Yin Wang

10.0k total citations · 1 hit paper
247 papers, 5.8k citations indexed

About

Yin Wang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yin Wang has authored 247 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 54 papers in Cancer Research and 39 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yin Wang's work include Cancer-related molecular mechanisms research (20 papers), Hearing, Cochlea, Tinnitus, Genetics (18 papers) and Glioma Diagnosis and Treatment (17 papers). Yin Wang is often cited by papers focused on Cancer-related molecular mechanisms research (20 papers), Hearing, Cochlea, Tinnitus, Genetics (18 papers) and Glioma Diagnosis and Treatment (17 papers). Yin Wang collaborates with scholars based in China, United States and Hong Kong. Yin Wang's co-authors include Benny Hung‐Junn Chang, Farhad R. Danesh, Shawn S. Badal, Daniel L. Galvan, Bernard Ayanga, Jianyin Long, Liangfu Zhou, Paul A. Overbeek, Ho‐Keung Ng and Peifeng Li and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yin Wang

229 papers receiving 5.7k citations

Hit Papers

Treatment of autosomal dominant hearing loss by in vivo d... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yin Wang China 40 3.4k 1.4k 529 494 455 247 5.8k
Juan Wang China 41 3.2k 0.9× 1.4k 1.0× 574 1.1× 547 1.1× 997 2.2× 324 6.3k
Jianjie Ma United States 53 4.5k 1.3× 617 0.5× 568 1.1× 650 1.3× 698 1.5× 209 8.8k
Caroline Bouzin Belgium 43 2.5k 0.7× 1.2k 0.9× 636 1.2× 757 1.5× 506 1.1× 174 5.6k
Hui Dong China 42 2.3k 0.7× 1.0k 0.8× 876 1.7× 626 1.3× 405 0.9× 225 5.6k
Min Liu China 34 2.6k 0.8× 1.2k 0.9× 519 1.0× 219 0.4× 237 0.5× 137 4.5k
Cheng Yang China 42 2.7k 0.8× 475 0.4× 614 1.2× 389 0.8× 841 1.8× 222 5.6k
Takayuki Maruyama Japan 41 2.3k 0.7× 745 0.6× 732 1.4× 323 0.7× 533 1.2× 171 6.4k
Song Li China 36 2.4k 0.7× 1.0k 0.8× 957 1.8× 369 0.7× 511 1.1× 177 5.2k
Yuhong Chen China 44 3.2k 0.9× 1.2k 0.9× 989 1.9× 643 1.3× 1.7k 3.6× 264 7.0k
Xiaobo Wang China 39 3.3k 1.0× 600 0.4× 408 0.8× 407 0.8× 531 1.2× 170 7.7k

Countries citing papers authored by Yin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yin Wang. A scholar is included among the top collaborators of Yin 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 Yin Wang. Yin 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.
Xie, Yuanxin, Yafang Zhang, Yuanyuan Wang, et al.. (2025). TASL-Net: Tri-attention selective learning network for intelligent diagnosis of bimodal ultrasound video. Expert Systems with Applications. 290. 128355–128355.
2.
Wang, Yin, Ying Zheng, Tiantian Wang, et al.. (2025). Structure-based engineering of the midnolin-proteasome pathway for targeted protein degradation. Protein & Cell. 17(1). 83–88. 2 indexed citations
4.
Li, Shengfeng, et al.. (2023). 核心稳定性训练对散打运动员鞭腿连击能力的影响. 5(3). 1 indexed citations
5.
Wang, Yin, Qi Feng, Shuwen Wang, et al.. (2023). Plasma long noncoding RNAs lncDC and THRIL as potential diagnostic markers of adult primary immune thrombocytopenia. International Journal of Laboratory Hematology. 45(4). 481–488. 1 indexed citations
6.
Feng, Ming, Tingting Qiao, Haidong Cai, et al.. (2022). Deep Learning for the Automatic Diagnosis and Analysis of Bone Metastasis on Bone Scintigrams. SHILAP Revista de lepidopterología. 28 indexed citations
7.
Lu, Biao, Zhengzhong Luo, Jieru Zhang, et al.. (2022). Molecular typing and prevalence of antibiotic resistance and virulence genes in Streptococcus agalactiae isolated from Chinese dairy cows with clinical mastitis. PLoS ONE. 17(5). e0268262–e0268262. 19 indexed citations
8.
Liu, Zigang, Xiaoyun Dong, Xiaodong Cao, et al.. (2022). QTL mapping for cold tolerance and higher overwintering survival rate in winter rapeseed (Brassica napus). Journal of Plant Physiology. 275. 153735–153735. 2 indexed citations
9.
Huang, Xiaohu, et al.. (2021). Dual Targeting Oncoproteins MYC and HIF1α Regresses Tumor Growth of Lung Cancer and Lymphoma. Cancers. 13(4). 694–694. 11 indexed citations
10.
Zhu, Jun‐yi, Xiaohu Huang, Yulong Fu, et al.. (2021). Pharmacological or genetic inhibition of hypoxia signaling attenuates oncogenic RAS-induced cancer phenotypes. Disease Models & Mechanisms. 15(2). 4 indexed citations
11.
Sun, Wenwen, et al.. (2021). Diagnostic yield of Xpert MTB/RIF on contrast-enhanced ultrasound-guided pleural biopsy specimens for pleural tuberculosis. International Journal of Infectious Diseases. 108. 89–95. 13 indexed citations
12.
Liu, Xing, Ting‐Ting Li, Yin Wang, et al.. (2020). Mechanical properties of a STF capsule filled flexible polyurethane composite foam. Materials Letters. 269. 127580–127580. 20 indexed citations
13.
Zhang, Bo, Sacha Escamez, Ruben Vanholme, et al.. (2019). PIRIN2 suppresses S‐type lignin accumulation in a noncell‐autonomous manner in Arabidopsis xylem elements. New Phytologist. 225(5). 1923–1935. 17 indexed citations
14.
Tang, Chao, Jun Guo, Hong Chen, et al.. (2015). Gene mutation profiling of primary glioblastoma through multiple tumor biopsy guided by 1H-magnetic resonance spectroscopy.. PubMed Central. 8(5). 5327–35. 27 indexed citations
15.
Lin, Jie, Chongbo Zhao, Jiahong Lu, et al.. (2013). Novel mutations m.3959G>A and m.3995A>G in mitochondrial geneMT-ND1associated with MELAS. Mitochondrial DNA. 25(1). 56–62. 16 indexed citations
16.
Wang, Yin, Kristen S. Hill, & Alan P. Fields. (2013). PKCι Maintains a Tumor-initiating Cell Phenotype That Is Required for Ovarian Tumorigenesis. Molecular Cancer Research. 11(12). 1624–1635. 60 indexed citations
17.
Wang, Yanrong, Qing Chang, Jing Sun, et al.. (2012). Effects of HMG on revascularization and follicular survival in heterotopic autotransplants of mouse ovarian tissue. Reproductive BioMedicine Online. 24(6). 646–653. 39 indexed citations
18.
Liu, Yan, et al.. (2006). Dimerization of Laforin Is Required for Its Optimal Phosphatase Activity, Regulation of GSK3β Phosphorylation, and Wnt Signaling. Journal of Biological Chemistry. 281(46). 34768–34774. 41 indexed citations
19.
Yan, Jun, Yanlin Yu, Nan Wang, et al.. (2004). LFIRE-1/HFREP-1, a liver-specific gene, is frequently downregulated and has growth suppressor activity in hepatocellular carcinoma. Oncogene. 23(10). 1939–1949. 52 indexed citations
20.
Wang, Yin. (2003). Effects of Acupoint-injection of Huangqi and Danggui Injectio on Gastric Mucosal Blood Flow in Chronic Atrophic Gastritis Rats. Acupuncture Research. 1 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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