Cai Huang

3.8k total citations · 1 hit paper
50 papers, 3.1k citations indexed

About

Cai Huang is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Cai Huang has authored 50 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 24 papers in Cell Biology and 18 papers in Immunology and Allergy. Recurrent topics in Cai Huang's work include Cellular Mechanics and Interactions (20 papers), Cell Adhesion Molecules Research (18 papers) and Ubiquitin and proteasome pathways (6 papers). Cai Huang is often cited by papers focused on Cellular Mechanics and Interactions (20 papers), Cell Adhesion Molecules Research (18 papers) and Ubiquitin and proteasome pathways (6 papers). Cai Huang collaborates with scholars based in United States, Finland and China. Cai Huang's co-authors include Ken Jacobson, Michael D. Schaller, Xi Zhan, Zenon Rajfur, Christoph H. Borchers, Christian C. Haudenschild, Jiali Liu, Tony T. Wang, John F. McDonald and Fredrik Vannberg and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Circulation.

In The Last Decade

Cai Huang

46 papers receiving 3.1k citations

Hit Papers

MAP kinases and cell migration 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cai Huang United States 25 1.8k 1.2k 722 466 369 50 3.1k
Leo Price Netherlands 30 2.3k 1.3× 1.1k 0.9× 685 0.9× 626 1.3× 314 0.9× 58 3.9k
Irwin H. Gelman United States 41 2.7k 1.5× 944 0.8× 447 0.6× 735 1.6× 506 1.4× 109 4.6k
Andrew D. Catling United States 29 2.4k 1.3× 843 0.7× 386 0.5× 664 1.4× 452 1.2× 41 3.4k
Ssang‐Taek Lim United States 34 2.1k 1.2× 1.6k 1.3× 1.9k 2.6× 743 1.6× 652 1.8× 56 3.9k
Yasuhisa Fukui Japan 35 3.4k 1.9× 1.1k 0.9× 366 0.5× 801 1.7× 310 0.8× 85 4.5k
Letizia Lanzetti Italy 26 2.2k 1.2× 1.4k 1.2× 233 0.3× 658 1.4× 443 1.2× 39 3.6k
François Houle Canada 26 3.0k 1.7× 794 0.7× 568 0.8× 570 1.2× 616 1.7× 38 4.1k
Peter J. Coopman France 23 1.5k 0.8× 613 0.5× 280 0.4× 460 1.0× 448 1.2× 51 2.3k
Jonathan M.J. Derry United States 25 2.1k 1.2× 1.1k 0.9× 720 1.0× 516 1.1× 424 1.1× 44 4.4k
Deborah H. Anderson Canada 24 2.8k 1.6× 780 0.7× 302 0.4× 732 1.6× 238 0.6× 59 3.9k

Countries citing papers authored by Cai Huang

Since Specialization
Citations

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

Fields of papers citing papers by Cai Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cai Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Cai Huang. A scholar is included among the top collaborators of Cai Huang 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 Cai Huang. Cai Huang 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.
Huang, Cai, et al.. (2025). Engineered Perfluorochemical Cancer-Derived Exosomes Loaded with Indocyanine Green and Camptothecin Provide Targeted Photochemotherapy for Effective Cancer Treatment. International Journal of Nanomedicine. Volume 20. 327–342. 5 indexed citations
2.
Baster, Zbigniew, Latifeh Azizi, Liqing Li, et al.. (2024). Talin2 binds to non-muscle myosin IIa and regulates cell attachment and fibronectin secretion. Scientific Reports. 14(1). 20175–20175. 2 indexed citations
3.
4.
Yang, Ri‐Yao, Su Huang, Cai Huang, et al.. (2023). Fc-competent multispecific PDL-1/TIGIT/LAG-3 antibodies potentiate superior anti-tumor T cell response. Scientific Reports. 13(1). 9865–9865. 15 indexed citations
5.
Dong, Jianbo, Sachith Gallolu Kankanamalage, Zhejun Jia, et al.. (2021). Biological activity validation of a computationally designed Rituximab/CD3 T cell engager targeting CD20+ cancers with multiple mechanisms of action. PubMed. 4(4). 228–241. 8 indexed citations
6.
Baster, Zbigniew, Liqing Li, Zenon Rajfur, & Cai Huang. (2020). Talin2 mediates secretion and trafficking of matrix metallopeptidase 9 during invadopodium formation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(7). 118693–118693. 7 indexed citations
7.
Huang, Cai, Lilya V. Matyunina, Laura McDonald, et al.. (2018). Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy. Scientific Reports. 8(1). 16444–16444. 125 indexed citations
8.
Rahikainen, Rolle, Lei Qi, Latifeh Azizi, et al.. (2017). Mechanical stability of talin rod controls cell migration and substrate sensing. Scientific Reports. 7(1). 3571–3571. 40 indexed citations
9.
Yuan, Yaxia, Liqing Li, Lei S. Qi, et al.. (2017). The molecular basis of talin2’s high affinity toward β1-integrin. Scientific Reports. 7(1). 41989–41989. 12 indexed citations
10.
Huang, Cai, Roman Mezencev, John F. McDonald, & Fredrik Vannberg. (2017). Open source machine-learning algorithms for the prediction of optimal cancer drug therapies. PLoS ONE. 12(10). e0186906–e0186906. 84 indexed citations
11.
Li, Liqing, Xiang Li, Lei S. Qi, et al.. (2017). The role of talin2 in breast cancer tumorigenesis and metastasis. Oncotarget. 8(63). 106876–106887. 15 indexed citations
12.
Li, Liqing, Wei Li, Lei S. Qi, et al.. (2016). p70S6K1 (S6K1)-mediated Phosphorylation Regulates Phosphatidylinositol 4-Phosphate 5-Kinase Type I γ Degradation and Cell Invasion. Journal of Biological Chemistry. 291(49). 25729–25741. 22 indexed citations
13.
Jafari, Naser, et al.. (2015). The Function of Ubiquitin Protein Ligase E3A and its Roles in Human Diseases. 1(1). 1 indexed citations
14.
Chen, Zaozao, Elizabeth C. Lessey, Matthew E. Berginski, et al.. (2013). Gleevec, an Abl Family Inhibitor, Produces a Profound Change in Cell Shape and Migration. PLoS ONE. 8(1). e52233–e52233. 11 indexed citations
15.
Wu, Zhaofei, et al.. (2011). PIPKIγ Regulates Focal Adhesion Dynamics and Colon Cancer Cell Invasion. PLoS ONE. 6(9). e24775–e24775. 43 indexed citations
16.
Huang, Cai. (2010). Roles of E3 ubiquitin ligases in cell adhesion and migration. Cell Adhesion & Migration. 4(1). 10–18. 61 indexed citations
17.
Huang, Cai, et al.. (2009). Talin phosphorylation by Cdk5 regulates Smurf1-mediated talin head ubiquitylation and cell migration. Nature Cell Biology. 11(5). 624–630. 168 indexed citations
18.
Loitto, Vesa, Cai Huang, Yury J. Sigal, & Ken Jacobson. (2007). Filopodia are induced by aquaporin-9 expression. Experimental Cell Research. 313(7). 1295–1306. 60 indexed citations
19.
Huang, Cai, Zenon Rajfur, Christoph H. Borchers, Michael D. Schaller, & Ken Jacobson. (2003). JNK phosphorylates paxillin and regulates cell migration. Nature. 424(6945). 219–223. 405 indexed citations
20.
Liu, Jiali, Cai Huang, & Xi Zhan. (1999). Src is required for cell migration and shape changes induced by fibroblast growth factor 1. Oncogene. 18(48). 6700–6706. 75 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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