Che-Hung Shen

1.3k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Che-Hung Shen is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Che-Hung Shen has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Che-Hung Shen's work include Melanoma and MAPK Pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Cell Adhesion Molecules Research (2 papers). Che-Hung Shen is often cited by papers focused on Melanoma and MAPK Pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Cell Adhesion Molecules Research (2 papers). Che-Hung Shen collaborates with scholars based in United States, Taiwan and India. Che-Hung Shen's co-authors include Bin Zheng, Lewis C. Cantley, John M. Asara, Barbara B. Kahn, Gary Bellinger, Timothy E. McGraw, Jennifer Wen, Ning Wu, Yossi Dagon and Adam J. Shaywitz and has published in prestigious journals such as Nature Medicine, Molecular Cell and Molecular and Cellular Biology.

In The Last Decade

Che-Hung Shen

8 papers receiving 1.0k citations

Hit Papers

AMPK-Dependent Degradation of TXNIP upon Energy Stress Le... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Che-Hung Shen United States 8 809 211 210 154 126 8 1.0k
Birger Herzog United Kingdom 16 924 1.1× 227 1.1× 197 0.9× 104 0.7× 102 0.8× 17 1.2k
Manikandan Lakshmanan Singapore 15 835 1.0× 198 0.9× 196 0.9× 244 1.6× 69 0.5× 28 1.2k
Marie‐Josée Boucher Canada 16 657 0.8× 259 1.2× 107 0.5× 153 1.0× 165 1.3× 22 1.0k
Paola A. Marignani Canada 18 772 1.0× 236 1.1× 205 1.0× 156 1.0× 92 0.7× 32 1.1k
Noriko Ueno Japan 16 623 0.8× 177 0.8× 269 1.3× 85 0.6× 75 0.6× 23 1.2k
Chang Gyo Park South Korea 22 822 1.0× 249 1.2× 237 1.1× 263 1.7× 45 0.4× 35 1.2k
Veronika Jenei United Kingdom 18 558 0.7× 223 1.1× 285 1.4× 85 0.6× 86 0.7× 30 1.1k
Yan Ding China 20 963 1.2× 319 1.5× 340 1.6× 161 1.0× 69 0.5× 51 1.6k
F. Gregory Buchanan United States 17 877 1.1× 366 1.7× 366 1.7× 169 1.1× 141 1.1× 19 1.8k
Yan Xia United States 16 750 0.9× 230 1.1× 406 1.9× 137 0.9× 96 0.8× 22 1.3k

Countries citing papers authored by Che-Hung Shen

Since Specialization
Citations

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

Fields of papers citing papers by Che-Hung Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che-Hung Shen. 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 Che-Hung Shen. The network helps show where Che-Hung Shen may publish in the future.

Co-authorship network of co-authors of Che-Hung Shen

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

All Works

8 of 8 papers shown
1.
Tanaka, Yuka, Maho Murata, Che-Hung Shen, Masutaka Furue, & Takamichi Ito. (2021). NECTIN4: A Novel Therapeutic Target for Melanoma. International Journal of Molecular Sciences. 22(2). 976–976. 26 indexed citations
2.
Casimiro, Mathew C., Gabriele Di Sante, Agnese Di Rocco, et al.. (2017). Cyclin D1 Restrains Oncogene-Induced Autophagy by Regulating the AMPK–LKB1 Signaling Axis. Cancer Research. 77(13). 3391–3405. 51 indexed citations
3.
Shen, Che-Hung, Sebastian Trousil, Dennie T. Frederick, et al.. (2016). Loss of cohesin complex components STAG2 or STAG3 confers resistance to BRAF inhibition in melanoma. Nature Medicine. 22(9). 1056–1061. 58 indexed citations
4.
Shen, Che-Hung, Ping Yuan, Rolando Pérez‐Lorenzo, et al.. (2013). Phosphorylation of BRAF by AMPK Impairs BRAF-KSR1 Association and Cell Proliferation. Molecular Cell. 52(2). 161–172. 108 indexed citations
5.
Wu, Ning, Bin Zheng, Adam J. Shaywitz, et al.. (2013). AMPK-Dependent Degradation of TXNIP upon Energy Stress Leads to Enhanced Glucose Uptake via GLUT1. Molecular Cell. 49(6). 1167–1175. 517 indexed citations breakdown →
6.
Shen, Che-Hung, Hsin‐Yi Chen, Cheng‐Chi Chang, et al.. (2008). Breast Tumor Kinase Phosphorylates p190RhoGAP to Regulate Rho and Ras and Promote Breast Carcinoma Growth, Migration, and Invasion. Cancer Research. 68(19). 7779–7787. 72 indexed citations
7.
Wang, Won‐Jing, Jean‐Cheng Kuo, Wei‐Chi Ku, et al.. (2007). The Tumor Suppressor DAPK Is Reciprocally Regulated by Tyrosine Kinase Src and Phosphatase LAR. Molecular Cell. 27(5). 701–716. 65 indexed citations
8.
Chen, Hsin‐Yi, et al.. (2004). Brk Activates Rac1 and Promotes Cell Migration and Invasion by Phosphorylating Paxillin. Molecular and Cellular Biology. 24(24). 10558–10572. 133 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026