Yue J. Wang

4.9k total citations · 2 hit papers
80 papers, 3.2k citations indexed

About

Yue J. Wang is a scholar working on Molecular Biology, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yue J. Wang has authored 80 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 28 papers in Surgery and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yue J. Wang's work include Pancreatic function and diabetes (24 papers), Medical Image Segmentation Techniques (15 papers) and Diabetes and associated disorders (12 papers). Yue J. Wang is often cited by papers focused on Pancreatic function and diabetes (24 papers), Medical Image Segmentation Techniques (15 papers) and Diabetes and associated disorders (12 papers). Yue J. Wang collaborates with scholars based in United States, China and Israel. Yue J. Wang's co-authors include Klaus H. Kaestner, Sally Temple, Qin Shen, Erzsebet Kokovay, Badrinath Roysam, Shu-Mien Chuang, Susan K. Goderie, Gang Lin, Ali Naji and Kirk J. Wangensteen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Yue J. Wang

74 papers receiving 3.1k citations

Hit Papers

Adult SVZ Stem Cells Lie in a Vascular Niche: A Quantitat... 2008 2026 2014 2020 2008 2018 250 500 750

Peers

Yue J. Wang
Rea Ravin United States
Maike Sander United States
Thomas Hiesberger United States
Darrin P. Smith United Kingdom
Rea Ravin United States
Yue J. Wang
Citations per year, relative to Yue J. Wang Yue J. Wang (= 1×) peers Rea Ravin

Countries citing papers authored by Yue J. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yue J. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue J. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yue J. Wang. A scholar is included among the top collaborators of Yue J. 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 Yue J. Wang. Yue J. 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.
Agoro, Rafiou, Jered Myslinski, Danielle Janosevic, et al.. (2025). Dynamic single cell transcriptomics defines kidney FGF23/KL bioactivity and novel segment-specific inflammatory targets. Kidney International. 107(4). 687–699. 1 indexed citations
2.
Hu, Xue, Guo Li, Gengqiang Xie, et al.. (2025). Molecular Mechanisms of Human Pancreatic Islet Dysfunction Under Overnutrition Metabolic Stress. Diabetes. 74(10). 1825–1838. 1 indexed citations
3.
Xie, Gengqiang, Liting Zhang, Megan L. Kavanaugh, et al.. (2024). Phenotypic, Genomic, and Transcriptomic Heterogeneity in a Pancreatic Cancer Cell Line. Pancreas. 53(9). e748–e759.
4.
Mongia, Aanchal, Yeqiao Zhou, Diane C. Saunders, et al.. (2024). AnnoSpat annotates cell types and quantifies cellular arrangements from spatial proteomics. Nature Communications. 15(1). 3744–3744. 2 indexed citations
5.
Sayed, Mohammed, Yue J. Wang, & Hee‐Woong Lim. (2024). Systematic benchmark of single-cell hashtag demultiplexing approaches reveals robust performance of a clustering-based method. Briefings in Functional Genomics. 24. 2 indexed citations
6.
Liu, Rongjie, et al.. (2023). Deep zero-inflated negative binomial model and its application in scRNA-seq data integration. 25. 901–905. 1 indexed citations
7.
Wang, Yue J., et al.. (2022). Increasing insulin measurement throughput by fluorescence anisotropy imaging immunoassays. Analytica Chimica Acta. 1212. 339942–339942. 14 indexed citations
8.
Xie, Gengqiang, Chengyang Liu, Wei Wang, et al.. (2021). Gene Signatures of NEUROGENIN3+ Endocrine Progenitor Cells in the Human Pancreas. Frontiers in Endocrinology. 12. 736286–736286. 8 indexed citations
9.
Avrahami, Dana, Yue J. Wang, Jonathan Schug, et al.. (2020). Single-cell transcriptomics of human islet ontogeny defines the molecular basis of β-cell dedifferentiation in T2D. Molecular Metabolism. 42. 101057–101057. 58 indexed citations
10.
Zahm, Adam M., Amber W. Wang, Yue J. Wang, et al.. (2019). A High-Content Screen Identifies MicroRNAs That Regulate Liver Repopulation After Injury in Mice. Gastroenterology. 158(4). 1044–1057.e17. 11 indexed citations
11.
Wang, Amber W., Kirk J. Wangensteen, Yue J. Wang, et al.. (2018). TRAP-seq identifies cystine/glutamate antiporter as a driver of recovery from liver injury. Journal of Clinical Investigation. 128(6). 2297–2309. 22 indexed citations
12.
Ou, Kristy, Ming Yu, Nicholas Moss, et al.. (2018). Targeted demethylation at the CDKN1C/p57 locus induces human β cell replication. Journal of Clinical Investigation. 129(1). 209–214. 48 indexed citations
13.
Kameswaran, Vasumathi, Maria L. Golson, Mireia Ramos-Rodríguez, et al.. (2018). The Dysregulation of the DLK1-MEG3 Locus in Islets From Patients With Type 2 Diabetes Is Mimicked by Targeted Epimutation of Its Promoter With TALE-DNMT Constructs. Diabetes. 67(9). 1807–1815. 35 indexed citations
14.
Shoshkes-Carmel, Michal, Yue J. Wang, Kirk J. Wangensteen, et al.. (2018). Subepithelial telocytes are an important source of Wnts that supports intestinal crypts. Nature. 557(7704). 242–246. 366 indexed citations breakdown →
15.
Avrahami, Dana, Yue J. Wang, Agnes Klochendler, et al.. (2017). β‐Cells are not uniform after all—Novel insights into molecular heterogeneity of insulin‐secreting cells. Diabetes Obesity and Metabolism. 19(S1). 147–152. 21 indexed citations
16.
Wangensteen, Kirk J., Yue J. Wang, Zhixun Dou, et al.. (2017). Combinatorial genetics in liver repopulation and carcinogenesis with a in vivo CRISPR activation platform†. Hepatology. 68(2). 663–676. 61 indexed citations
17.
Hendley, Audrey M., Yue J. Wang, Kishore Polireddy, et al.. (2016). p120 Catenin Suppresses Basal Epithelial Cell Extrusion in Invasive Pancreatic Neoplasia. Cancer Research. 76(11). 3351–3363. 29 indexed citations
18.
Johnson, Nicole, Shu Liu, Mathieu Lévesque, et al.. (2014). Differential in vivo tumorigenicity of diverse KRAS mutations in vertebrate pancreas: A comprehensive survey. Oncogene. 34(21). 2801–2806. 31 indexed citations
19.
Kokovay, Erzsebet, et al.. (2012). VCAM1 Is Essential to Maintain the Structure of the SVZ Niche and Acts as an Environmental Sensor to Regulate SVZ Lineage Progression. Cell stem cell. 11(2). 220–230. 161 indexed citations
20.
Shen, Qin, Yue J. Wang, Erzsebet Kokovay, et al.. (2008). Adult SVZ Stem Cells Lie in a Vascular Niche: A Quantitative Analysis of Niche Cell-Cell Interactions. Cell stem cell. 3(3). 289–300. 801 indexed citations breakdown →

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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