Meiping Wang

3.6k total citations
147 papers, 2.6k citations indexed

About

Meiping Wang is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Meiping Wang has authored 147 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Fluid Flow and Transfer Processes, 24 papers in Biomedical Engineering and 23 papers in Molecular Biology. Recurrent topics in Meiping Wang's work include Advanced Combustion Engine Technologies (50 papers), Biodiesel Production and Applications (24 papers) and Catalytic Processes in Materials Science (21 papers). Meiping Wang is often cited by papers focused on Advanced Combustion Engine Technologies (50 papers), Biodiesel Production and Applications (24 papers) and Catalytic Processes in Materials Science (21 papers). Meiping Wang collaborates with scholars based in China, Canada and United States. Meiping Wang's co-authors include Ming Zheng, Graham T. Reader, Zongliang Xia, Jimi Tjong, Mwila C. Mulenga, Xiaoye Han, Li Jiang, David S.‐K. Ting, Bin Du and Usman Asad and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Energy.

In The Last Decade

Meiping Wang

140 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Meiping Wang 873 697 397 384 341 147 2.6k
Kathryn McCarthy 268 0.3× 288 0.4× 190 0.5× 189 0.5× 344 1.0× 165 4.3k
Dariusz Nowak 102 0.1× 418 0.6× 888 2.2× 150 0.4× 140 0.4× 207 4.3k
Hideo Inaba 138 0.2× 767 1.1× 106 0.3× 568 1.5× 9 0.0× 266 3.1k
Byung Ho Lee 83 0.1× 386 0.6× 204 0.5× 35 0.1× 38 0.1× 217 3.0k
Abdul Rehman Khan 73 0.1× 368 0.5× 280 0.7× 398 1.0× 71 0.2× 97 2.5k
Hua Hu 8 0.0× 586 0.8× 197 0.5× 674 1.8× 48 0.1× 65 2.5k
Gérard B. Martin 83 0.1× 477 0.7× 49 0.1× 89 0.2× 10 0.0× 74 1.6k
James S. Ultman 92 0.1× 191 0.3× 54 0.1× 139 0.4× 27 0.1× 93 1.2k
Özlem Yalçın 79 0.1× 226 0.3× 188 0.5× 43 0.1× 17 0.0× 83 2.0k
Masaaki Takeuchi 8 0.0× 507 0.7× 378 1.0× 107 0.3× 61 0.2× 302 8.3k

Countries citing papers authored by Meiping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meiping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Meiping Wang. A scholar is included among the top collaborators of Meiping Wang 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 Meiping Wang. Meiping Wang 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.
Wang, Meiping, et al.. (2024). Father involvement and adolescent substance use: adolescents depression symptom as a mediator and maternal self-esteem as a moderator. Journal of Substance Use. 30(5). 733–740. 1 indexed citations
2.
Fang, Junwei, et al.. (2024). Influence of pancreaticoduodenectomy for periampullary carcinoma on intestinal microbiome and metabolites. Heliyon. 10(2). e24393–e24393. 1 indexed citations
3.
Yu, Xiao, et al.. (2023). Decarbonization potential of future sustainable propulsion—A review of road transportation. Energy Science & Engineering. 12(2). 438–455. 27 indexed citations
4.
Jia, Hui‐Miao, Xi Zheng, Wen Li, et al.. (2023). The attributable mortality of sepsis for acute kidney injury: a propensity-matched analysis based on multicenter prospective cohort study. Renal Failure. 45(1). 2162415–2162415. 9 indexed citations
5.
Wang, Shengqi, Meiping Wang, Li Jiang, & Xin Zhao. (2023). Low skeletal muscle quality extracted from CT is associated with poor outcomes in severe acute pancreatitis patients. European Journal of Radiology. 170. 111215–111215. 5 indexed citations
6.
Ma, Zheng, Meiping Wang, Xiaorong Xu, et al.. (2023). Thrombospondin-1 plasma levels associated with in-hospital major adverse cardiovascular events in patients with acute coronary syndrome. International Journal of Cardiology. 375. 98–103. 2 indexed citations
7.
Wang, Na, Ping Wang, Wen Li, et al.. (2022). Prognostic significance of malnutrition risk in elderly patients with acute kidney injury in the intensive care unit. BMC Nephrology. 23(1). 335–335. 7 indexed citations
9.
Jin, Bo, Wei Chen, Chao Wang, et al.. (2021). Perilesional white matter integrity in drug-resistant epilepsy related to focal cortical dysplasia. Seizure. 91. 484–489. 6 indexed citations
10.
Wang, Meiping, et al.. (2021). Cancer occurrence following azathioprine treatment in myasthenia gravis patients: A systematic review and meta-analysis. Journal of Clinical Neuroscience. 88. 70–74. 13 indexed citations
11.
Xi, Xiuming, Hui‐Miao Jia, Xi Zheng, et al.. (2021). Risk factors, clinical features and outcome of new-onset acute kidney injury among critically ill patients: a database analysis based on prospective cohort study. BMC Nephrology. 22(1). 289–289. 27 indexed citations
12.
Li, Wei, Anping Wang, Jiajia Jiang, et al.. (2020). Risk of chronic kidney disease defined by decreased estimated glomerular filtration rate in individuals with different prediabetic phenotypes: results from a prospective cohort study in China. BMJ Open Diabetes Research & Care. 8(1). e000955–e000955. 9 indexed citations
13.
Cai, Xueli, Jie Zhang, Jiajia Jiang, et al.. (2020). Relation of adipose tissue insulin resistance to prediabetes. Endocrine. 68(1). 93–102. 14 indexed citations
14.
Dou, Jingtao, Deqiang Zheng, Jie Zhang, et al.. (2020). <p>Association Between Abnormal Glycemic Phenotypes and Microvascular Complications of Type 2 Diabetes Mellitus Outpatients in China</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 4651–4659. 5 indexed citations
15.
Wen, Jing, Anping Wang, Guangxu Liu, et al.. (2020). Elevated triglyceride-glucose (TyG) index predicts incidence of Prediabetes: a prospective cohort study in China. Lipids in Health and Disease. 19(1). 54 indexed citations
16.
Ren, Jingnan, Yan Zhang, Gang Fan, et al.. (2018). Study on the optimization of the decolorization of orange essential oil. Food Science and Biotechnology. 27(4). 929–938. 6 indexed citations
18.
Tang, Lanhua, Shushan Zhao, Meiping Wang, et al.. (2012). Meta-analysis of association between PITX3 gene polymorphism and Parkinson's disease. Journal of the Neurological Sciences. 317(1-2). 80–86. 12 indexed citations
19.
Wang, Meiping, et al.. (2009). Study on the traditional Chinese medicine theory of floating acupuncture therapy.. Zhonghua zhongyiyao zazhi. 24(9). 1171–1173. 1 indexed citations
20.
Wu, Jing, Gang Wu, Meiping Wang, et al.. (2007). [Effect of atorvastatin on carotid intima-medial of thickness of primary hypertension patients of Han nationality in China].. PubMed. 87(31). 2215–7. 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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