Yong Wang

6.9k total citations · 1 hit paper
232 papers, 4.3k citations indexed

About

Yong Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Yong Wang has authored 232 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Molecular Biology, 44 papers in Pulmonary and Respiratory Medicine and 34 papers in Genetics. Recurrent topics in Yong Wang's work include Bioinformatics and Genomic Networks (34 papers), Genomics and Chromatin Dynamics (18 papers) and Gene expression and cancer classification (17 papers). Yong Wang is often cited by papers focused on Bioinformatics and Genomic Networks (34 papers), Genomics and Chromatin Dynamics (18 papers) and Gene expression and cancer classification (17 papers). Yong Wang collaborates with scholars based in China, United States and Japan. Yong Wang's co-authors include Luonan Chen, Xiang‐Sun Zhang, Ling‐Yun Wu, Zhana Duren, Wing Hung Wong, Rui Jiang, Carla Braitenberg, Susann Wienecke, Zhi‐Ping Liu and Xi Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Yong Wang

215 papers receiving 4.3k citations

Hit Papers

UDP-glucosyltransferase r... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Wang China 35 2.4k 482 418 380 351 232 4.3k
Ting Chen China 43 3.0k 1.2× 334 0.7× 423 1.0× 411 1.1× 162 0.5× 374 7.1k
Luciano Milanesi Italy 36 3.0k 1.2× 511 1.1× 449 1.1× 201 0.5× 295 0.8× 243 4.9k
Zhiqiang Li China 38 2.6k 1.0× 794 1.6× 638 1.5× 248 0.7× 299 0.9× 374 6.2k
Bo Li China 33 2.3k 1.0× 266 0.6× 414 1.0× 210 0.6× 280 0.8× 198 4.3k
Mikio Tanabe Japan 16 3.4k 1.4× 534 1.1× 385 0.9× 160 0.4× 504 1.4× 44 5.1k
Rui‐Sheng Wang United States 36 2.9k 1.2× 362 0.8× 361 0.9× 272 0.7× 426 1.2× 141 5.2k
Michael Shmoish Israel 20 2.0k 0.8× 495 1.0× 470 1.1× 160 0.4× 307 0.9× 41 3.3k
Min Chen China 37 2.5k 1.0× 352 0.7× 488 1.2× 413 1.1× 201 0.6× 227 5.0k
Youping Deng United States 46 3.8k 1.5× 521 1.1× 1.1k 2.6× 352 0.9× 446 1.3× 245 6.7k
Bairong Shen China 40 3.7k 1.5× 467 1.0× 1.4k 3.3× 490 1.3× 270 0.8× 316 6.1k

Countries citing papers authored by Yong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Wang. A scholar is included among the top collaborators of Yong 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 Yong Wang. Yong 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.
2.
Liu, Xiangning, Rongxin Zhu, Ying Sun, et al.. (2025). Phenotypic screening uncovered anti-myocardial fibrosis candidates using a novel 3D myocardial tissue under hypoxia. Acta Pharmaceutica Sinica B. 15(6). 3008–3024. 1 indexed citations
3.
Liu, Dan, Zhongming Liang, Rui Liu, et al.. (2025). A pretrained transformer model for decoding individual glucose dynamics from continuous glucose monitoring data. National Science Review. 12(5). nwaf039–nwaf039. 6 indexed citations
5.
Hu, Hong‐Ming, Dongdong Zhang, Pengchao Hu, et al.. (2024). CAR-NK cells in combination therapy against cancer: A potential paradigm. Heliyon. 10(5). e27196–e27196. 21 indexed citations
6.
Wang, Chengbing, Gang Li, Yong Wang, et al.. (2023). Natural wood-derived all-carbon-conductive foam for sustainable all-weather monolithic photo-electrothermal interfacial water evaporation. Materials Today Nano. 23. 100352–100352. 37 indexed citations
7.
Ma, Yuan, et al.. (2023). Investigating High-risk Factors, Precise Diagnosis, and Treatment of Castration- Resistant Prostate Cancer (CRPC). Combinatorial Chemistry & High Throughput Screening. 27(17). 2598–2608. 3 indexed citations
8.
Zhang, Jingcheng, Xinmei Li, Zhipei Wu, et al.. (2023). Chromatin accessibility memory of donor cells disrupts bovine somatic cell nuclear transfer blastocysts development. The FASEB Journal. 37(9). e23111–e23111. 4 indexed citations
9.
Song, Zhengshuai, Qi Cao, Bin Guo, et al.. (2023). Overexpression of RACGAP1 by E2F1 Promotes Neuroendocrine Differentiation of Prostate Cancer by Stabilizing EZH2 Expression. Aging and Disease. 14(5). 1757–1757. 22 indexed citations
10.
Zhu, Shimiao, Zheng Zhang, Hui Zhang, et al.. (2022). DNA‐repair status should be assessed in treatment‐emergent neuroendocrine prostate cancer before platinum‐based therapy. The Prostate. 82(4). 464–474. 3 indexed citations
11.
Duren, Zhana, Jingxue Xin, Qiuyue Yuan, et al.. (2022). Heritability enrichment in context-specific regulatory networks improves phenotype-relevant tissue identification. eLife. 11. 4 indexed citations
12.
Xin, Jingxue, Hui Zhang, Yaoxi He, et al.. (2020). Chromatin accessibility landscape and regulatory network of high-altitude hypoxia adaptation. Nature Communications. 11(1). 4928–4928. 52 indexed citations
13.
Zeng, Wanwen, Yong Wang, & Rui Jiang. (2019). Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network. Bioinformatics. 36(2). 496–503. 34 indexed citations
14.
Wang, Yong, et al.. (2018). Identification and Phylogenetic Analysis of Basic Helix-Loop-Helix Genes in the Diamondback Moth. Journal of Insect Science. 18(3). 5 indexed citations
15.
Duren, Zhana, Xi Chen, Rui Jiang, Yong Wang, & Wing Hung Wong. (2017). Modeling gene regulation from paired expression and chromatin accessibility data. Proceedings of the National Academy of Sciences. 114(25). E4914–E4923. 131 indexed citations
16.
Zhang, Debao, Guanying Li, & Yong Wang. (2017). A genome-wide identification and analysis of basic helix-loop-helix transcription factors in cattle. Gene. 626. 241–250. 4 indexed citations
17.
Zhang, Shulong, Yong Wang, Mingxi Wang, & Zhenling Ji. (2014). IL-27 −964A>G polymorphism and the risk of breast cancer: a case–control study. Tumor Biology. 35(12). 12099–12102. 11 indexed citations
18.
Xiong, Xianrong, Daoliang Lan, Jian Li, et al.. (2014). Cellular Extract Facilitates Nuclear Reprogramming by Altering DNA Methylation and Pluripotency Gene Expression. Cellular Reprogramming. 16(3). 215–222. 6 indexed citations
19.
Liu, Xia, et al.. (2011). Quantitative trait locus (QTL) analysis of percentage grains chalkiness using AFLP in rice (Oryza sativa L.). AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(13). 2399–2405. 5 indexed citations
20.
Wang, Yong. (2004). A Preliminary Comparison of Magnetic Properties of Sediments from the Changjiang and the Huanghe Estuaries. Chenji xuebao. 10 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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