Yinyin Wang

4.2k total citations
121 papers, 2.9k citations indexed

About

Yinyin Wang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yinyin Wang has authored 121 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 24 papers in Oncology and 18 papers in Immunology. Recurrent topics in Yinyin Wang's work include Computational Drug Discovery Methods (10 papers), Microbial Natural Products and Biosynthesis (9 papers) and NF-κB Signaling Pathways (7 papers). Yinyin Wang is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Microbial Natural Products and Biosynthesis (9 papers) and NF-κB Signaling Pathways (7 papers). Yinyin Wang collaborates with scholars based in China, United States and Finland. Yinyin Wang's co-authors include Zhijie Chang, Fangli Ren, Danhui Ma, Yutian Zou, Jing Tang, Mohieddin Jafari, Baoqing Jia, Hua Zhang, Yanquan Zhang and Yonggong Zhai and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Yinyin Wang

113 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinyin Wang China 31 1.7k 507 426 298 265 121 2.9k
Ying Zhou China 30 2.0k 1.2× 357 0.7× 513 1.2× 395 1.3× 156 0.6× 128 3.8k
Dan Chen China 27 2.1k 1.2× 513 1.0× 313 0.7× 302 1.0× 180 0.7× 112 3.5k
Rozbeh Jafari Sweden 9 2.6k 1.5× 527 1.0× 267 0.6× 434 1.5× 223 0.8× 25 3.6k
Jifa Zhang China 27 1.6k 0.9× 448 0.9× 297 0.7× 143 0.5× 234 0.9× 98 2.6k
Yan Cao China 34 2.1k 1.2× 435 0.9× 624 1.5× 149 0.5× 250 0.9× 172 3.5k
Yong Xu China 39 2.9k 1.7× 729 1.4× 540 1.3× 387 1.3× 271 1.0× 171 5.1k
Antonio Pineda‐Lucena Spain 34 2.3k 1.3× 419 0.8× 429 1.0× 145 0.5× 225 0.8× 127 3.3k
Marina Ignatushchenko United States 9 1.9k 1.1× 440 0.9× 206 0.5× 304 1.0× 217 0.8× 10 2.9k
Petr Beneš Czechia 26 1.8k 1.0× 430 0.8× 350 0.8× 147 0.5× 144 0.5× 110 3.4k

Countries citing papers authored by Yinyin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yinyin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinyin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yinyin Wang. A scholar is included among the top collaborators of Yinyin 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 Yinyin Wang. Yinyin 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, Yinyin, et al.. (2024). From Motivation to Satisfaction: Unveiling the Mediating Role of Affective Experience in Online Art Education. The Asia-Pacific Education Researcher. 34(3). 1181–1196.
2.
Li, Mengdi, Chunhua He, Danhui Ma, et al.. (2024). An oncoprotein CREPT functions as a co-factor in MYC-driven transformation and tumor growth. Journal of Biological Chemistry. 301(1). 108030–108030. 1 indexed citations
3.
Chu, Jun, Yongtao Geng, Jun Li, et al.. (2023). Lachnochromonin, a fungal metabolite from Lachnum virgineum, inhibits cell growth and promotes apoptosis in tumor cells through JAK/STAT3 signaling. Cellular Signalling. 106. 110592–110592. 3 indexed citations
4.
Cao, Xudong, Taotao Li, Kai Ding, et al.. (2023). Endothelial TIE1 Restricts Angiogenic Sprouting to Coordinate Vein Assembly in Synergy With Its Homologue TIE2. Arteriosclerosis Thrombosis and Vascular Biology. 43(8). e323–e338. 4 indexed citations
5.
Fu, Yanxia, Jun Li, Ziyu Zhang, et al.. (2022). Umbilical cord mesenchymal stem cell‐derived exosomes alleviate collagen‐induced arthritis by balancing the population of Th17 and regulatory T cells. FEBS Letters. 596(20). 2668–2677. 23 indexed citations
6.
Ruz‐Caracuel, Ignacio, Victoria Heredia-Soto, Bulat Zagidullin, et al.. (2022). Prognosis Stratification Tools in Early-Stage Endometrial Cancer: Could We Improve Their Accuracy?. Cancers. 14(4). 912–912. 5 indexed citations
7.
Ren, Fangli, Yinyin Wang, Qingyu Meng, et al.. (2022). CREPT Disarms the Inhibitory Activity of HDAC1 on Oncogene Expression to Promote Tumorigenesis. Cancers. 14(19). 4797–4797. 4 indexed citations
8.
Wang, Yinyin, Jehad Aldahdooh, Hongbin Yang, et al.. (2022). DrugRepo: a novel approach to repurposing drugs based on chemical and genomic features. Scientific Reports. 12(1). 21116–21116. 18 indexed citations
9.
Wang, Yinyin, et al.. (2021). Network-based modeling of herb combinations in traditional Chinese medicine. Briefings in Bioinformatics. 22(5). 99 indexed citations
10.
Zheng, Shuyu, Jehad Aldahdooh, Tolou Shadbahr, et al.. (2021). DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal. Nucleic Acids Research. 49(W1). W174–W184. 65 indexed citations
11.
Tanoli, Ziaurrehman, Jehad Aldahdooh, Yinyin Wang, et al.. (2021). Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments. Briefings in Bioinformatics. 23(1). 8 indexed citations
12.
Ye, Xiongjun, Yinyin Wang, Ying Wang, et al.. (2021). CREPT/RPRD1B promotes tumorigenesis through STAT3-driven gene transcription in a p300-dependent manner. British Journal of Cancer. 124(8). 1437–1448. 14 indexed citations
13.
Yang, Yuwang, et al.. (2021). Aspect-Level Sentiment Analysis Based on Bidirectional-GRU in SIoT. IEEE Access. 9. 69938–69950. 26 indexed citations
14.
Liu, Yang, Haiyan Yang, Xuning Wang, et al.. (2021). CREPT is required for murine stem cell maintenance during intestinal regeneration. Nature Communications. 12(1). 270–270. 22 indexed citations
15.
Wang, Yinyin, Luyao Chen, Zhongming Zhao, et al.. (2021). Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence. Scientific Reports. 11(1). 23179–23179. 42 indexed citations
16.
Liu, Sihan, Yanxia Fu, Kunrong Mei, et al.. (2020). A shedding soluble form of interleukin-17 receptor D exacerbates collagen-induced arthritis through facilitating TNF-α-dependent receptor clustering. Cellular and Molecular Immunology. 18(8). 1883–1895. 8 indexed citations
17.
Zagidullin, Bulat, Jehad Aldahdooh, Shuyu Zheng, et al.. (2019). DrugComb: an integrative cancer drug combination data portal. Nucleic Acids Research. 47(W1). W43–W51. 157 indexed citations
18.
Ren, Fangli, Yongtao Geng, T. Minami, et al.. (2015). Nuclear termination of STAT3 signaling through SIPAR (STAT3‐Interacting Protein As a Repressor)‐dependent recruitment of T cell tyrosine phosphatase TC‐PTP. FEBS Letters. 589(15). 1890–1896. 15 indexed citations
19.
Shang, Yu, Xialian Xu, Xiaolin Duan, et al.. (2014). Hsp70 and Hsp90 oppositely regulate TGF-β signaling through CHIP/Stub1. Biochemical and Biophysical Research Communications. 446(1). 387–392. 42 indexed citations
20.
Wu, Yinyuan, Dianjun Wang, Xiaodong Wang, et al.. (2011). Caspase 3 is Activated through Caspase 8 instead of Caspase 9 during H<sub>2</sub>O<sub>2</sub>-induced Apoptosis in HeLa Cells. Cellular Physiology and Biochemistry. 27(5). 539–546. 51 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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