Liem Phan

2.5k total citations
30 papers, 1.6k citations indexed

About

Liem Phan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Liem Phan has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Liem Phan's work include Ubiquitin and proteasome pathways (16 papers), Cancer-related Molecular Pathways (14 papers) and Cancer, Hypoxia, and Metabolism (8 papers). Liem Phan is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Cancer-related Molecular Pathways (14 papers) and Cancer, Hypoxia, and Metabolism (8 papers). Liem Phan collaborates with scholars based in United States, Australia and China. Liem Phan's co-authors include Sai‐Ching J. Yeung, Mong‐Hong Lee, Abdol-Hossein Rezaeian, Ruiying Zhao, Ping‐Chieh Chou, Hyun Ho Choi, Enrique Fuentes‐Mattei, Chun‐Hui Su, Guermarie Velázquez-Torres and Tsung‐Ying Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Liem Phan

30 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liem Phan United States 20 1.1k 563 518 195 179 30 1.6k
Rebecca E. Schweppe United States 25 1.2k 1.1× 765 1.4× 360 0.7× 149 0.8× 145 0.8× 48 2.3k
Ulrike Sattler Germany 15 1.4k 1.2× 350 0.6× 884 1.7× 119 0.6× 167 0.9× 20 2.0k
Fabian V. Filipp United States 25 1.5k 1.4× 293 0.5× 571 1.1× 205 1.1× 186 1.0× 44 2.0k
Yesim Gökmen‐Polar United States 26 1.1k 0.9× 430 0.8× 416 0.8× 177 0.9× 112 0.6× 92 1.7k
Sergej Skvortsov Austria 24 1.2k 1.1× 780 1.4× 605 1.2× 144 0.7× 197 1.1× 48 2.1k
Osamu Kitahara Japan 14 1.3k 1.2× 498 0.9× 368 0.7× 185 0.9× 122 0.7× 18 2.0k
H. Artee Luchman Canada 24 850 0.8× 398 0.7× 542 1.0× 63 0.3× 147 0.8× 43 1.6k
Franziska Baenke Germany 15 1.1k 0.9× 384 0.7× 850 1.6× 74 0.4× 185 1.0× 28 1.6k
Jack H. Lai United States 19 1.1k 1.0× 607 1.1× 260 0.5× 151 0.8× 159 0.9× 34 1.7k
Joanne R. Doherty United States 14 1.2k 1.1× 340 0.6× 643 1.2× 340 1.7× 173 1.0× 21 1.7k

Countries citing papers authored by Liem Phan

Since Specialization
Citations

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

Fields of papers citing papers by Liem Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liem Phan. 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 Liem Phan. The network helps show where Liem Phan may publish in the future.

Co-authorship network of co-authors of Liem Phan

This figure shows the co-authorship network connecting the top 25 collaborators of Liem Phan. A scholar is included among the top collaborators of Liem Phan 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 Liem Phan. Liem Phan 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.
Nguyen, Ha Nam, Thi Ngoc Phuong Nguyen, Hung N. Luu, et al.. (2025). A comprehensive review of cancer survival prediction using multi-omics integration and clinical variables. Briefings in Bioinformatics. 26(2). 3 indexed citations
2.
Phan, Liem, Douglas R. Miller, Adithya Gopinath, et al.. (2025). Parkinson’s paradox: alpha-synuclein’s selective strike on SNc dopamine neurons over VTA. npj Parkinson s Disease. 11(1). 207–207. 1 indexed citations
3.
Rezaeian, Abdol-Hossein, Liem Phan, Xiaobo Zhou, Wenyi Wei, & Hiroyuki Inuzuka. (2023). Pharmacological inhibition of the SKP2/p300 signaling axis restricts castration-resistant prostate cancer. Neoplasia. 38. 100890–100890. 11 indexed citations
4.
Joseph, Jacinth, et al.. (2022). CAR T-Cell Therapy for Patients with Multiple Myeloma: Current Evidence and Challenges. PubMed. Volume 12. 119–136. 41 indexed citations
5.
Chou, Ping‐Chieh, Hyun Ho Choi, Yizhi Huang, et al.. (2021). Impact of diabetes on promoting the growth of breast cancer. Cancer Communications. 41(5). 414–431. 17 indexed citations
6.
Choi, Hyun Ho, Shaomin Zou, Jian‐Lin Wu, et al.. (2020). EGF Relays Signals to COP1 and Facilitates FOXO4 Degradation to Promote Tumorigenesis. Advanced Science. 7(20). 2000681–2000681. 29 indexed citations
7.
Kolb, Ryan, Liem Phan, Nicholas Borcherding, et al.. (2016). Obesity-associated NLRC4 inflammasome activation drives breast cancer progression. Nature Communications. 7(1). 13007–13007. 187 indexed citations
8.
Li, Chien‐Feng, Ching-Yuan Wu, Xian Zhang, et al.. (2016). A hypoxia-responsive TRAF6–ATM–H2AX signalling axis promotes HIF1α activation, tumorigenesis and metastasis. Nature Cell Biology. 19(1). 38–51. 91 indexed citations
9.
Phan, Liem, Enrique Fuentes‐Mattei, Weixin Wu, et al.. (2015). Hepatocyte Growth Factor/cMET Pathway Activation Enhances Cancer Hallmarks in Adrenocortical Carcinoma. Cancer Research. 75(19). 4131–4142. 34 indexed citations
10.
Bankson, James A., Christopher M. Walker, Marc S. Ramirez, et al.. (2015). Kinetic Modeling and Constrained Reconstruction of Hyperpolarized [1-13C]-Pyruvate Offers Improved Metabolic Imaging of Tumors. Cancer Research. 75(22). 4708–4717. 70 indexed citations
11.
Shin, Ji‐Hyun, Liem Phan, Jian Chen, Zhimin Lu, & Mong‐Hong Lee. (2015). CSN6 positively regulates c-Jun in a MEKK1-dependent manner. Cell Cycle. 14(19). 3079–3087. 8 indexed citations
12.
Choi, Hyun Ho, Lekun Fang, Liem Phan, et al.. (2015). Regulating the stability and localization of CDK inhibitor p27Kip1 via CSN6-COP1 axis. Cell Cycle. 14(14). 2265–2273. 28 indexed citations
13.
Pathiraja, Thushangi N., Kaushik N. Thakkar, Shiming Jiang, et al.. (2014). TRIM24 links glucose metabolism with transformation of human mammary epithelial cells. Oncogene. 34(22). 2836–2845. 44 indexed citations
14.
Zhao, Ruiying, Heng-Yin Yang, Ji‐Hyun Shin, et al.. (2013). CDK inhibitor p57Kip2 is downregulated by Akt during HER2-mediated tumorigenicity. Cell Cycle. 12(6). 935–943. 31 indexed citations
15.
Zhao, Ruiying, Liem Phan, Bo Chen, et al.. (2013). Ubiquitination-Mediated p57Kip2 Degradation by CSN5 Confers Cancer Cell Proliferation. 1(2). 133–144. 5 indexed citations
16.
Xue, Yuwen, Jian Chen, Liem Phan, et al.. (2012). HER2-Akt signaling in regulating COP9 signalsome subunit 6 and p53. Cell Cycle. 11(22). 4181–4190. 28 indexed citations
17.
Chen, Bo, Ruiying Zhao, Chieh Tseng, et al.. (2012). CDK inhibitor p57Kip2is negatively regulated by COP9 signalosome subunit 6. Cell Cycle. 11(24). 4633–4641. 26 indexed citations
18.
Choi, Hyun Ho, Christopher Gully, Guermarie Velázquez-Torres, et al.. (2011). COP9 signalosome subunit 6 stabilizes COP1, which functions as an E3 ubiquitin ligase for 14-3-3σ. Oncogene. 30(48). 4791–4801. 44 indexed citations
19.
Lee, Mong‐Hong, Ruiying Zhao, Liem Phan, & Sai‐Ching J. Yeung. (2011). Roles of COP9 signalosome in cancer. Cell Cycle. 10(18). 3057–3066. 105 indexed citations
20.
Su, Chun‐Hui, Ruiying Zhao, Fanmao Zhang, et al.. (2010). 14-3-3σ Exerts Tumor-Suppressor Activity Mediated by Regulation of COP1 Stability. Cancer Research. 71(3). 884–894. 50 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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