Kuan Yan

728 total citations
23 papers, 373 citations indexed

About

Kuan Yan is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Kuan Yan has authored 23 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Biomedical Engineering and 6 papers in Oncology. Recurrent topics in Kuan Yan's work include 3D Printing in Biomedical Research (7 papers), Cellular Mechanics and Interactions (5 papers) and Cell Adhesion Molecules Research (5 papers). Kuan Yan is often cited by papers focused on 3D Printing in Biomedical Research (7 papers), Cellular Mechanics and Interactions (5 papers) and Cell Adhesion Molecules Research (5 papers). Kuan Yan collaborates with scholars based in Netherlands, United States and China. Kuan Yan's co-authors include Bob van de Water, Fons J. Verbeek, Leo Price, Sylvia E. Le Dévédec, Bram Herpers, Erik H.J. Danen, Marjo de Graauw, Yu Qin, Lisa Fredriksson and John H.N. Meerman and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Kuan Yan

18 papers receiving 364 citations

Peers

Kuan Yan
Dan Tse United States
Lidija Pestic‐Dragovich United States
Boris Troyanovsky United States
Lianghong Teng China
Marco Biondini Canada
LETÍCIA VITÓRIA DA SILVA SANTOS United States
Vicci L. Korman United States
Bridget Finnerty United States
Wies van Roosmalen Netherlands
Torsten Thalheim Germany
Dan Tse United States
Kuan Yan
Citations per year, relative to Kuan Yan Kuan Yan (= 1×) peers Dan Tse

Countries citing papers authored by Kuan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kuan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan Yan. A scholar is included among the top collaborators of Kuan Yan 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 Kuan Yan. Kuan Yan 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.
Fang, Jie, et al.. (2024). A new approach for bin packing problem using knowledge reuse and improved heuristic. Scientific Reports. 14(1). 31708–31708.
2.
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Yan, Kuan, et al.. (2023). SynAI: an AI-driven cancer drugs synergism prediction platform. Bioinformatics Advances. 3(1). vbad160–vbad160.
4.
Koedoot, Esmee, Marcel Smid, Peter Stoilov, et al.. (2021). Differential reprogramming of breast cancer subtypes in 3D cultures and implications for sensitivity to targeted therapy. Scientific Reports. 11(1). 7259–7259. 28 indexed citations
5.
Kroon, Cor D. de, Judith R. Kroep, Kuan Yan, et al.. (2020). 1199P Identification of patient specific immune therapy treatment sensitivity by ex vivo testing. Annals of Oncology. 31. S788–S788. 1 indexed citations
6.
Basten, Sander, Bram Herpers, Kuan Yan, Willemijn Vader, & Leo Price. (2018). Abstract LB-A09: Predicting PARPi sensitivity in patient derived ex vivo 3D tumor cultures. Molecular Cancer Therapeutics. 17(1_Supplement). LB–A09.
7.
Booij, Tijmen H., Wouter N. Leonhard, Kuan Yan, et al.. (2017). High-Throughput Phenotypic Screening of Kinase Inhibitors to Identify Drug Targets for Polycystic Kidney Disease. SLAS DISCOVERY. 22(8). 974–984. 35 indexed citations
8.
Roovers, Rob C., Bram Herpers, Mark I. James, et al.. (2017). Abstract 32: Preclinical evaluation of MCLA-158: A bispecific antibody targeting LGR5 and EGFR using patient-derived colon carcinoma organoids. Cancer Research. 77(13_Supplement). 32–32. 4 indexed citations
9.
Balcıoğlu, Hayri E., et al.. (2016). Cellular adhesome screen identifies critical modulators of focal adhesion dynamics, cellular traction forces and cell migration behaviour. Scientific Reports. 6(1). 31707–31707. 37 indexed citations
10.
Cao, Lu, et al.. (2016). Hierarchical classification strategy for Phenotype extraction from epidermal growth factor receptor endocytosis screening. BMC Bioinformatics. 17(1). 196–196. 1 indexed citations
11.
Booij, Tijmen H., Kuan Yan, Csaba Szántai-Kis, et al.. (2016). Development of a 3D Tissue Culture–Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases. SLAS DISCOVERY. 21(9). 912–922. 18 indexed citations
12.
Sandercock, Alan M., Sandrine Guillard, Kris F. Sachsenmeier, et al.. (2015). Identification of anti-tumour biologics using primary tumour models, 3-D phenotypic screening and image-based multi-parametric profiling. Molecular Cancer. 14(1). 147–147. 35 indexed citations
13.
Graauw, Marjo de, Lu Cao, Sylvia E. Le Dévédec, et al.. (2013). Annexin A2 depletion delays EGFR endocytic trafficking via cofilin activation and enhances EGFR signaling and metastasis formation. Oncogene. 33(20). 2610–2619. 46 indexed citations
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Dévédec, Sylvia E. Le, Bart Geverts, Hans de Bont, et al.. (2012). The residence time of focal adhesion kinase (FAK) and paxillin at focal adhesions in renal epithelial cells is determined by adhesion size, strength and life cycle status.. Journal of Cell Science. 125(Pt 19). 4498–506. 26 indexed citations
16.
Herpers, Bram, Lisa Fredriksson, Kuan Yan, et al.. (2012). Automated Analysis of NF-κB Nuclear Translocation Kinetics in High-Throughput Screening. PLoS ONE. 7(12). e52337–e52337. 29 indexed citations
17.
Damiano, Laura, Sylvia E. Le Dévédec, Daniele Repetto, et al.. (2011). p140Cap suppresses the invasive properties of highly metastatic MTLn3-EGFR cells via impaired cortactin phosphorylation. Oncogene. 31(5). 624–633. 16 indexed citations
18.
Qin, Yu, Geurt Stokman, Kuan Yan, et al.. (2011). cAMP signalling protects proximal tubular epithelial cells from cisplatin‐induced apoptosis via activation of Epac. British Journal of Pharmacology. 165(4b). 1137–1150. 31 indexed citations
19.
Dévédec, Sylvia E. Le, Kuan Yan, Hans de Bont, et al.. (2010). Systems microscopy approaches to understand cancer cell migration and metastasis. Cellular and Molecular Life Sciences. 67(19). 3219–3240. 27 indexed citations
20.
Yan, Kuan, Fons J. Verbeek, Sylvia E. Le Dévédec, & Bob van de Water. (2009). CELL TRACKING AND DATA ANALYSIS OF IN VITRO TUMOUR CELLS FROM TIME-LAPSE IMAGE SEQUENCES. 281–286. 4 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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