, Lu, Jieying Wu, Hui Zhang, et al.. (2024). Validation of the Center for Neurologic Study Bulbar Function Scale–Chinese version in a population with amyotrophic lateral sclerosis. Orphanet Journal of Rare Diseases. 19(1). 246–246.
5.
Zheng, Junjiong, Sihong Lu, Yi Huang, et al.. (2023). Preoperative fluorescence in situ hybridization analysis as a predictor of tumor recurrence in patients with non-muscle invasive bladder cancer: a bi-institutional study. Journal of Translational Medicine. 21(1). 685–685. 2 indexed citations
6.
Szeto, Mindy D, et al.. (2023). Skin of Color Representation Trends in JAAD Case Reports 2015-2021: Content Analysis. JMIR Dermatology. 6. e40816–e40816. 1 indexed citations
7.
He, Ji, Xiangyi Liu, Xiangyi Liu, et al.. (2023). Clinical features and genetic spectrum of Chinese patients with hereditary spastic paraplegia: A 14-year study. Frontiers in Genetics. 14. 1085442–1085442. 4 indexed citations
9.
Kong, Jianqiu, Junjiong Zheng, Jieying Wu, et al.. (2022). Development of a radiomics model to diagnose pheochromocytoma preoperatively: a multicenter study with prospective validation. Journal of Translational Medicine. 20(1). 31–31. 15 indexed citations
10.
Sun, Zhuolun, et al.. (2022). Identification of PLAUR-related ceRNA and immune prognostic signature for kidney renal clear cell carcinoma. Frontiers in Oncology. 12. 834524–834524. 7 indexed citations
11.
Zhang, Ling, Jieying Wu, Zhigang Fang, et al.. (2021). A Regulatory Loop Involving Notch and Wnt Signaling Maintains Leukemia Stem Cells in T-Cell Acute Lymphoblastic Leukemia. Frontiers in Cell and Developmental Biology. 9. 678544–678544. 5 indexed citations
12.
Zhou, Xiaoya, Li Huang, Jieying Wu, et al.. (2021). Impaired bone marrow microenvironment and stem cells in transfusion-dependent beta-thalassemia. Biomedicine & Pharmacotherapy. 146. 112548–112548. 4 indexed citations
13.
Wu, Jieying, Ya‐Ting Chang, Ying‐Chin Lin, et al.. (2018). Efficacy and Safety of Lesinurad in Patients with Hyperuricemia Associated with Gout: A Systematic Review and Meta‐Analysis of Randomized Controlled Trials. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 38(11). 1106–1119. 9 indexed citations
14.
Wu, Jieying, et al.. (2015). [Pooled Umbilical Cord Blood Plasma for Culturing UCMSC and Ex Vivo Expanding Umbilical Cord Blood CD34⁺ Cells].. PubMed. 23(4). 1112–9. 1 indexed citations
15.
Luo, Yun, Qiwei Jiang, Jieying Wu, et al.. (2015). Regulation of migration and invasion by Toll-like receptor-9 signaling network in prostate cancer. Oncotarget. 6(26). 22564–22574. 38 indexed citations
16.
Chen, Yanfen, et al.. (2012). [Study on antifungal susceptibility of different extract of Dryopteris fragrans].. PubMed. 35(12). 1981–5. 8 indexed citations
17.
Wen, Xingqiao, Xiaojuan Li, Bing Liao, et al.. (2009). Knockdown of p21-activated Kinase 6 Inhibits Prostate Cancer Growth and Enhances Chemosensitivity to Docetaxel. Urology. 73(6). 1407–1411. 40 indexed citations
18.
Wu, Jieying, et al.. (2006). [A modified method to isolate and identify the adult mesenchymal stem cells from human bone marrow].. PubMed. 14(3). 557–60. 1 indexed citations
19.
Xue, Zhao‐Ming, Xuanjun Zhang, Yupeng Tian, et al.. (2003). Synthesis, Crystal Structure and Nonlinear Optical Properties of Nickel(II) Complex with Schiff-base Ligand. Chinese Journal of Structural Chemistry. 22(3). 265–269. 1 indexed citations
20.
Li, Yan, Can Liao, Xing-Mei Xie, et al.. (2003). [Analysis of HLA matching probability in Guangzhou Cord Blood Bank].. PubMed. 11(4). 424–8. 1 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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