Chen-Hsiang Yeang

503 total citations
10 papers, 333 citations indexed

About

Chen-Hsiang Yeang is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Chen-Hsiang Yeang has authored 10 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Chen-Hsiang Yeang's work include Cancer Genomics and Diagnostics (5 papers), Gene expression and cancer classification (3 papers) and Cancer Cells and Metastasis (2 papers). Chen-Hsiang Yeang is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Gene expression and cancer classification (3 papers) and Cancer Cells and Metastasis (2 papers). Chen-Hsiang Yeang collaborates with scholars based in Taiwan, United States and Switzerland. Chen-Hsiang Yeang's co-authors include Frank McCormick, Arnold J. Levine, Robert A. Beckman, Norman H. Lee, Charles Vaske, Carrie D. House, Truong Luu, Joshua M. Stuart, Bryan Frank and Henry Horng‐Shing Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The FASEB Journal.

In The Last Decade

Chen-Hsiang Yeang

9 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chen-Hsiang Yeang Taiwan	7	228	158	67	52	35	10	333
Arda Durmaz United States	10	145 0.6×	71 0.4×	66 1.0×	39 0.8×	37 1.1×	50	305
Ariosto Silva United States	5	132 0.6×	136 0.9×	77 1.1×	56 1.1×	37 1.1×	9	277
Epifanio Ruiz United States	6	137 0.6×	178 1.1×	91 1.4×	65 1.3×	47 1.3×	6	351
Thanos P. Mourikis United Kingdom	7	164 0.7×	150 0.9×	90 1.3×	54 1.0×	49 1.4×	9	318
Gowri Vijayaraghavan United Kingdom	5	257 1.1×	144 0.9×	100 1.5×	22 0.4×	17 0.5×	8	380
Benedict Anchang United States	7	253 1.1×	95 0.6×	122 1.8×	15 0.3×	19 0.5×	18	378
Daniel Temko United States	6	108 0.5×	97 0.6×	48 0.7×	46 0.9×	20 0.6×	7	198
Kent C. Osborne United States	5	107 0.5×	84 0.5×	180 2.7×	98 1.9×	60 1.7×	10	293
Dennise P. Calkins United States	7	208 0.9×	216 1.4×	80 1.2×	52 1.0×	66 1.9×	9	410
Dale A. Begley United States	9	225 1.0×	76 0.5×	70 1.0×	70 1.3×	39 1.1×	16	380

Countries citing papers authored by Chen-Hsiang Yeang

Since Specialization

Citations

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

Fields of papers citing papers by Chen-Hsiang Yeang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen-Hsiang Yeang. 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 Chen-Hsiang Yeang. The network helps show where Chen-Hsiang Yeang may publish in the future.

Co-authorship network of co-authors of Chen-Hsiang Yeang

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

All Works

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10 of 10 papers shown

He, Wei, Matthew McCoy, Rebecca B. Riggins, Robert A. Beckman, & Chen-Hsiang Yeang. (2025). Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms. npj Systems Biology and Applications. 11(1). 70–70. 1 indexed citations

Yeang, Chen-Hsiang, et al.. (2024). Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data. BMC Bioinformatics. 25(1). 209–209. 1 indexed citations

Yeang, Chen-Hsiang & Robert A. Beckman. (2016). Long range personalized cancer treatment strategies incorporating evolutionary dynamics. Biology Direct. 11(1). 56–56. 14 indexed citations

Yeang, Chen-Hsiang, Gwo‐Chin Ma, Jin‐Chung Shih, et al.. (2012). Genome-Wide Gene Expression Analysis Implicates the Immune Response and Lymphangiogenesis in the Pathogenesis of Fetal Chylothorax. PLoS ONE. 7(4). e34901–e34901. 10 indexed citations

Beckman, Robert A., et al.. (2012). Impact of genetic dynamics and single-cell heterogeneity on development of nonstandard personalized medicine strategies for cancer. Proceedings of the National Academy of Sciences. 109(36). 14586–14591. 74 indexed citations

Lu, Henry Horng‐Shing, et al.. (2012). Evolution of Domain Architectures and Catalytic Functions of Enzymes in Metabolic Systems. Genome Biology and Evolution. 4(9). 976–993. 6 indexed citations

Yeang, Chen-Hsiang. (2010). An integrated analysis of molecular aberrations in NCI-60 cell lines. BMC Bioinformatics. 11(1). 495–495. 7 indexed citations

Yeang, Chen-Hsiang. (2010). A Probabilistic Graphical Model of Quantum Systems. 649. 155–162. 2 indexed citations

Vaske, Charles, Carrie D. House, Truong Luu, et al.. (2009). A Factor Graph Nested Effects Model To Identify Networks from Genetic Perturbations. PLoS Computational Biology. 5(1). e1000274–e1000274. 28 indexed citations

10.

Yeang, Chen-Hsiang, Frank McCormick, & Arnold J. Levine. (2008). Combinatorial patterns of somatic gene mutations in cancer. The FASEB Journal. 22(8). 2605–2622. 190 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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