Chun‐Chao Wang

947 total citations
29 papers, 683 citations indexed

About

Chun‐Chao Wang is a scholar working on Molecular Biology, Oncology and Statistics and Probability. According to data from OpenAlex, Chun‐Chao Wang has authored 29 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Statistics and Probability. Recurrent topics in Chun‐Chao Wang's work include Cancer Cells and Metastasis (6 papers), Cellular Mechanics and Interactions (3 papers) and Optimal Experimental Design Methods (3 papers). Chun‐Chao Wang is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Cellular Mechanics and Interactions (3 papers) and Optimal Experimental Design Methods (3 papers). Chun‐Chao Wang collaborates with scholars based in Taiwan, United States and India. Chun‐Chao Wang's co-authors include Kevin A. Janes, Jason M. Haugh, Murat Cirit, Kristen A. Atkins, Sameer S. Bajikar, Chi‐Hsien Liu, Wei‐Chi Wu, Joan S. Brugge, Ching‐Fa Yao and Veerababurao Kavala and has published in prestigious journals such as Journal of Biological Chemistry, Nature Cell Biology and Nature Methods.

In The Last Decade

Chun‐Chao Wang

28 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chun‐Chao Wang Taiwan	13	407	122	98	83	79	29	683
Aneta Gandalovičová Czechia	7	295 0.7×	210 1.7×	176 1.8×	87 1.0×	41 0.5×	9	619
Kevin R. Kupcho United States	10	481 1.2×	104 0.9×	48 0.5×	51 0.6×	80 1.0×	22	707
Christopher M. Fife Australia	10	354 0.9×	171 1.4×	162 1.7×	133 1.6×	22 0.3×	14	699
Qian Guo China	14	710 1.7×	122 1.0×	100 1.0×	109 1.3×	59 0.7×	43	994
Fabio Gasparri Italy	16	479 1.2×	183 1.5×	49 0.5×	68 0.8×	74 0.9×	37	896
Teresa Valero Spain	13	358 0.9×	121 1.0×	60 0.6×	89 1.1×	158 2.0×	28	671
Vladimı́r Čermák Czechia	12	322 0.8×	172 1.4×	151 1.5×	66 0.8×	98 1.2×	18	631
Melissa Tran United States	9	414 1.0×	98 0.8×	54 0.6×	77 0.9×	28 0.4×	21	556
Amelia L. Parker Australia	12	441 1.1×	222 1.8×	239 2.4×	44 0.5×	91 1.2×	16	815
Erin A. Maine United States	7	237 0.6×	197 1.6×	100 1.0×	32 0.4×	19 0.2×	7	486

Countries citing papers authored by Chun‐Chao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Chun‐Chao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Chao Wang. 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 Chun‐Chao Wang. The network helps show where Chun‐Chao Wang may publish in the future.

Co-authorship network of co-authors of Chun‐Chao Wang

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

All Works

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20 of 20 papers shown

Nguyen, Tom C., Pei‐Yu Chen, Tsang‐Lang Lin, et al.. (2025). Intrinsic PDL1 Signaling Modulates TGFBI‐Mediated Growth Suppression in Lung Adenocarcinoma. Cancer Science. 116(10). 2737–2749.

Wang, Chun‐Chao, et al.. (2022). TGFBR3 supports anoikis through suppressing ATF4 signaling. Journal of Cell Science. 135(17). 3 indexed citations

Wang, Chun‐Chao, et al.. (2022). Detection of Cell Separation-Induced Gene Expression Through a Penalized Deconvolution Approach. Statistics in Biosciences. 15(3). 692–718. 1 indexed citations

Kumari, Monika, Chi‐Hsien Liu, Wei‐Chi Wu, & Chun‐Chao Wang. (2021). Gene delivery using layer-by-layer functionalized multi-walled carbon nanotubes: design, characterization, cell line evaluation. Journal of Materials Science. 56(11). 7022–7033. 11 indexed citations

Wang, Chun‐Chao. (2021). Metabolic Stress Adaptations Underlie Mammary Gland Morphogenesis and Breast Cancer Progression. Cells. 10(10). 2641–2641. 4 indexed citations

Pereira, Elizabeth, Christina Y. Lee, Lixin Wang, et al.. (2020). Sporadic activation of an oxidative stress–dependent NRF2-p53 signaling network in breast epithelial spheroids and premalignancies. Science Signaling. 13(627). 25 indexed citations

Liu, Chi‐Hsien, et al.. (2019). Encapsulating curcumin in ethylene diamine-β-cyclodextrin nanoparticle improves topical cornea delivery. Colloids and Surfaces B Biointerfaces. 186. 110726–110726. 47 indexed citations

Hwang, Yi-Ting, et al.. (2019). Joint modelling of longitudinal binary data and survival data. Journal of Applied Statistics. 46(13). 2357–2371. 1 indexed citations

Bajikar, Sameer S., et al.. (2017). Tumor-Suppressor Inactivation of GDF11 Occurs by Precursor Sequestration in Triple-Negative Breast Cancer. Developmental Cell. 43(4). 418–435.e13. 60 indexed citations

10.

Hwang, Yi‐Ting, et al.. (2015). Joint model of multiple longitudinal measures and a binary outcome: An application to predict orthostatic hypertension for subacute stroke patients. Biometrical Journal. 57(4). 661–675. 7 indexed citations

11.

Wang, Chun‐Chao, et al.. (2014). A time- and matrix-dependent TGFBR3–JUND–KRT5 regulatory circuit in single breast epithelial cells and basal-like premalignancies. Nature Cell Biology. 16(4). 345–356. 59 indexed citations

12.

Janes, Kevin A. & Chun‐Chao Wang. (2014). Bringing systems biology to cancer, immunology and infectious disease. Genome biology. 15(7). 407–407. 4 indexed citations

13.

Wang, Chun‐Chao. (2013). A MATLAB package for multivariate normality test. Journal of Statistical Computation and Simulation. 85(1). 166–188. 10 indexed citations

14.

Wang, Chun‐Chao, et al.. (2011). A Robust Estimation of the Proportion of True Null Hypotheses Based on a Beta Mixture Model. 49(2). 43–59. 1 indexed citations

15.

Wang, Chun‐Chao, et al.. (2011). Normal morphogenesis of epithelial tissues and progression of epithelial tumors. WIREs Systems Biology and Medicine. 4(1). 51–78. 42 indexed citations

16.

Cirit, Murat, Chun‐Chao Wang, & Jason M. Haugh. (2010). Systematic Quantification of Negative Feedback Mechanisms in the Extracellular Signal-regulated Kinase (ERK) Signaling Network. Journal of Biological Chemistry. 285(47). 36736–36744. 68 indexed citations

17.

Janes, Kevin A., et al.. (2010). Identifying single-cell molecular programs by stochastic profiling. Nature Methods. 7(4). 311–317. 83 indexed citations

18.

Weiger, Markus, Chun‐Chao Wang, Matej Krajcovic, et al.. (2009). Spontaneous phosphoinositide 3-kinase signaling dynamics drive spreading and random migration of fibroblasts. Journal of Cell Science. 122(3). 313–323. 66 indexed citations

19.

Tu, Zhijay, B. Rama Raju, Veerababurao Kavala, et al.. (2009). An efficient method for the synthesis of α-arylated nitroalkanes and α-arylated hydroximoyl chlorides mediated by AlCl3. Tetrahedron. 65(12). 2436–2442. 21 indexed citations

20.

Kuo, Chun-Wei, Chun‐Chao Wang, Veerababurao Kavala, & Ching‐Fa Yao. (2008). Efficient TCT-catalyzed Synthesis of 1,5-Benzodiazepine Derivatives under Mild Conditions. Molecules. 13(9). 2313–2325. 37 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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