Cexiong Fu

2.4k total citations
21 papers, 2.0k citations indexed

About

Cexiong Fu is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cexiong Fu has authored 21 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Spectroscopy and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cexiong Fu's work include Redox biology and oxidative stress (7 papers), Analytical Chemistry and Chromatography (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Cexiong Fu is often cited by papers focused on Redox biology and oxidative stress (7 papers), Analytical Chemistry and Chromatography (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Cexiong Fu collaborates with scholars based in United States, China and Türkiye. Cexiong Fu's co-authors include Darryl Pappin, Hong Li, Junichi Sadoshima, Tetsuro Ago, Nicholas K. Tonks, Navasona Krishnan, Junya Kuroda, Jayashree Pain, Markus Heidenblad and Ellen Marie Straarup and has published in prestigious journals such as Nature Genetics, Circulation Research and Analytical Chemistry.

In The Last Decade

Cexiong Fu

21 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cexiong Fu United States 14 1.3k 424 399 358 263 21 2.0k
Norma Frizzell United States 30 1.3k 1.0× 145 0.3× 372 0.9× 418 1.2× 129 0.5× 54 2.7k
Marco Colombi Switzerland 13 1.5k 1.1× 124 0.3× 613 1.5× 371 1.0× 261 1.0× 23 2.5k
P K Weech Canada 26 1.1k 0.8× 176 0.4× 372 0.9× 280 0.8× 224 0.9× 44 2.2k
Kyle S. McCommis United States 26 1.1k 0.8× 188 0.4× 234 0.6× 451 1.3× 231 0.9× 67 2.1k
David Marciano United States 19 1.3k 0.9× 125 0.3× 186 0.5× 320 0.9× 116 0.4× 26 1.9k
Hong Xin China 25 829 0.6× 287 0.7× 205 0.5× 166 0.5× 212 0.8× 54 1.6k
Eduardo N. Maldonado United States 26 1.5k 1.1× 145 0.3× 471 1.2× 205 0.6× 110 0.4× 55 2.2k
Abu B. Al‐Mehdi United States 28 957 0.7× 231 0.5× 283 0.7× 1.1k 3.0× 405 1.5× 37 2.7k
Andelko Hrzenjak Austria 32 1.4k 1.0× 127 0.3× 604 1.5× 205 0.6× 224 0.9× 63 2.5k
Mara Monetti United States 16 847 0.6× 523 1.2× 113 0.3× 390 1.1× 92 0.3× 33 1.7k

Countries citing papers authored by Cexiong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Cexiong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cexiong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Cexiong Fu. A scholar is included among the top collaborators of Cexiong Fu 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 Cexiong Fu. Cexiong Fu 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.
Yu, Chuanfei, Wenbo Wang, Cexiong Fu, et al.. (2021). Quality comparability assessment of a SARS-CoV-2-neutralizing antibody across transient, mini-pool-derived and single-clone CHO cells. mAbs. 14(1). 2005507–2005507. 11 indexed citations
2.
Fu, Cexiong, et al.. (2020). Knockout of LATS1 induces neoplastic phenotype in hepatic oval cells. Translational Cancer Research. 9(5). 3564–3572. 1 indexed citations
3.
Chen, Bifan, Ziqing Lin, Yanlong Zhu, et al.. (2019). Middle-Down Multi-Attribute Analysis of Antibody-Drug Conjugates with Electron Transfer Dissociation. Analytical Chemistry. 91(18). 11661–11669. 31 indexed citations
4.
Fu, Cexiong, et al.. (2019). Assessing localized conformational stability of antibody-drug conjugate by protein conformation assay. Journal of Pharmaceutical and Biomedical Analysis. 179. 113020–113020. 2 indexed citations
5.
Chen, Bifan, Ziqing Lin, Andrew J. Alpert, et al.. (2018). Online Hydrophobic Interaction Chromatography–Mass Spectrometry for the Analysis of Intact Monoclonal Antibodies. Analytical Chemistry. 90(12). 7135–7138. 57 indexed citations
6.
Jin, Yutong, Ziqing Lin, Qingge Xu, et al.. (2018). Comprehensive characterization of monoclonal antibody by Fourier transform ion cyclotron resonance mass spectrometry. mAbs. 11(1). 106–115. 55 indexed citations
7.
Fan, Gaofeng, Kazimierz O. Wrzeszczyński, Cexiong Fu, et al.. (2014). A quantitative proteomics-based signature of platinum sensitivity in ovarian cancer cell lines. Biochemical Journal. 465(3). 433–442. 10 indexed citations
8.
Fu, Cexiong & Morteza G. Khaledi. (2014). Characterization and Classification of Pseudo-Stationary Phases in Micellar Electrokinetic Chromatography Using Chemometric Methods. Analytical Chemistry. 86(5). 2371–2379. 6 indexed citations
9.
Fu, Cexiong, Tong Liu, Andrew M. Parrott, & Hong Li. (2013). Identification of Thioredoxin Target Protein Networks in Cardiac Tissues of a Transgenic Mouse. Methods in molecular biology. 1005. 181–197. 2 indexed citations
10.
Fu, Cexiong, Li Di, Xiaogang Han, et al.. (2013). Aldehyde Oxidase 1 (AOX1) in Human Liver Cytosols: Quantitative Characterization of AOX1 Expression Level and Activity Relationship. Drug Metabolism and Disposition. 41(10). 1797–1804. 50 indexed citations
11.
12.
Krishnan, Navasona, Cexiong Fu, Darryl Pappin, & Nicholas K. Tonks. (2011). H 2 S-Induced Sulfhydration of the Phosphatase PTP1B and Its Role in the Endoplasmic Reticulum Stress Response. Science Signaling. 4(203). ra86–ra86. 380 indexed citations
13.
Obad, Susanna, Camila O. dos Santos, Andreas Petri, et al.. (2011). Silencing of microRNA families by seed-targeting tiny LNAs. Nature Genetics. 43(4). 371–378. 498 indexed citations
14.
Wu, Changgong, Andrew M. Parrott, Cexiong Fu, et al.. (2011). Thioredoxin 1-Mediated Post-Translational Modifications: Reduction, Transnitrosylation, Denitrosylation, and Related Proteomics Methodologies. Antioxidants and Redox Signaling. 15(9). 2565–2604. 97 indexed citations
15.
Wu, Changgong, Tong Liu, Wei Chen, et al.. (2010). Redox Regulatory Mechanism of Transnitrosylation by Thioredoxin. Molecular & Cellular Proteomics. 9(10). 2262–2275. 115 indexed citations
16.
Ago, Tetsuro, Junya Kuroda, Jayashree Pain, et al.. (2010). Upregulation of Nox4 by Hypertrophic Stimuli Promotes Apoptosis and Mitochondrial Dysfunction in Cardiac Myocytes. Circulation Research. 106(7). 1253–1264. 433 indexed citations
17.
Fu, Cexiong & Morteza G. Khaledi. (2009). Selectivity patterns in micellar electrokinetic chromatography. Journal of Chromatography A. 1216(10). 1901–1907. 13 indexed citations
18.
Fu, Cexiong, Changgong Wu, Tong Liu, et al.. (2009). Elucidation of Thioredoxin Target Protein Networks in Mouse. Molecular & Cellular Proteomics. 8(7). 1674–1687. 71 indexed citations
19.
Fu, Cexiong & Morteza G. Khaledi. (2009). Micellar selectivity triangle for classification of chemical selectivity in electrokinetic chromatography. Journal of Chromatography A. 1216(10). 1891–1900. 27 indexed citations
20.
Fu, Cexiong, Jun Hu, Tong Liu, et al.. (2008). Quantitative Analysis of Redox-Sensitive Proteome with DIGE and ICAT. Journal of Proteome Research. 7(9). 3789–3802. 94 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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