Zhen‐Qiang Pan

9.0k total citations · 2 hit papers
68 papers, 7.4k citations indexed

About

Zhen‐Qiang Pan is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Zhen‐Qiang Pan has authored 68 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 31 papers in Oncology and 9 papers in Epidemiology. Recurrent topics in Zhen‐Qiang Pan's work include Ubiquitin and proteasome pathways (47 papers), Cancer-related Molecular Pathways (21 papers) and Protein Degradation and Inhibitors (10 papers). Zhen‐Qiang Pan is often cited by papers focused on Ubiquitin and proteasome pathways (47 papers), Cancer-related Molecular Pathways (21 papers) and Protein Degradation and Inhibitors (10 papers). Zhen‐Qiang Pan collaborates with scholars based in United States, China and Canada. Zhen‐Qiang Pan's co-authors include Kenneth Wu, Esther Latres, Trevor N. Stitt, David M. Valenzuela, Brian Clarke, Erqian Na, George D. Yancopoulos, Susanne Baumhueter, Venus Lai and Thomas M. DeChiara and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Zhen‐Qiang Pan

68 papers receiving 7.3k citations

Hit Papers

Identification of Ubiquitin Ligases Required for Skeletal... 2001 2026 2009 2017 2001 2011 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen‐Qiang Pan United States 38 6.4k 1.4k 1.2k 1.1k 927 68 7.4k
Josée N. Lavoie Canada 29 5.1k 0.8× 1.0k 0.7× 1.3k 1.1× 626 0.6× 309 0.3× 63 6.3k
Karl Riabowol Canada 47 6.3k 1.0× 1.8k 1.3× 780 0.6× 1.4k 1.3× 323 0.3× 141 8.1k
László G. Kömüves United States 44 4.1k 0.6× 681 0.5× 1.0k 0.9× 406 0.4× 564 0.6× 69 6.3k
Maria Sibilia Austria 46 5.8k 0.9× 2.6k 1.8× 816 0.7× 407 0.4× 624 0.7× 117 10.1k
Zhenguo Wu Hong Kong 37 3.6k 0.6× 814 0.6× 502 0.4× 618 0.6× 250 0.3× 99 5.0k
Douglas J. Mahoney Canada 27 2.2k 0.3× 637 0.5× 763 0.6× 609 0.6× 323 0.3× 64 3.9k
Otmar Huber Germany 47 5.4k 0.8× 891 0.6× 1.4k 1.2× 491 0.5× 352 0.4× 109 8.0k
Stefan Schütze Germany 45 5.4k 0.8× 944 0.7× 1.0k 0.9× 948 0.9× 736 0.8× 103 8.2k
Jörg Höhfeld Germany 40 6.4k 1.0× 484 0.3× 2.5k 2.0× 584 0.5× 1.0k 1.1× 65 7.7k
Omar A. Coso Argentina 31 5.2k 0.8× 1.4k 1.0× 1.8k 1.5× 657 0.6× 724 0.8× 65 7.9k

Countries citing papers authored by Zhen‐Qiang Pan

Since Specialization
Citations

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

Fields of papers citing papers by Zhen‐Qiang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen‐Qiang Pan. 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 Zhen‐Qiang Pan. The network helps show where Zhen‐Qiang Pan may publish in the future.

Co-authorship network of co-authors of Zhen‐Qiang Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen‐Qiang Pan. A scholar is included among the top collaborators of Zhen‐Qiang Pan 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 Zhen‐Qiang Pan. Zhen‐Qiang Pan 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.
Wu, Kenneth & Zhen‐Qiang Pan. (2021). A Novel Strategy to Track Lysine-48 Ubiquitination by Fluorescence Resonance Energy Transfer. Methods in molecular biology. 2267. 91–102. 1 indexed citations
2.
Pan, Zhen‐Qiang. (2020). Cullin-RING E3 Ubiquitin Ligase 7 in Growth Control and Cancer. Advances in experimental medicine and biology. 1217. 285–296. 13 indexed citations
3.
Liu, Yakun, et al.. (2017). Demographic Characteristics of Voluntary Donors Registered in Beijing Tongren Hospital Eye Bank of China: A Retrospective Study From 2007 to 2016. Transplantation Proceedings. 49(8). 1712–1718. 6 indexed citations
4.
Zhou, Weihua, Jie Xu, Haomin Li, et al.. (2016). Neddylation E2 UBE2F Promotes the Survival of Lung Cancer Cells by Activating CRL5 to Degrade NOXA via the K11 Linkage. Clinical Cancer Research. 23(4). 1104–1116. 92 indexed citations
5.
Chong, Robert, et al.. (2015). Generation of a Proteolytic Signal: E3/E2-Mediated Polyubiquitination of IκBα. Methods in molecular biology. 1280. 339–354. 1 indexed citations
6.
Sun, Chao, Hailong Li, Hairong Chen, et al.. (2015). Decreased expression of CHIP leads to increased angiogenesis via VEGF-VEGFR2 pathway and poor prognosis in human renal cell carcinoma. Scientific Reports. 5(1). 9774–9774. 17 indexed citations
7.
Wu, Kenneth, Donald E. Spratt, Robert Chong, et al.. (2014). A SnapShot of Ubiquitin Chain Elongation. Journal of Biological Chemistry. 289(10). 7068–7081. 10 indexed citations
8.
Bai, Jin, Hongmei Yong, Peng-jin Mei, et al.. (2013). Cullin1 is a novel marker of poor prognosis and a potential therapeutic target in human breast cancer. Annals of Oncology. 24(8). 2016–2022. 39 indexed citations
9.
Bai, Jin, Peng-jin Mei, Feifei Chen, et al.. (2013). BRG1 Is a Prognostic Marker and Potential Therapeutic Target in Human Breast Cancer. PLoS ONE. 8(3). e59772–e59772. 79 indexed citations
10.
Chen, Kong, Dmitri Samovski, Priya Srikanth, et al.. (2012). Ubiquitination and Degradation of the Hominoid-Specific Oncoprotein TBC1D3 Is Mediated by CUL7 E3 Ligase. PLoS ONE. 7(9). e46485–e46485. 19 indexed citations
11.
Spratt, Donald E., et al.. (2012). Selective Recruitment of an E2∼Ubiquitin Complex by an E3 Ubiquitin Ligase. Journal of Biological Chemistry. 287(21). 17374–17385. 41 indexed citations
12.
Radke, Susanne, Harish Chander, Xinsong Xu, et al.. (2007). Skp2B Stimulates Mammary Gland Development by Inhibiting REA, the Repressor of the Estrogen Receptor. Molecular and Cellular Biology. 27(21). 7615–7622. 12 indexed citations
13.
Pan, Zhen‐Qiang, et al.. (2004). Nedd8 on cullin: building an expressway to protein destruction. Oncogene. 23(11). 1985–1997. 359 indexed citations
14.
Reverter, David, et al.. (2004). Structure of a Complex between Nedd8 and the Ulp/Senp Protease Family Member Den1. Journal of Molecular Biology. 345(1). 141–151. 73 indexed citations
15.
Wu, Kenneth, Kosj Yamoah, Georgia Dolios, et al.. (2003). DEN1 Is a Dual Function Protease Capable of Processing the C Terminus of Nedd8 and Deconjugating Hyper-neddylated CUL1. Journal of Biological Chemistry. 278(31). 28882–28891. 153 indexed citations
16.
Kim, Jaehoon, Jeong‐Hoon Kim, Sung Hak Lee, et al.. (2002). The Novel Human DNA Helicase hFBH1 Is an F-box Protein. Journal of Biological Chemistry. 277(27). 24530–24537. 58 indexed citations
17.
Bodine, Sue C., Esther Latres, Susanne Baumhueter, et al.. (2001). Identification of Ubiquitin Ligases Required for Skeletal Muscle Atrophy. Science. 294(5547). 1704–1708. 2828 indexed citations breakdown →
18.
Chen, Angus, Kenneth Wu, Serge Y. Fuchs, et al.. (2000). The Conserved RING-H2 Finger of ROC1 Is Required for Ubiquitin Ligation. Journal of Biological Chemistry. 275(20). 15432–15439. 57 indexed citations
19.
20.
Pan, Zhen‐Qiang, Hui Ge, Anthony A. Amin, & Jerard Hurwitz. (1996). Transcription-positive Cofactor 4 Forms Complexes with HSSB (RPA) on Single-stranded DNA and Influences HSSB-dependent Enzymatic Synthesis of Simian Virus 40 DNA. Journal of Biological Chemistry. 271(36). 22111–22116. 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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