Kuen‐Phon Wu

2.3k total citations
37 papers, 1.4k citations indexed

About

Kuen‐Phon Wu is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Kuen‐Phon Wu has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 7 papers in Neurology and 7 papers in Oncology. Recurrent topics in Kuen‐Phon Wu's work include Ubiquitin and proteasome pathways (12 papers), Protein Structure and Dynamics (7 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Kuen‐Phon Wu is often cited by papers focused on Ubiquitin and proteasome pathways (12 papers), Protein Structure and Dynamics (7 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Kuen‐Phon Wu collaborates with scholars based in United States, Taiwan and Japan. Kuen‐Phon Wu's co-authors include Jean Baum, Masayori Inouye, Ronald M. Levy, Chitra Narayanan, Naoki Awano, Hisako Masuda, Qian Tan, Seho Kim, Yuan‐Chao Lou and Brenda A. Schulman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Kuen‐Phon Wu

36 papers receiving 1.4k citations

Peers

Countries citing papers authored by Kuen‐Phon Wu

Since Specialization

Citations

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

Fields of papers citing papers by Kuen‐Phon Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuen‐Phon Wu. 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 Kuen‐Phon Wu. The network helps show where Kuen‐Phon Wu may publish in the future.

Co-authorship network of co-authors of Kuen‐Phon Wu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Filamentous chemokine CCL5 structure and the functional aspects 2025 ·Scientific Reports ·(unknown), Tingting Guo, (unknown), Yi‐Qi Yeh, (unknown), Shawn S. H. Hsu, (unknown), Meng‐Ru Ho, Shang‐Te Danny Hsu, Yi‐Chen Chen, Chuang‐Rung Chang, Kuen‐Phon Wu, U‐Ser Jeng, Shih‐Che Sue	1
2	Robust Design of Effective Allosteric Activators for Rsp5 E3 Ligase Using the Machine Learning Tool ProteinMPNN 2023 ·ACS Synthetic Biology ·(unknown), (unknown), Meng‐Ru Ho, (unknown), Yun-Jung Hsieh, Tzu‐Ping Ko, Shang‐Te Danny Hsu, Kuen‐Phon Wu	4
3	What Strengthens Protein-Protein Interactions: Analysis and Applications of Residue Correlation Networks 2023 ·Journal of Molecular Biology ·(unknown), Yun-Jung Hsieh, (unknown), Kuen‐Phon Wu, Chia‐en A. Chang	3
4	PTPN23 ubiquitination by WDR4 suppresses EGFR and c-MET degradation to define a lung cancer therapeutic target 2023 ·Cell Death and Disease ·(unknown), (unknown), Yating Wang, Shu‐Yu Lin, I‐Ying Kuo, Kuen‐Phon Wu, Won‐Jing Wang, Wen‐Ching Wang, Wu‐Chou Su, Yi‐Ching Wang, Ruey‐Hwa Chen	12
5	Structural basis of transcriptional activation by the OmpR/PhoB-family response regulator PmrA 2023 ·Nucleic Acids Research ·Yuan‐Chao Lou, (unknown), (unknown), (unknown), Chinpan Chen, Kuen‐Phon Wu	1
6	PAICS ubiquitination recruits UBAP2 to trigger phase separation for purinosome assembly 2023 ·Molecular Cell ·(unknown), Yi‐Hsuan Wang, (unknown), (unknown), Kuen‐Phon Wu, Jean‐Cheng Kuo, (unknown), Mei‐Ling Cheng, (unknown), Yu‐Chi Chou, Meng‐Chiao Ho, Steven M. Firestine, Jie‐rong Huang, Ruey‐Hwa Chen	19
7	Cryo-EM reveals the structure and dynamics of a 723-residue malate synthase G 2023 ·Journal of Structural Biology ·Meng‐Ru Ho, Yiming Wu, (unknown), Tzu‐Ping Ko, Kuen‐Phon Wu	2
8	2.2 Å Cryo-EM Tetra-Protofilament Structure of the Hamster Prion 108–144 Fibril Reveals an Ordered Water Channel in the Center 2022 ·Journal of the American Chemical Society ·Hsin‐Liang Chen, (unknown), Chih‐Hsuan Lee, (unknown), Kuen‐Phon Wu, Rita P.‐Y. Chen	12
9	VPS34 K29/K48 branched ubiquitination governed by UBE3C and TRABID regulates autophagy, proteostasis and liver metabolism 2021 ·Nature Communications ·Yu-Hsuan Chen, (unknown), (unknown), Shu‐Yu Lin, (unknown), (unknown), (unknown), Hong-Wen Tang, Zhao‐Qing Shen, Guang‐Chao Chen, Kuen‐Phon Wu, Ting‐Fen Tsai, Ruey‐Hwa Chen	61
10	A cascading activity-based probe sequentially targets E1–E2–E3 ubiquitin enzymes 2016 ·Nature Chemical Biology ·Monique P. C. Mulder, Katharina F. Witting, Ilana Berlin, Jonathan N. Pruneda, Kuen‐Phon Wu, (unknown), Remco Merkx, (unknown), Marcus Groettrup, Alfred C.O. Vertegaal, Brenda A. Schulman, David Komander, Jacques Neefjes, Farid El Oualid, Huib Ovaa	120
11	Deubiquitinase activity is required for the proteasomal degradation of misfolded cytosolic proteins upon heat-stress 2016 ·Nature Communications ·Nancy N. Fang, Mang Zhu, (unknown), Kuen‐Phon Wu, Thibault Mayor	48
12	ACA‐specific RNA sequence recognition is acquired via the loop 2 region of MazF mRNA interferase 2013 ·Proteins Structure Function and Bioinformatics ·Jung‐Ho Park, Satoshi Yoshizumi, Yoshihiro Yamaguchi, Kuen‐Phon Wu, Masayori Inouye	9
13	Fast hydrogen exchange affects 15N relaxation measurements in intrinsically disordered proteins 2013 ·Journal of Biomolecular NMR ·Seho Kim, Kuen‐Phon Wu, Jean Baum	17
14	YeeU enhances the bundling of cytoskeletal polymers of MreB and FtsZ, antagonizing the CbtA (YeeV) toxicity in Escherichia coli 2012 ·Molecular Microbiology ·Hisako Masuda, Qian Tan, Naoki Awano, Kuen‐Phon Wu, Masayori Inouye	178
15	Segmental isotope labeling of proteins for NMR structural study using a protein S tag for higher expression and solubility 2012 ·Journal of Biomolecular NMR ·Hiroshi Kobayashi, G.V.T. Swapna, Kuen‐Phon Wu, (unknown), (unknown), Binchen Mao, G.T. Montelione, Masayori Inouye	12
16	Backbone assignment and dynamics of human α-synuclein in viscous 2 M glucose solution 2010 ·Biomolecular NMR Assignments ·Kuen‐Phon Wu, Jean Baum	13
17	Structural Reorganization of α-Synuclein at Low pH Observed by NMR and REMD Simulations 2009 ·Journal of Molecular Biology ·Kuen‐Phon Wu, (unknown), Chitra Narayanan, Ronald M. Levy, Jean Baum	151
18	Characterization of Conformational and Dynamic Properties of Natively Unfolded Human and Mouse α-Synuclein Ensembles by NMR: Implication for Aggregation 2008 ·Journal of Molecular Biology ·Kuen‐Phon Wu, Seho Kim, (unknown), Jean Baum	104
19	Novel Solution Structure of Porcine β-Microseminoprotein 2005 ·Journal of Molecular Biology ·Iren Wang, Yuan‐Chao Lou, Kuen‐Phon Wu, Shih-Hsiung Wu, Wen‐Chang Chang, Chinpan Chen	10
20	Structural Basis of a Flavivirus Recognized by Its Neutralizing Antibody 2003 ·Journal of Biological Chemistry ·Kuen‐Phon Wu, (unknown), (unknown), (unknown), Yuan‐Chao Lou, Cheng‐Wen Lin, Suh‐Chin Wu, Jya‐Wei Cheng	107

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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