Wen‐Horng Wang

1.4k total citations
29 papers, 1.1k citations indexed

About

Wen‐Horng Wang is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Wen‐Horng Wang has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cell Biology. Recurrent topics in Wen‐Horng Wang's work include Cancer-related Molecular Pathways (7 papers), Muscle Physiology and Disorders (4 papers) and Hepatitis B Virus Studies (4 papers). Wen‐Horng Wang is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Muscle Physiology and Disorders (4 papers) and Hepatitis B Virus Studies (4 papers). Wen‐Horng Wang collaborates with scholars based in United States, Taiwan and China. Wen‐Horng Wang's co-authors include Robert L. Geahlen, Ourania Andrisani, Arvind Raman, Ronald L. Hullinger, Shana D. Hardy, Yuri M. Efremov, Gérald Grégori, Alexander X. Cartagena‐Rivera, W. Andy Tao and Xiaoqi Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Wen‐Horng Wang

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Horng Wang United States 17 592 312 212 194 190 29 1.1k
Eleanor Kable Australia 17 798 1.3× 244 0.8× 113 0.5× 53 0.3× 92 0.5× 34 1.6k
Shouqin Lü China 22 620 1.0× 285 0.9× 45 0.2× 94 0.5× 135 0.7× 76 1.5k
Pavel Veselý Czechia 18 530 0.9× 473 1.5× 400 1.9× 56 0.3× 145 0.8× 109 1.5k
Stéphanie Baud France 17 777 1.3× 304 1.0× 85 0.4× 46 0.2× 77 0.4× 51 1.5k
Paul L. Appleton United Kingdom 21 814 1.4× 286 0.9× 327 1.5× 101 0.5× 49 0.3× 33 1.4k
Ronald De Zanger Belgium 16 426 0.7× 179 0.6× 127 0.6× 275 1.4× 53 0.3× 28 1.4k
Gerald Radziwill Germany 26 889 1.5× 186 0.6× 130 0.6× 511 2.6× 26 0.1× 55 1.8k
Vera DesMarais United States 17 781 1.3× 1.2k 4.0× 168 0.8× 52 0.3× 109 0.6× 20 1.8k
Kangmin He China 18 746 1.3× 316 1.0× 87 0.4× 75 0.4× 57 0.3× 43 1.5k

Countries citing papers authored by Wen‐Horng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Horng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen‐Horng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Horng Wang. A scholar is included among the top collaborators of Wen‐Horng 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 Wen‐Horng Wang. Wen‐Horng 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.
Urazaev, A. Kh., et al.. (2020). The ERG1a potassium channel increases basal intracellular calcium concentration and calpain activity in skeletal muscle cells. Skeletal Muscle. 10(1). 1–1. 16 indexed citations
2.
Arrington, Justine, Liang Xue, Wen‐Horng Wang, Robert L. Geahlen, & W. Andy Tao. (2019). Identification of the Direct Substrates of the ABL Kinase via Kinase Assay Linked Phosphoproteomics with Multiple Drug Treatments. Journal of Proteome Research. 18(4). 1679–1690. 6 indexed citations
3.
Efremov, Yuri M., Wen‐Horng Wang, Shana D. Hardy, Robert L. Geahlen, & Arvind Raman. (2017). Measuring nanoscale viscoelastic parameters of cells directly from AFM force-displacement curves. Scientific Reports. 7(1). 1541–1541. 195 indexed citations
4.
Wang, Wen‐Horng, et al.. (2017). Identification of Upstream Kinases by Fluorescence Complementation Mass Spectrometry. ACS Central Science. 3(10). 1078–1085. 10 indexed citations
5.
Cartagena‐Rivera, Alexander X., Wen‐Horng Wang, Robert L. Geahlen, & Arvind Raman. (2015). Fast, multi-frequency and quantitative nanomechanical mapping of live cells using the atomic force microscope. Scientific Reports. 5(1). 11692–11692. 103 indexed citations
6.
Ghosh, Soumitra, et al.. (2015). Syk Is Recruited to Stress Granules and Promotes Their Clearance through Autophagy. Journal of Biological Chemistry. 290(46). 27803–27815. 41 indexed citations
7.
Iliuk, Anton, et al.. (2014). In-depth analyses of B cell signaling through tandem mass spectrometry of phosphopeptides enriched by PolyMAC. International Journal of Mass Spectrometry. 377. 744–753. 16 indexed citations
8.
Hockerman, Gregory H., et al.. (2014). The Ubr2 gene is expressed in skeletal muscle atrophying as a result of hind limb suspension, but not Merg1a expression alone. European Journal of Translational Myology. 24(3). 3319–3319. 13 indexed citations
9.
Hockerman, Gregory H., et al.. (2014). The Ubr2 gene is expressed in skeletal muscle atrophying as a result of hind limb suspension, but not Merg1a expression alone. European Journal of Translational Myology. 24(3). 7 indexed citations
10.
Yu, Shuai, He Huang, Anton Iliuk, et al.. (2013). Syk Inhibits the Activity of Protein Kinase A by Phosphorylating Tyrosine 330 of the Catalytic Subunit. Journal of Biological Chemistry. 288(15). 10870–10881. 13 indexed citations
11.
Xue, Liang, Wen‐Horng Wang, Anton Iliuk, et al.. (2012). Sensitive kinase assay linked with phosphoproteomics for identifying direct kinase substrates. Proceedings of the National Academy of Sciences. 109(15). 5615–5620. 109 indexed citations
12.
13.
Wang, Wen‐Horng, Gregory J. Weber, Jiabin Tang, et al.. (2010). Polo-like Kinase 1 Activated by the Hepatitis B Virus X Protein Attenuates Both the DNA Damage Checkpoint and DNA Repair Resulting in Partial Polyploidy. Journal of Biological Chemistry. 285(39). 30282–30293. 41 indexed citations
14.
Yang, Xiaoming, Hongchang Li, Zinan Zhou, et al.. (2009). Plk1-mediated Phosphorylation of Topors Regulates p53 Stability. Journal of Biological Chemistry. 284(28). 18588–18592. 79 indexed citations
16.
Wang, Wen‐Horng, Ronald L. Hullinger, & Ourania Andrisani. (2008). Hepatitis B Virus X Protein via the p38MAPK Pathway Induces E2F1 Release and ATR Kinase Activation Mediating p53 Apoptosis. Journal of Biological Chemistry. 283(37). 25455–25467. 71 indexed citations
17.
Wang, Wen‐Horng, et al.. (2008). Hepatitis B Virus X Protein Increases the Cdt1-to-Geminin Ratio Inducing DNA Re-replication and Polyploidy. Journal of Biological Chemistry. 283(42). 28729–28740. 46 indexed citations
19.
Wen, Yu‐Der, et al.. (2000). Structural and functional properties of aBacillus subtilis temperature-sensitive ?A factor. Proteins Structure Function and Bioinformatics. 40(4). 613–622. 3 indexed citations
20.
Wen, Yu‐Der, et al.. (1999). Identification and characterization of a stress‐responsive promoter in the macromolecular synthesis operon of Bacillus subtilis. Molecular Microbiology. 33(2). 377–388. 8 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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