Yaping Wang

2.3k total citations
88 papers, 1.7k citations indexed

About

Yaping Wang is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yaping Wang has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 25 papers in Immunology and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yaping Wang's work include Aquaculture disease management and microbiota (7 papers), Immune Response and Inflammation (7 papers) and Immune Cell Function and Interaction (6 papers). Yaping Wang is often cited by papers focused on Aquaculture disease management and microbiota (7 papers), Immune Response and Inflammation (7 papers) and Immune Cell Function and Interaction (6 papers). Yaping Wang collaborates with scholars based in China, United States and United Kingdom. Yaping Wang's co-authors include Meixiang Xiang, Yao Xie, Zurong Fu, Sheng‐an Su, Shuijun Zhang, Qin Bi, Bin-Song Qiu, Liangliang Jia, Li Cao and Jifeng Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yaping Wang

82 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaping Wang China 21 763 375 300 300 207 88 1.7k
Toru Tanaka Japan 30 1.6k 2.0× 363 1.0× 280 0.9× 429 1.4× 207 1.0× 89 2.9k
Gualtiero I. Colombo Italy 27 970 1.3× 316 0.8× 158 0.5× 449 1.5× 232 1.1× 105 2.5k
Juntang Lin China 26 947 1.2× 379 1.0× 149 0.5× 283 0.9× 214 1.0× 130 1.9k
Yoo‐Wook Kwon South Korea 26 1.4k 1.8× 241 0.6× 270 0.9× 299 1.0× 361 1.7× 61 2.3k
Ji Hyun Park South Korea 25 795 1.0× 283 0.8× 111 0.4× 209 0.7× 233 1.1× 116 2.1k
Ashraf Al Madhoun Kuwait 30 1.0k 1.3× 145 0.4× 284 0.9× 201 0.7× 258 1.2× 94 2.2k
Michal A. Rahat Israel 28 579 0.8× 340 0.9× 147 0.5× 554 1.8× 237 1.1× 66 1.8k
Syed-Rehan A. Hussain United States 16 882 1.2× 512 1.4× 131 0.4× 217 0.7× 73 0.4× 27 1.4k
Blanca Camoretti-Mercado United States 28 1.1k 1.4× 324 0.9× 647 2.2× 544 1.8× 158 0.8× 49 2.2k
Emiliano Giardina Italy 27 905 1.2× 134 0.4× 206 0.7× 435 1.4× 101 0.5× 145 2.2k

Countries citing papers authored by Yaping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaping Wang. A scholar is included among the top collaborators of Yaping 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 Yaping Wang. Yaping 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.
Ye, Weidong, Mijuan Shi, Yingyin Cheng, et al.. (2025). Integrated single-cell transcriptome and comparative genome analysis reveals the origin of intermuscular bones in zebrafish. International Journal of Biological Macromolecules. 308(Pt 1). 142397–142397.
2.
Jin, Junyan, Ying Gao, Jiayi Liu, et al.. (2025). Diabetes and ALDH2 Gene Polymorphism on Post-Ablation Atrial Fibrillation Recurrence. JACC Asia. 6(3). 375–386.
3.
Liu, Jiayi & Yaping Wang. (2025). The Potential Role of Retinol-Binding Protein 4 in Heart Failure: A Review. Reviews in Cardiovascular Medicine. 26(9). 40127–40127.
4.
Fang, Sheng, Gao Yu, Yaping Wang, et al.. (2025). Antagonistic SnRK2 and PID kinases' action on auxin transport–mediated root gravitropism. Proceedings of the National Academy of Sciences. 122(39). e2512274122–e2512274122. 1 indexed citations
5.
Chen, Jing, Yaping Wang, Houzhong Zhang, et al.. (2025). State of charge estimation of series and parallel battery modules based on physical loss gate recurrent unit model and unscented Kalman filter. Journal of Power Sources. 661. 238642–238642.
6.
Zhou, Xiaoying, Yu Cao, Rui Shi, et al.. (2024). Identification of genetic loci for salt tolerance in Brassica napus at the germination stage using a genome-wide association study. Industrial Crops and Products. 221. 119319–119319. 2 indexed citations
7.
Wang, Yaping, Yi Qian, Dilin Xu, et al.. (2024). A novel mouse model of calcific aortic valve stenosis. SHILAP Revista de lepidopterología. 7(4). 523–532. 2 indexed citations
8.
Hua, Yuyan, Ying Gao, Yangzi Jiang, et al.. (2024). Thermosensitive Hydrogel with Programmable, Self‐Regulated HIF‐1α Stabilizer Release for Myocardial Infarction Treatment. Advanced Science. 11(43). e2408013–e2408013. 13 indexed citations
9.
10.
Xiao, Yunyun, et al.. (2024). A novel immune-related gene signature for diagnosis and potential immunotherapy of microsatellite stable endometrial carcinoma. Scientific Reports. 14(1). 3738–3738. 2 indexed citations
11.
Wang, Yaping, Zhe Wang, Pengyu Fan, et al.. (2022). The soldiers needed to be awakened: Tumor-infiltrating immune cells. Frontiers in Genetics. 13. 988703–988703. 6 indexed citations
12.
Yang, Dandan, et al.. (2021). Considering Psychosocial Factors When Investigating Blood Pressure in Patients with Short Sleep Duration: A Propensity Score Matched Analysis. International Journal of Hypertension. 2021. 1–8. 2 indexed citations
13.
Wang, Yaping, Xinlu Zhang, Hai Zhu, et al.. (2020). Higher T cell immunoglobulin mucin-3 (Tim-3) expression in cervical cancer is associated with a satisfactory prognosis. Translational Cancer Research. 9(4). 2801–2813. 5 indexed citations
14.
Wang, Yidong, Liangliang Jia, Yao Xie, et al.. (2019). Involvement of macrophage-derived exosomes in abdominal aortic aneurysms development. Atherosclerosis. 289. 64–72. 60 indexed citations
15.
Shi, Mijuan, et al.. (2012). CLONING AND CHARACTERIZATION OF (AG)-MICROSATELLITES IN GRASS CARP (CTENOPHARYNGODON IDELLUS). Acta Hydrobiologica Sinica. 36(1). 29–34. 2 indexed citations
16.
Dalal, Darshan, Jonas S.S.G. de Jong, Fleur V.Y. Tjong, et al.. (2011). Mild-to-moderate kidney dysfunction and the risk of sudden cardiac death in the setting of acute myocardial infarction. Heart Rhythm. 9(4). 540–545. 11 indexed citations
17.
Zhang, Rongfang, et al.. (2010). Screening and expression analyses of TLR3 from grass carp bacterial artificial chromosome (BAG) library.. Journal of Northwest A&F University. 38(6). 83–87. 1 indexed citations
18.
Su, Jianguo, Zuoyan Zhu, & Yaping Wang. (2008). UP-REGULATING EXPRESSIONS OF TOLL-LIKE RECEPTOR 3 AND MX GENES IN GILLS BY GRASS CARP REOVIRUS IN RAREM INNOW, GOB IOCYPRIS RARUS. Acta Hydrobiologica Sinica. 32(5). 728–734. 3 indexed citations
19.
Niu, Xiaolin, et al.. (2003). The study of genotyping of HLA-DRB1 by PCR-SSOP in Keshan disease in Shaanxi Province. 18(6). 327–328. 2 indexed citations
20.
Fang, Qin, et al.. (2003). Partial Characteristic Comparison Between Two Aquareovirus Isolates. Virologica Sinica. 18(5). 464–467. 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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