Yongyan Wang

3.8k total citations · 1 hit paper
157 papers, 2.4k citations indexed

About

Yongyan Wang is a scholar working on Complementary and alternative medicine, Molecular Biology and Neurology. According to data from OpenAlex, Yongyan Wang has authored 157 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Complementary and alternative medicine, 33 papers in Molecular Biology and 28 papers in Neurology. Recurrent topics in Yongyan Wang's work include Traditional Chinese Medicine Studies (35 papers), Neurological Disease Mechanisms and Treatments (24 papers) and Traditional Chinese Medicine Analysis (13 papers). Yongyan Wang is often cited by papers focused on Traditional Chinese Medicine Studies (35 papers), Neurological Disease Mechanisms and Treatments (24 papers) and Traditional Chinese Medicine Analysis (13 papers). Yongyan Wang collaborates with scholars based in China, United States and United Kingdom. Yongyan Wang's co-authors include Zhanjun Zhang, Jing Shi, Mingqing Wei, Jinzhou Tian, Yiyu Cheng, Ni Shu, Runming Jin, Liwei Gao, Zhengde Xie and Baoping Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.

In The Last Decade

Yongyan Wang

144 papers receiving 2.4k citations

Hit Papers

Diagnosis, treatment, and prevention of 2019 novel corona... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongyan Wang China 24 597 399 338 304 265 157 2.4k
Zhanjun Zhang China 28 457 0.8× 213 0.5× 324 1.0× 497 1.6× 443 1.7× 120 2.5k
Yao‐Hsu Yang Taiwan 30 552 0.9× 208 0.5× 362 1.1× 324 1.1× 112 0.4× 234 3.5k
Philippe Lechat France 42 806 1.4× 206 0.5× 406 1.2× 351 1.2× 309 1.2× 168 7.3k
Roberto Raschetti Italy 27 277 0.5× 469 1.2× 84 0.2× 270 0.9× 93 0.4× 90 2.9k
Henry Johannes Greten Germany 31 956 1.6× 644 1.6× 96 0.3× 107 0.4× 86 0.3× 112 3.0k
Dugald Seely Canada 34 559 0.9× 1.1k 2.8× 66 0.2× 174 0.6× 166 0.6× 86 4.1k
Nikolaοs Tentolouris Greece 44 1.0k 1.8× 209 0.5× 309 0.9× 126 0.4× 65 0.2× 322 7.8k
Ke Wang China 26 432 0.7× 389 1.0× 85 0.3× 63 0.2× 159 0.6× 163 2.2k
Bin Jiang China 31 600 1.0× 140 0.4× 77 0.2× 182 0.6× 47 0.2× 145 4.5k
Graziamaria Corbi Italy 38 969 1.6× 227 0.6× 234 0.7× 110 0.4× 47 0.2× 147 3.8k

Countries citing papers authored by Yongyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yongyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongyan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongyan Wang. A scholar is included among the top collaborators of Yongyan 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 Yongyan Wang. Yongyan 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.
Liao, Xing, et al.. (2023). Shaoma Zhijing granule for children with tic disorders: A rapid health technology assessment. Journal of Traditional Chinese Medical Sciences. 10(2). 133–140.
2.
Ma, Yan, Nannan Shi, Lin Tong, et al.. (2022). Effect of Qingfei Paidu decoction combined with Western medicine treatments for COVID-19: A systematic review and meta-analysis. Phytomedicine. 102. 154166–154166. 14 indexed citations
3.
Hu, Ruixue, et al.. (2022). A scientometric and visualization analysis of studies on arsenic for acute promyelocytic leukemia. European Journal of Integrative Medicine. 54. 102162–102162. 1 indexed citations
4.
Li, Siyu, Yixuan Li, Yanan Li, et al.. (2022). A novel therapeutic approach for IPF: Based on the “Autophagy - Apoptosis” balance regulation of Zukamu Granules in alveolar macrophages. Journal of Ethnopharmacology. 297. 115568–115568. 9 indexed citations
5.
Liao, Xing, Yan‐Ming Xie, Demin Li, et al.. (2017). [Methodological quality assessment of community-acquired pneumonia clinical practice guidelines in China based on AGREE Ⅱ tool].. PubMed. 42(11). 2175–2180. 1 indexed citations
6.
Wei, Dongfeng, Chen‐Long Lv, Junying Zhang, et al.. (2015). The therapeutic effect of Xueshuan Xinmai tablets on memory injury and brain activity in post-stroke patients: a pilot placebo controlled fMRI study.. Europe PMC (PubMed Central). 8(5). 7507–16. 2 indexed citations
7.
Wang, Yongyan. (2012). On relativity of concept of natural pharmacy. Journal of Beijing University of Traditional Chinese Medicine. 1 indexed citations
8.
Shu, Ni, Ying Liang, He Li, et al.. (2012). Disrupted Topological Organization in White Matter Structural Networks in Amnestic Mild Cognitive Impairment: Relationship to Subtype. Radiology. 265(2). 518–527. 99 indexed citations
9.
Wang, Yongyan. (2011). Research on correlation between cold and heat nature of Chinese medicinal and environmental ecology. Journal of Beijing University of Traditional Chinese Medicine. 1 indexed citations
10.
Wang, Yongyan. (2011). Relationship between innateness and constitution. Journal of Beijing University of Traditional Chinese Medicine.
11.
Wang, Yongyan. (2009). Rehabilitation Scheme of Traditional Chinese Medicine for Early Ischemic Stroke. 1 indexed citations
12.
Wang, Yongyan. (2008). Outcome and relevant treatment of stroke after treating with therapy of removing phlegm to relax bowels. Journal of Beijing University of Traditional Chinese Medicine. 1 indexed citations
13.
Wang, Yongyan. (2008). Study on non-linear modeling of TCM syndrome of DN based on developed BP neural network model. Journal of Beijing University of Traditional Chinese Medicine. 2 indexed citations
14.
Wang, Yongyan. (2008). Clinical study on treating senile dementia with chinese herb powder with effect of restoring consciousness. Tianjin Journal of Traditional Chinese Medicine.
15.
Wang, Yongyan. (2008). Emphasizing the inheritance and development of TCM in Conceptual Age. Zhonghua zhongyiyao xuekan. 1 indexed citations
16.
Wang, Yongyan. (2008). Review of Secondary Prevention with Traditional Chinese Medicine against Ischemic Stroke. Lishizhen Medicine and Materia Medica Research. 1 indexed citations
17.
Chen, Shilin, et al.. (2007). Study on Genetic Diversity and Differentiation of Gardenia jasminoides Ellis Using RAPD Markers. Zhōnghuá yàoxué zázhì. 1774–1778. 5 indexed citations
18.
Xie, Liyang, et al.. (2005). Load-Strength Order Statistics Interference Models for System Reliability Evaluation. International Journal of Performability Engineering. 1(1). 23. 17 indexed citations
19.
Wang, Yongyan. (2004). Study Thoughts on Complex Phenomena in Syndrome of Chinese Medicine. 1 indexed citations
20.
Gao, Xiumei, et al.. (2003). Annotation of Mechanism on Biao with Ben for Compound Danshen Formula. Zhongguo zhongyi jichu yixue zazhi. 9(9). 43–44. 2 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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