Wen‐Liang Kuo

596 total citations
17 papers, 493 citations indexed

About

Wen‐Liang Kuo is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Wen‐Liang Kuo has authored 17 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Oncology. Recurrent topics in Wen‐Liang Kuo's work include Melanoma and MAPK Pathways (3 papers), Pancreatic function and diabetes (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Wen‐Liang Kuo is often cited by papers focused on Melanoma and MAPK Pathways (3 papers), Pancreatic function and diabetes (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Wen‐Liang Kuo collaborates with scholars based in United States and Germany. Wen‐Liang Kuo's co-authors include Marsha Rich Rosner, Barry D. Gehm, Mark K. Abe, Po‐Tsun Liu, Ezra E.W. Cohen, Marc B. Hershenson, Alla Y. Karpova, Jessica Rhee, Wei‐Jen Tang and Sean A. McCarthy and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Molecular and Cellular Biology.

In The Last Decade

Wen‐Liang Kuo

17 papers receiving 482 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‐Liang Kuo United States 11 344 98 95 75 72 17 493
Jean-Pierre Roperch France 9 335 1.0× 84 0.9× 164 1.7× 49 0.7× 71 1.0× 10 503
Megan V. Astle Australia 10 530 1.5× 113 1.2× 109 1.1× 122 1.6× 63 0.9× 10 727
Silvia Demontis Italy 10 417 1.2× 67 0.7× 131 1.4× 47 0.6× 74 1.0× 10 584
Elke Hengstschläger-Ottnad Austria 13 246 0.7× 67 0.7× 162 1.7× 53 0.7× 61 0.8× 13 397
Céline J. Rocca United States 14 288 0.8× 127 1.3× 61 0.6× 93 1.2× 54 0.8× 24 698
Simona Citro Italy 11 292 0.8× 105 1.1× 83 0.9× 36 0.5× 44 0.6× 21 438
Chieko Aoyama Japan 14 513 1.5× 50 0.5× 72 0.8× 85 1.1× 123 1.7× 23 692
Pablo Lorenzano Menna Argentina 10 341 1.0× 80 0.8× 84 0.9× 100 1.3× 59 0.8× 21 501
Jang Soo Chun South Korea 7 310 0.9× 49 0.5× 58 0.6× 47 0.6× 54 0.8× 8 471
An Rykx Belgium 7 400 1.2× 40 0.4× 75 0.8× 117 1.6× 45 0.6× 8 523

Countries citing papers authored by Wen‐Liang Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Liang Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen‐Liang Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Liang Kuo. A scholar is included among the top collaborators of Wen‐Liang Kuo 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‐Liang Kuo. Wen‐Liang Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Kuo, Wen‐Liang, et al.. (2014). Abstract 316: Modifying autophagy through combination treatments as a potential therapeutic strategy in head and neck squamous cell carcinoma (HNSCC). Cancer Research. 74(19_Supplement). 316–316. 1 indexed citations
2.
Kuo, Wen‐Liang, Jeannette S. Messer, David L. Boone, et al.. (2013). Synergy with combination of AKT inhibitor (MK-2206) and paclitaxel in head and neck squamous cell carcinoma.. Journal of Clinical Oncology. 31(15_suppl). e13532–e13532. 4 indexed citations
3.
Kuo, Wen‐Liang, Tanguy Y. Seiwert, Mark W. Lingen, et al.. (2011). Effect of complementary pathway blockade on efficacy of combination enzastaurin and rapamycin. Head & Neck. 33(12). 1774–1782. 13 indexed citations
4.
Kuo, Wen‐Liang, Jing Liu, Helena J. Mauceri, et al.. (2010). Efficacy of the Multi-Kinase Inhibitor Enzastaurin Is Dependent on Cellular Signaling Context. Molecular Cancer Therapeutics. 9(10). 2814–2824. 15 indexed citations
5.
Cohen, Ezra E.W., Hongyan Zhu, Mark W. Lingen, et al.. (2008). A Feed-Forward Loop Involving Protein Kinase Cα and MicroRNAs Regulates Tumor Cell Cycle. Cancer Research. 69(1). 65–74. 67 indexed citations
6.
Weirich, Gregor, Karin Mengele, Christina Yfanti, et al.. (2008). Immunohistochemical evidence of ubiquitous distribution of the metalloendoprotease insulin-degrading enzyme (IDE; insulysin) in human non-malignant tissues and tumor cell lines. Biological Chemistry. 389(11). 1441–1445. 9 indexed citations
7.
Radulescu, Razvan T., Peter B. Luppa, Heide Hellebrand, et al.. (2007). Immunohistochemical demonstration of the zinc metalloprotease insulin-degrading enzyme in normal and malignant human breast: Correlation with tissue insulin levels. International Journal of Oncology. 30(1). 73–80. 10 indexed citations
8.
Kuo, Wen‐Liang, et al.. (2006). The C-terminal domain of human insulin degrading enzyme is required for dimerization and substrate recognition. Biochemical and Biophysical Research Communications. 343(4). 1032–1037. 41 indexed citations
9.
Kuo, Wen‐Liang, et al.. (2004). ERK7 Expression and Kinase Activity Is Regulated by the Ubiquitin-Proteosome Pathway. Journal of Biological Chemistry. 279(22). 23073–23081. 40 indexed citations
10.
Kuo, Wen‐Liang, et al.. (1997). Assignment of Protease, Serine-Like 1 (PRSSL1) to human chromosome 19q13 by in situ hybridization and radiation hybrid mapping. Cytogenetic and Genome Research. 79(1-2). 147–148. 1 indexed citations
11.
Hou, Tung‐Hsu & Wen‐Liang Kuo. (1997). A new edge detection method for automatic visual inspection. The International Journal of Advanced Manufacturing Technology. 13(6). 407–412. 8 indexed citations
12.
Karpova, Alla Y., et al.. (1997). MEK1 is required for PDGF-induced ERK activation and DNA synthesis in tracheal myocytes. American Journal of Physiology-Lung Cellular and Molecular Physiology. 272(3). L558–L565. 76 indexed citations
13.
Kuo, Wen‐Liang, Mark K. Abe, Jessica Rhee, et al.. (1996). Raf, but Not MEK or ERK, Is Sufficient for Differentiation of Hippocampal Neuronal Cells. Molecular and Cellular Biology. 16(4). 1458–1470. 77 indexed citations
14.
Kuo, Wen‐Liang. (1993). Insulin-degrading enzyme is differentially expressed and developmentally regulated in various rat tissues. Endocrinology. 132(2). 604–611. 30 indexed citations
15.
Kuo, Wen‐Liang, Barry D. Gehm, & Marsha Rich Rosner. (1991). Regulation of Insulin Degradation: Expression of an Evolutionarily Conserved Insulin-Degrading Enzyme Increases Degradation via an Intracellular Pathway. Molecular Endocrinology. 5(10). 1467–1476. 39 indexed citations
16.
Espinosa, R, et al.. (1991). Localization of the gene encoding insulin-degrading enzyme to human chromosome 10, bands q23→q25. Cytogenetic and Genome Research. 57(4). 184–186. 11 indexed citations
17.
Kuo, Wen‐Liang, Barry D. Gehm, & Marsha Rich Rosner. (1990). Cloning and Expression of the cDNA for aDrosophilaInsulin-Degrading Enzyme. Molecular Endocrinology. 4(10). 1580–1591. 51 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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