Yingping Wang

1.0k total citations
17 papers, 744 citations indexed

About

Yingping Wang is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Yingping Wang has authored 17 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Plant Science. Recurrent topics in Yingping Wang's work include Ginseng Biological Effects and Applications (9 papers), Pharmacological Effects of Natural Compounds (4 papers) and Plant Gene Expression Analysis (3 papers). Yingping Wang is often cited by papers focused on Ginseng Biological Effects and Applications (9 papers), Pharmacological Effects of Natural Compounds (4 papers) and Plant Gene Expression Analysis (3 papers). Yingping Wang collaborates with scholars based in China, United States and Canada. Yingping Wang's co-authors include Bruce A. Roe, Elizabeth H. Gray, Lisa A. Lewis, David W. Dyer, William R. Pearson, Luiz S. Ozaki, Myrna G. Serrano, Aaron J. Mackey, Gregory A. Buck and Saul Tzipori and has published in prestigious journals such as Nature, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Yingping Wang

14 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingping Wang China	8	329	325	168	108	62	17	744
Raúl Argüello-García Mexico	19	501 1.5×	196 0.6×	309 1.8×	64 0.6×	110 1.8×	42	847
Maria Wesołowska Poland	14	234 0.7×	122 0.4×	278 1.7×	128 1.2×	88 1.4×	55	703
P. Ramadass India	16	465 1.4×	142 0.4×	250 1.5×	122 1.1×	41 0.7×	64	1.1k
Fengbin Yan China	19	113 0.3×	310 1.0×	76 0.5×	38 0.4×	86 1.4×	43	861
Haifeng Liu China	18	381 1.2×	183 0.6×	209 1.2×	33 0.3×	51 0.8×	59	789
Ronald Cutler United Kingdom	14	106 0.3×	279 0.9×	304 1.8×	74 0.7×	195 3.1×	33	747
John C. Freedman United States	18	87 0.3×	385 1.2×	661 3.9×	76 0.7×	18 0.3×	29	1.1k
K. Noel Masihi Germany	17	74 0.2×	172 0.5×	119 0.7×	272 2.5×	72 1.2×	48	765
Maria Y. Pakharukova Russia	17	455 1.4×	123 0.4×	53 0.3×	52 0.5×	46 0.7×	58	734
Shih-Yi Peng Taiwan	15	179 0.5×	182 0.6×	80 0.5×	53 0.5×	28 0.5×	44	539

Countries citing papers authored by Yingping Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yingping Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingping Wang. A scholar is included among the top collaborators of Yingping 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 Yingping Wang. Yingping Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Li, Jiaheng, et al.. (2025). Alginate-based electrospinning composite nanofibers as eco-friendly seed coatings for enhancing medicinal plants germination and seedling vigor. International Journal of Biological Macromolecules. 331(Pt 1). 148276–148276. 1 indexed citations

Wang, Zilong, Yingping Wang, Peng Di, et al.. (2025). Comparative Metabolome and Transcriptome analyses Reveal Mechanisms for Differences in Ginsenoside Profiles of Herbal Medicines Derived from Panax Species. Engineering.

Wang, Ping, Linqiang Zhang, Jian‐Kang Chen, et al.. (2025). Genome-wide analysis of the WRKY transcription factor family in Perilla frutescens and the positive role of PfWRKY38, PfWRKY59, and PfWRKY78 in regulating rosmarinic acid biosynthesis. Industrial Crops and Products. 238. 122338–122338.

Wang, Fu, Jinxi Li, Yifei Wang, et al.. (2025). Telomere to telomere flax (Linum usitatissimum L.) genome assembly unlocks insights beyond fatty acid metabolism pathways. Horticulture Research. 12(8). uhaf127–uhaf127.

Chen, Jian‐Kang, Ping Wang, Yihan Wang, et al.. (2024). Genome-Wide Characterization and Analysis of the bHLH Gene Family in Perilla frutescens. International Journal of Molecular Sciences. 25(24). 13717–13717. 2 indexed citations

Wang, Qi, et al.. (2024). [Identification and expression pattern analysis of Trihelix transcription factor family genes of ginseng].. PubMed. 49(14). 3758–3768. 1 indexed citations

Kan, Hong, Shuai Qu, Shihan Wang, et al.. (2023). Integrated Metabolome and Transcriptome Analysis Unveils the Underlying Molecular Response of Panax ginseng Plants to the Phytophthora cactorum Infection. Agriculture. 13(2). 509–509. 2 indexed citations

Wang, Ping, Yan Yan, Yingping Wang, et al.. (2023). Identification and analysis of BAHD superfamily related to malonyl ginsenoside biosynthesis in Panax ginseng. Frontiers in Plant Science. 14. 1301084–1301084. 1 indexed citations

Li, Ming‐Han, Shan Tang, Keke Li, et al.. (2023). Exploring the mechanism of active components from ginseng to manage diabetes mellitus based on network pharmacology and molecular docking. Scientific Reports. 13(1). 793–793. 18 indexed citations

10.

Di, Peng, Ping Wang, Min Yan, et al.. (2021). Genome-wide characterization and analysis of WRKY transcription factors in Panax ginseng. BMC Genomics. 22(1). 834–834. 36 indexed citations

11.

Su, Wenya, Ying Li, Chen Xuan, et al.. (2021). Ginsenoside Rh1 Improves Type 2 Diabetic Nephropathy through AMPK/PI3K/Akt-Mediated Inflammation and Apoptosis Signaling Pathway. The American Journal of Chinese Medicine. 49(5). 1215–1233. 45 indexed citations

12.

Hou, Wei, et al.. (2020). Effects of Ginseng on Neurological Disorders. Frontiers in Cellular Neuroscience. 14. 55–55. 36 indexed citations

13.

Zheng, Siwen, Shengyuan Xiao, Jia Wang, Wei Hou, & Yingping Wang. (2019). Inhibitory Effects of Ginsenoside Ro on the Growth of B16F10 Melanoma via Its Metabolites. Molecules. 24(16). 2985–2985. 41 indexed citations

14.

Zhang, Wei, Shaoyan Wang, Qian Li, et al.. (2016). Study of adsorption and preparation of ginsenoside Rg1 molecularly imprinted monolithic column. 43–51. 1 indexed citations

15.

Xu, Ping, Giovanni Widmer, Yingping Wang, et al.. (2004). The genome of Cryptosporidium hominis. Nature. 431(7012). 1107–1112. 414 indexed citations

16.

Lewis, Lisa A., Elizabeth H. Gray, Yingping Wang, Bruce A. Roe, & David W. Dyer. (1997). Molecular characterization of hpuAB, the haemoglobin–haptoglobin‐utilization operon of Neisseria meningitidis. Molecular Microbiology. 23(4). 737–749. 119 indexed citations

17.

Pan, Huaqin, Yingping Wang, Stephanie L. Chissoe, et al.. (1994). The complete nucleotide sequences of the SacBII Kan Domain of the P1 pAD10-SacBII cloning vector and three cosmid cloning vectors: pTCF, svPHEP, and LAWRIST16. Genetic Analysis Biomolecular Engineering. 11(5-6). 181–186. 27 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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