Cuiling Zhong

3.5k total citations · 3 hit papers
18 papers, 2.8k citations indexed

About

Cuiling Zhong is a scholar working on Molecular Biology, Immunology and Allergy and Cancer Research. According to data from OpenAlex, Cuiling Zhong has authored 18 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Immunology and Allergy and 6 papers in Cancer Research. Recurrent topics in Cuiling Zhong's work include Angiogenesis and VEGF in Cancer (8 papers), Cell Adhesion Molecules Research (7 papers) and Protease and Inhibitor Mechanisms (4 papers). Cuiling Zhong is often cited by papers focused on Angiogenesis and VEGF in Cancer (8 papers), Cell Adhesion Molecules Research (7 papers) and Protease and Inhibitor Mechanisms (4 papers). Cuiling Zhong collaborates with scholars based in United States, Japan and China. Cuiling Zhong's co-authors include Napoleone Ferrara, Xiumin Wu, Keith Burridge, Farbod Shojaei, Lanlan Yu, Magdalena Chrzanowska‐Wodnicka, Alexey M. Belkin, James A. Brown, Hans‐Peter Gerber and Stefanie Schanz and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Cuiling Zhong

16 papers receiving 2.7k citations

Hit Papers

Tumor refractoriness to anti-VEGF treatment is mediated b... 1998 2026 2007 2016 2007 2007 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuiling Zhong United States 14 1.4k 1.0k 839 757 552 18 2.8k
Rubén A. Bartolomé Spain 29 1.1k 0.8× 1.0k 1.0× 648 0.8× 493 0.7× 313 0.6× 48 2.3k
Alexander Stoeck United States 21 2.5k 1.7× 705 0.7× 469 0.6× 1.1k 1.4× 326 0.6× 24 3.4k
Philip D. King United States 34 1.5k 1.0× 1.1k 1.1× 1.4k 1.7× 440 0.6× 230 0.4× 76 3.5k
Marcin Iwanicki United States 22 1.7k 1.1× 1.1k 1.1× 256 0.3× 538 0.7× 807 1.5× 33 2.9k
Michael W. Pickup United States 22 1.8k 1.2× 1.9k 1.9× 929 1.1× 783 1.0× 812 1.5× 32 4.0k
Marina A. Glukhova France 35 2.0k 1.4× 1.3k 1.3× 385 0.5× 592 0.8× 687 1.2× 86 3.9k
Takuya Kato Japan 27 1.4k 1.0× 814 0.8× 295 0.4× 404 0.5× 582 1.1× 59 2.5k
Farbod Shojaei United States 22 2.4k 1.6× 1.5k 1.4× 1.3k 1.6× 891 1.2× 392 0.7× 35 4.0k
Donatella Valdembri Italy 26 1.7k 1.2× 648 0.6× 284 0.3× 328 0.4× 619 1.1× 44 2.8k
Mallika Singh United States 27 2.0k 1.4× 985 1.0× 864 1.0× 605 0.8× 167 0.3× 74 3.4k

Countries citing papers authored by Cuiling Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Cuiling Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuiling Zhong

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

All Works

18 of 18 papers shown
1.
Xin, Hong, et al.. (2021). Heparin-binding VEGFR1 variants as long-acting VEGF inhibitors for treatment of intraocular neovascular disorders. Proceedings of the National Academy of Sciences. 118(21). 15 indexed citations
2.
Zhong, Cuiling, Sulabha Argade, Lixian Liu, et al.. (2020). Inhibition of protein glycosylation is a novel pro-angiogenic strategy that acts via activation of stress pathways. Nature Communications. 11(1). 6330–6330. 28 indexed citations
3.
Kinch, Michael S., Keith Burridge, & Cuiling Zhong. (2020). Rho-stimulated Contractility Contributes to the Fibroblastic Phenotype of Ras-transformed Epithelial Cells. UNC Libraries.
5.
Itatani, Yoshiro, Takamasa Yamamoto, Cuiling Zhong, et al.. (2020). Suppressing neutrophil-dependent angiogenesis abrogates resistance to anti-VEGF antibody in a genetic model of colorectal cancer. Proceedings of the National Academy of Sciences. 117(35). 21598–21608. 68 indexed citations
6.
Xin, Hong, Cuiling Zhong, Eric Nudleman, & Napoleone Ferrara. (2016). Evidence for Pro-angiogenic Functions of VEGF-Ax. Cell. 167(1). 275–284.e6. 58 indexed citations
7.
Liu, Bob Y., Irina Soloviev, Peter Mu‐Hsin Chang, et al.. (2010). Stromal Cell-Derived Factor-1/CXCL12 Contributes to MMTV-Wnt1 Tumor Growth Involving Gr1+CD11b+ Cells. PLoS ONE. 5(1). e8611–e8611. 22 indexed citations
8.
Crawford, Yongping, Ian Kasman, Lanlan Yu, et al.. (2009). PDGF-C Mediates the Angiogenic and Tumorigenic Properties of Fibroblasts Associated with Tumors Refractory to Anti-VEGF Treatment. Cancer Cell. 15(1). 21–34. 481 indexed citations
9.
Zhong, Cuiling, et al.. (2009). Characterization and Regulation of Bv8 in Human Blood Cells. Clinical Cancer Research. 15(8). 2675–2684. 64 indexed citations
10.
Shojaei, Farbod, Cuiling Zhong, Xiumin Wu, Lanlan Yu, & Napoleone Ferrara. (2008). Role of myeloid cells in tumor angiogenesis and growth. Trends in Cell Biology. 18(8). 372–378. 127 indexed citations
11.
Shojaei, Farbod, Xiumin Wu, Ajay K. Malik, et al.. (2007). Tumor refractoriness to anti-VEGF treatment mediated by CD11b+Gr1+ myeloid cells. Molecular Cancer Therapeutics. 6. 1 indexed citations
12.
Shojaei, Farbod, Xiumin Wu, Ajay K. Malik, et al.. (2007). Tumor refractoriness to anti-VEGF treatment is mediated by CD11b+Gr1+ myeloid cells. Nature Biotechnology. 25(8). 911–920. 673 indexed citations breakdown →
13.
Shojaei, Farbod, Xiumin Wu, Cuiling Zhong, et al.. (2007). Bv8 regulates myeloid-cell-dependent tumour angiogenesis. Nature. 450(7171). 825–831. 522 indexed citations breakdown →
14.
Kinch, Michael S., Katherine E. Kilpatrick, & Cuiling Zhong. (1998). Identification of Tyrosine Phosphorylated Adhesion Proteins in Human Cancer Cells. Hybridoma. 17(3). 227–235. 19 indexed citations
15.
Zhong, Cuiling, et al.. (1998). Rho-mediated Contractility Exposes a Cryptic Site in Fibronectin and Induces Fibronectin Matrix Assembly. The Journal of Cell Biology. 141(2). 539–551. 515 indexed citations breakdown →
16.
Kinch, Michael S., Leslie Petch, Cuiling Zhong, & Keith Burridge. (1997). E-Cadherin Engagement Stimulates Tyrosine Phosphorylation. Cell adhesion and communications/Cell adhesion and communication/Cell adhesion & communication. 4(6). 425–437. 38 indexed citations
17.
Zhong, Cuiling, Michael S. Kinch, & Keith Burridge. (1997). Rho-stimulated Contractility Contributes to the Fibroblastic Phenotype of Ras-transformed Epithelial Cells. Molecular Biology of the Cell. 8(11). 2329–2344. 137 indexed citations
18.
Zhong, Cuiling, Xiaohua Xin, & Qi‐Xian Shi. (1993). Inhibition of spermine on calcium influx during capacitation of guinea pig spermatozoa in vitro.. PubMed. 14(2). 141–4. 2 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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