Ping Wu

3.0k total citations
76 papers, 1.6k citations indexed

About

Ping Wu is a scholar working on Molecular Biology, Obstetrics and Gynecology and Epidemiology. According to data from OpenAlex, Ping Wu has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Obstetrics and Gynecology and 13 papers in Epidemiology. Recurrent topics in Ping Wu's work include Gestational Diabetes Research and Management (15 papers), Pregnancy and preeclampsia studies (12 papers) and Birth, Development, and Health (7 papers). Ping Wu is often cited by papers focused on Gestational Diabetes Research and Management (15 papers), Pregnancy and preeclampsia studies (12 papers) and Birth, Development, and Health (7 papers). Ping Wu collaborates with scholars based in China, United States and Australia. Ping Wu's co-authors include Shitong Lin, Yifan Meng, Canhui Cao, Wenhua Zhi, Qianqian Sun, Xingsheng Li, Yang‐Dong Guo, Bing Zhao, Yunyun Cao and Na Zhang and has published in prestigious journals such as Nucleic Acids Research, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Ping Wu

73 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Wu China 23 612 263 246 192 184 76 1.6k
Marie S. Tuttle United States 8 481 0.8× 80 0.3× 221 0.9× 89 0.5× 114 0.6× 11 4.1k
Mark Westerman United States 30 424 0.7× 56 0.2× 219 0.9× 237 1.2× 67 0.4× 69 3.9k
Jingfang Liu China 20 494 0.8× 53 0.2× 148 0.6× 68 0.4× 109 0.6× 104 1.3k
Tomoko Fujita Japan 18 376 0.6× 62 0.2× 196 0.8× 66 0.3× 76 0.4× 58 1.3k
Zheng Lin China 25 748 1.2× 61 0.2× 245 1.0× 36 0.2× 266 1.4× 128 1.7k
Elijah O. Kehinde Kuwait 25 494 0.8× 70 0.3× 257 1.0× 249 1.3× 467 2.5× 103 2.1k
Louis D. Wadsworth Canada 24 471 0.8× 83 0.3× 197 0.8× 69 0.4× 139 0.8× 69 2.2k
Cindy N. Roy United States 27 289 0.5× 48 0.2× 209 0.8× 47 0.2× 88 0.5× 39 3.3k
Yoichi Kobayashi Japan 26 462 0.8× 75 0.3× 421 1.7× 500 2.6× 247 1.3× 140 2.1k
Ralf L. Schild Germany 25 379 0.6× 153 0.6× 173 0.7× 1.1k 5.7× 276 1.5× 118 2.3k

Countries citing papers authored by Ping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Wu. A scholar is included among the top collaborators of Ping 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 Ping Wu. Ping 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, Yingru, Ping Wu, Fengjiang Sun, et al.. (2025). Association between Urinary Copper and Gestational Diabetes Mellitus: Role of Epigenome-Wide DNA Methylation and Proteomics. The Journal of Clinical Endocrinology & Metabolism. 111(4). 1136–1146. 2 indexed citations
2.
Wang, Tianlei, Ping Wu, Yuxiang Wang, et al.. (2025). Associations between combined healthy lifestyle and adverse birth outcomes in 2 prospective cohorts: roles of gut microbiota and serum metabolites. American Journal of Clinical Nutrition. 122(6). 1735–1747.
3.
Sun, Yi‐Min, Peng Fang, Xinyue Zhou, et al.. (2023). Autosomal dominant Parkinson's disease caused by the recently identified LRRK2 N1437D mutation in a Chinese family: Clinical features, imaging findings, and functional impact. Parkinsonism & Related Disorders. 111. 105441–105441. 1 indexed citations
4.
Wang, Yi, Ping Wu, Xue Yang, et al.. (2023). Blood Cell Parameters From Early to Middle Pregnancy and Risk of Gestational Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 108(12). e1702–e1711. 19 indexed citations
5.
Wu, Ping, Yi Wang, Yi Ye, et al.. (2023). Liver biomarkers, lipid metabolites, and risk of gestational diabetes mellitus in a prospective study among Chinese pregnant women. BMC Medicine. 21(1). 150–150. 25 indexed citations
6.
Lai, Yu‐Wei, Linjing Wu, Yi Wang, et al.. (2023). Association between Prepregnancy Weight Change and Risk of Gestational Diabetes Mellitus in Chinese Pregnant Women. American Journal of Clinical Nutrition. 117(6). 1353–1361. 3 indexed citations
7.
Wu, Ping, Yi Wang, Yi Ye, et al.. (2022). Serum Fetuin-A and Risk of Gestational Diabetes Mellitus: An Observational Study and Mendelian Randomization Analysis. The Journal of Clinical Endocrinology & Metabolism. 107(9). e3841–e3849. 4 indexed citations
8.
Wang, Yi, Ping Wu, Yichao Huang, et al.. (2022). BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women. Obesity. 30(10). 2044–2054. 35 indexed citations
9.
Ye, Yi, Ping Wu, Yi Wang, et al.. (2022). Adiponectin, leptin, and leptin/adiponectin ratio with risk of gestational diabetes mellitus: A prospective nested case-control study among Chinese women. Diabetes Research and Clinical Practice. 191. 110039–110039. 15 indexed citations
10.
Wang, Yi, Yichao Huang, Ping Wu, et al.. (2021). Plasma lipidomics in early pregnancy and risk of gestational diabetes mellitus: a prospective nested case–control study in Chinese women. American Journal of Clinical Nutrition. 114(5). 1763–1773. 52 indexed citations
11.
Gao, Chun, Ping Wu, Lan Yu, et al.. (2021). The application of CRISPR/Cas9 system in cervical carcinogenesis. Cancer Gene Therapy. 29(5). 466–474. 28 indexed citations
12.
Wu, Ping, et al.. (2021). Association of LINC00673 rs11655237 polymorphism with pediatric glioma susceptibility in a Chinese population. Translational Pediatrics. 10(7). 1890–1895. 1 indexed citations
13.
Meng, Yifan, Yan Liu, Shitong Lin, et al.. (2020). The effects of uterine manipulators in minimally invasive hysterectomy for endometrial cancer: A systematic review and meta-analysis. European Journal of Surgical Oncology. 46(7). 1225–1232. 18 indexed citations
15.
Lin, Shitong, Yifan Meng, Canhui Cao, et al.. (2020). Comprehensive analysis of LDHAP5 pseudogene expression and potential pathogenesis in ovarian serous cystadenocarcinoma. Cancer Cell International. 20(1). 229–229. 6 indexed citations
17.
Zhang, Na, Haijun Zhang, Qianqian Sun, et al.. (2017). Proteomic analysis reveals a role of melatonin in promoting cucumber seed germination under high salinity by regulating energy production. Scientific Reports. 7(1). 503–503. 135 indexed citations
18.
Liao, Wenting, Tingting Li, Zheng-Gen Wang, et al.. (2013). microRNA-224 Promotes Cell Proliferation and Tumor Growth in Human Colorectal Cancer by Repressing PHLPP1 and PHLPP2. Clinical Cancer Research. 19(17). 4662–4672. 99 indexed citations
19.
Wu, Ping. (2005). Expression of matrix metalloproteinase-2 and tissue inhibitor of metalloproteinase-2 in endometriosis. Di-san junyi daxue xuebao. 1 indexed citations
20.
Yi, Keke, et al.. (2003). Cloning and Expression Pattern Analysis of Nitrogen- Starvation-induced Genes in Rice. Journal of Integrative Plant Biology. 45(8). 974–980. 3 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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