Ying Wu

2.2k total citations
84 papers, 1.0k citations indexed

About

Ying Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Ying Wu has authored 84 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Ying Wu's work include Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Advanced Vision and Imaging (3 papers). Ying Wu is often cited by papers focused on Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Advanced Vision and Imaging (3 papers). Ying Wu collaborates with scholars based in China, United States and Canada. Ying Wu's co-authors include Jun S. Liu, Shengyang Dai, Richard J. Cook, Vinod Chandran, Dafna D. Gladman, Lihi Eder, Robert M.W. Hofstra, Charles H.C.M. Buys, Ray‐Bing Chen and Chi‐Hsiang Chu and has published in prestigious journals such as Journal of the American Statistical Association, The Journal of Clinical Endocrinology & Metabolism and Biometrics.

In The Last Decade

Ying Wu

68 papers receiving 975 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Wu China 15 243 193 157 149 94 84 1.0k
Kim‐Anh Do United States 14 144 0.6× 344 1.8× 241 1.5× 60 0.4× 144 1.5× 34 1.8k
J. Sunil Rao United States 20 474 2.0× 497 2.6× 335 2.1× 65 0.4× 88 0.9× 77 1.9k
Udaya B. Kogalur United States 8 177 0.7× 225 1.2× 175 1.1× 22 0.1× 125 1.3× 8 1.0k
Sara A. van de Geer Netherlands 11 766 3.2× 722 3.7× 393 2.5× 114 0.8× 110 1.2× 20 2.0k
Uri Shaham United States 11 127 0.5× 325 1.7× 748 4.8× 154 1.0× 141 1.5× 16 1.6k
Faisal M. Khan United States 15 78 0.3× 117 0.6× 197 1.3× 54 0.4× 77 0.8× 65 1.2k
Dinesh Singh United States 21 123 0.5× 1.8k 9.2× 507 3.2× 306 2.1× 550 5.9× 100 3.4k
Stephan Morgenthaler Switzerland 22 501 2.1× 317 1.6× 110 0.7× 30 0.2× 73 0.8× 86 1.7k
Anna Maria Paganoni Italy 22 259 1.1× 99 0.5× 228 1.5× 17 0.1× 30 0.3× 108 1.4k
Gabriel Lang United States 21 188 0.8× 195 1.0× 115 0.7× 47 0.3× 47 0.5× 76 1.7k

Countries citing papers authored by Ying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Wu. A scholar is included among the top collaborators of Ying 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 Ying Wu. Ying 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.
Zheng, Shao Jian, Chunyan Guo, Jie Gao, et al.. (2025). Impact of temperature on firefighter task performance and subjective workload in VR simulations. Fire Safety Journal. 153. 104384–104384.
2.
Wu, Ying, et al.. (2025). Prognostic value of the controlling nutritional status (CONUT) score in patients with diffuse large B-cell lymphoma: a meta-analysis. World Journal of Surgical Oncology. 23(1). 28–28. 1 indexed citations
3.
Wu, Ying, et al.. (2024). Two new pregnane alkaloids from Pachysandra terminalis Sieb. et Zucc. and their cytotoxic activities. Natural Product Research. 39(21). 6272–6278. 1 indexed citations
4.
Li, Bicheng, et al.. (2024). MCM-ViT:Mask-guided context-enhanced multi-scale transformer for fine-grained visual classification. Computers & Electrical Engineering. 122. 109888–109888.
5.
Wu, Ying, et al.. (2024). Identification and validation of fibroblast-related biomarkers in rheumatoid arthritis by bulk RNA-seq and single-cell RNA-seq analysis. Clinical and Experimental Rheumatology. 43(7). 1303–1312. 1 indexed citations
6.
Liu, Yaxiao, Ying Wu, Dongdong Zhang, et al.. (2024). Saponins as potential novel NLRP3 inflammasome inhibitors for inflammatory disorders. Archives of Pharmacal Research. 47(10-11). 757–792. 1 indexed citations
7.
Wu, Ying, et al.. (2023). METTL14 Facilitates the Metastasis of Pancreatic Carcinoma by Stabilizing LINC00941 in an m6A-IGF2BP2-Dependent Manner. Journal of Cancer. 14(7). 1117–1131. 9 indexed citations
8.
Li, Mengmeng, Ying Wu, Chunlin Zhang, et al.. (2023). Projecting the excess mortality due to heatwave and its characteristics under climate change, population and adaptation scenarios. International Journal of Hygiene and Environmental Health. 250. 114157–114157. 21 indexed citations
9.
Wu, Ying, et al.. (2023). A unified geographically weighted regression model. Spatial Statistics. 55. 100753–100753. 9 indexed citations
11.
Wu, Ying, et al.. (2023). Vitamin D status among infants and children in Shanghai, China: A hospital‐based study. Food Science & Nutrition. 11(6). 3111–3120. 2 indexed citations
12.
Li, Da, Ying Wu, Yuanyuan Zhang, et al.. (2022). Enteral nutrition for children with acute leukemia-related pancreatitis. Nutrition. 103-104. 111810–111810.
13.
Wu, Ying, et al.. (2022). MicroRNA-204-5p Hampers the Malignant Progression of Clear Cell Renal Cell Carcinoma through GXYLT2 Downregulation. Kidney & Blood Pressure Research. 47(11). 654–663.
14.
Wu, Ying, Juan Pan, Xiaona Chang, et al.. (2022). Partial response to pralsetinib in an advanced pulmonary sarcomatoid carcinoma patient harboring a KIF5B-RET rearrangement: a case report. World Journal of Surgical Oncology. 20(1). 386–386. 5 indexed citations
15.
Zheng, Xiaoxiao, Yisong Yu, Li Zheng, et al.. (2022). Renal cell carcinoma-derived exosomes deliver lncARSR to induce macrophage polarization and promote tumor progression via STAT3 pathway. International Journal of Biological Sciences. 18(8). 3209–3222. 77 indexed citations
16.
Wu, Ying & Richard J. Cook. (2017). Variable selection and prediction in biased samples with censored outcomes. Lifetime Data Analysis. 24(1). 72–93. 4 indexed citations
17.
Eder, Lihi, Ying Wu, Vinod Chandran, Richard J. Cook, & Dafna D. Gladman. (2015). Incidence and predictors for cardiovascular events in patients with psoriatic arthritis. Annals of the Rheumatic Diseases. 75(9). 1680–1686. 83 indexed citations
18.
Wu, Ying. (2014). Determinants of U.S. Consumption Expenditures: 1999-2008. 15(3). 32–42. 1 indexed citations
19.
Liu, Jun S. & Ying Wu. (1999). Parameter Expansion for Data Augmentation. Journal of the American Statistical Association. 94(448). 1264–1274. 204 indexed citations
20.
Hofstra, Robert M.W., Loredana Quadro, Ying Wu, et al.. (1997). A Novel Point Mutation in the Intracellular Domain of theretProtooncogene in a Family with Medullary Thyroid Carcinoma1. The Journal of Clinical Endocrinology & Metabolism. 82(12). 4176–4178. 84 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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