G. Wayne Zhou

2.0k total citations
38 papers, 1.6k citations indexed

About

G. Wayne Zhou is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, G. Wayne Zhou has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in G. Wayne Zhou's work include Protein Tyrosine Phosphatases (14 papers), Galectins and Cancer Biology (11 papers) and Glycosylation and Glycoproteins Research (4 papers). G. Wayne Zhou is often cited by papers focused on Protein Tyrosine Phosphatases (14 papers), Galectins and Cancer Biology (11 papers) and Glycosylation and Glycoproteins Research (4 papers). G. Wayne Zhou collaborates with scholars based in United States, China and Portugal. G. Wayne Zhou's co-authors include Xi Song, Zhizhuang Joe Zhao, Xiaoshan Liang, Yong Zhan, Jian Yang, John M. Denu, Joseph V. Virbasius, Tianqi Niu, Lijun Liu and Dandan He and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

G. Wayne Zhou

36 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Wayne Zhou United States 19 1.2k 511 211 210 159 38 1.6k
Usha N. Kasid United States 29 1.6k 1.4× 374 0.7× 643 3.0× 170 0.8× 164 1.0× 63 2.3k
Vegesna Radha India 25 1.1k 0.9× 274 0.5× 212 1.0× 260 1.2× 86 0.5× 58 1.5k
Keiko Miyazaki Japan 10 1.1k 0.9× 512 1.0× 264 1.3× 159 0.8× 200 1.3× 15 1.4k
Brian A. Joughin United States 23 1.2k 1.0× 242 0.5× 357 1.7× 267 1.3× 57 0.4× 40 1.7k
Andreas P. Frei Switzerland 16 942 0.8× 261 0.5× 159 0.8× 131 0.6× 99 0.6× 23 1.4k
Valeriy Filonenko Ukraine 26 1.7k 1.4× 244 0.5× 273 1.3× 183 0.9× 180 1.1× 143 2.1k
Vanessa C. Gray‐Schopfer United Kingdom 7 1.3k 1.1× 396 0.8× 733 3.5× 293 1.4× 80 0.5× 8 1.9k
Jingyi Yu China 11 1.2k 1.0× 203 0.4× 330 1.6× 148 0.7× 149 0.9× 22 1.8k
Philipp F. Lange Canada 20 1.2k 1.0× 152 0.3× 545 2.6× 219 1.0× 101 0.6× 46 1.9k
Nicholas A. Graham United States 21 1.1k 0.9× 266 0.5× 433 2.1× 134 0.6× 42 0.3× 40 1.8k

Countries citing papers authored by G. Wayne Zhou

Since Specialization
Citations

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

Fields of papers citing papers by G. Wayne Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Wayne Zhou. 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 G. Wayne Zhou. The network helps show where G. Wayne Zhou may publish in the future.

Co-authorship network of co-authors of G. Wayne Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of G. Wayne Zhou. A scholar is included among the top collaborators of G. Wayne Zhou 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 G. Wayne Zhou. G. Wayne Zhou 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
2.
Song, Bo, Zhenxing Shen, G. Wayne Zhou, et al.. (2025). High-value utilization of volcanic rock as NH3-SCR denitration catalyst loaded with Mn: denitration effect and mechanism. Environmental Research. 285(Pt 2). 122417–122417.
3.
Zhou, G. Wayne, et al.. (2024). Using a Machine Learning Approach to Predict the Need for Elective Revision and Unplanned Surgery after Implant-based Breast Reconstruction. Plastic & Reconstructive Surgery Global Open. 12(3). e5542–e5542. 2 indexed citations
4.
Zhou, G. Wayne, et al.. (2024). Identifying pediatric heart murmurs and distinguishing innocent from pathologic using deep learning. Artificial Intelligence in Medicine. 153. 102867–102867. 3 indexed citations
5.
Zhou, G. Wayne, et al.. (2023). Machine-Learning Prediction of Capsular Contraction after Two-Stage Breast Reconstruction. JPRAS Open. 38. 1–13. 6 indexed citations
6.
Zhou, G. Wayne, Michelle Chen, Alan Wang, et al.. (2023). Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis. npj Digital Medicine. 6(1). 163–163. 10 indexed citations
7.
Zhou, G. Wayne, et al.. (2022). On the analysis of data augmentation methods for spectral imaged based heart sound classification using convolutional neural networks. BMC Medical Informatics and Decision Making. 22(1). 226–226. 23 indexed citations
8.
Song, Xi, et al.. (2007). Protein Expression Profiling of Breast Cancer Cells by Dissociable Antibody Microarray (DAMA) Staining. Molecular & Cellular Proteomics. 7(1). 163–169. 34 indexed citations
9.
He, Dandan, Xi Song, Lijun Liu, David H. Burk, & G. Wayne Zhou. (2004). EGF‐stimulation activates the nuclear localization signal of SHP‐1. Journal of Cellular Biochemistry. 94(5). 944–953. 10 indexed citations
10.
Zhan, Yong, Dandan He, Peter E. Newburger, & G. Wayne Zhou. (2004). p47phox PX domain of NADPH oxidase targets cell membrane via moesin‐mediated association with the actin cytoskeleton. Journal of Cellular Biochemistry. 92(4). 795–809. 34 indexed citations
11.
Wu, Cheng‐Yu, et al.. (2003). SHP‐1 suppresses cancer cell growth by promoting degradation of JAK kinases. Journal of Cellular Biochemistry. 90(5). 1026–1037. 77 indexed citations
12.
Mishra, Ashwini Kumar, Aihua Zhang, Tianqi Niu, et al.. (2002). Substrate specificity of protein tyrosine phosphatase: Differential behavior of SHP‐1 and SHP‐2 towards signal regulation protein SIRPα1. Journal of Cellular Biochemistry. 84(4). 840–846. 11 indexed citations
13.
Zhan, Yong, Joseph V. Virbasius, Xi Song, Darcy P. Pomerleau, & G. Wayne Zhou. (2002). The p40 and p47 PX Domains of NADPH Oxidase Target Cell Membranes via Direct and Indirect Recruitment by Phosphoinositides. Journal of Biological Chemistry. 277(6). 4512–4518. 93 indexed citations
14.
Zhan, Yong, Xi Song, & G. Wayne Zhou. (2001). Structural analysis of regulatory protein domains using GST-fusion proteins. Gene. 281(1-2). 1–9. 45 indexed citations
15.
Yang, Jian, Zhiliang Cheng, Tianqi Niu, et al.. (2001). Protein tyrosine phosphatase SHP‐1 specifically recognizes C‐terminal residues of its substrates via helix α0. Journal of Cellular Biochemistry. 83(1). 14–20. 5 indexed citations
16.
Yang, Jian, Zhiliang Cheng, Tianqi Niu, et al.. (2000). Structural Basis for Substrate Specificity of Protein-tyrosine Phosphatase SHP-1. Journal of Biological Chemistry. 275(6). 4066–4071. 67 indexed citations
17.
Tang, Lei, Bo Guo, Amjad Javed, et al.. (1999). Crystal Structure of the Nuclear Matrix Targeting Signal of the Transcription Factor Acute Myelogenous Leukemia-1/Polyoma Enhancer-binding Protein 2αB/Core Binding Factor α2. Journal of Biological Chemistry. 274(47). 33580–33586. 68 indexed citations
18.
Niu, Tianqi, Xiaoshan Liang, Jian Yang, Zhizhuang Joe Zhao, & G. Wayne Zhou. (1999). Kinetic comparison of the catalytic domains of SHP-1 and SHP-2. Journal of Cellular Biochemistry. 72(1). 145–150. 11 indexed citations
19.
Liang, Xiaoshan, Wuyi Meng, Tianqi Niu, Z Zhao, & G. Wayne Zhou. (1997). Expression, Purification, and Crystallization of the Catalytic Domain of Protein Tyrosine Phosphatase SHP-1. Journal of Structural Biology. 120(2). 201–203. 17 indexed citations
20.
Denu, John M., et al.. (1995). The Catalytic Role of Aspartic Acid-92 in the Human Dual-Specific Protein-Tyrosine-Phosphatase Vaccinia H1-Related. Biochemistry. 34(10). 3396–3403. 95 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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