George C. Tseng

1.7k total citations
12 papers, 1.2k citations indexed

About

George C. Tseng is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, George C. Tseng has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Pharmacology. Recurrent topics in George C. Tseng's work include Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (7 papers) and Molecular Biology Techniques and Applications (7 papers). George C. Tseng is often cited by papers focused on Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (7 papers) and Molecular Biology Techniques and Applications (7 papers). George C. Tseng collaborates with scholars based in United States, France and Canada. George C. Tseng's co-authors include Eleanor Feingold, Debashis Ghosh, Etienne Sibille, Jia Li, Hui‐Min Lin, Lun‐Ching Chang, Naftali Kaminski, Dongwan Kang, Chi Song and Kui Shen and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Neuropsychopharmacology.

In The Last Decade

George C. Tseng

11 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George C. Tseng United States 10 887 237 124 67 58 12 1.2k
Ettore Mosca Italy 17 634 0.7× 115 0.5× 93 0.8× 70 1.0× 93 1.6× 48 1.0k
Carlos Alberto Vanegas Prieto Spain 20 865 1.0× 106 0.4× 116 0.9× 92 1.4× 43 0.7× 48 1.4k
Sipko van Dam Netherlands 9 736 0.8× 125 0.5× 119 1.0× 83 1.2× 63 1.1× 17 1.0k
Stanislav O. Zakharkin United States 20 689 0.8× 123 0.5× 117 0.9× 63 0.9× 65 1.1× 36 1.3k
Larry N. Singh United States 18 1.7k 1.9× 344 1.5× 322 2.6× 62 0.9× 41 0.7× 38 2.2k
Shiva Kumar India 8 670 0.8× 100 0.4× 130 1.0× 51 0.8× 85 1.5× 13 1.1k
Yulin Dai United States 17 600 0.7× 260 1.1× 139 1.1× 36 0.5× 42 0.7× 55 1.0k
Frank W. Pun Hong Kong 17 427 0.5× 178 0.8× 53 0.4× 38 0.6× 31 0.5× 38 817
Nikolai Daraselia United States 16 1.1k 1.2× 136 0.6× 141 1.1× 135 2.0× 63 1.1× 20 1.5k
Srikant Verma India 5 595 0.7× 105 0.4× 129 1.0× 38 0.6× 86 1.5× 5 891

Countries citing papers authored by George C. Tseng

Since Specialization
Citations

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

Fields of papers citing papers by George C. Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George C. Tseng. 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 George C. Tseng. The network helps show where George C. Tseng may publish in the future.

Co-authorship network of co-authors of George C. Tseng

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

All Works

12 of 12 papers shown
1.
Li, Yujia, Wenjia Wang, Wei Zong, et al.. (2024). Outcome-guided disease subtyping by generative model and weighted joint likelihood in transcriptomic applications. The Annals of Applied Statistics. 18(3). 1947–1964.
2.
Guilloux, Jean‐Philippe, Ying Ding, Chris A. Walsh, et al.. (2014). Testing the Predictive Value of Peripheral Gene Expression for Nonremission Following Citalopram Treatment for Major Depression. Neuropsychopharmacology. 40(3). 701–710. 53 indexed citations
3.
Chang, Lun‐Ching, Hui‐Min Lin, Etienne Sibille, & George C. Tseng. (2013). Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline. BMC Bioinformatics. 14(1). 368–368. 96 indexed citations
4.
Tseng, George C., Debashis Ghosh, & Eleanor Feingold. (2012). Comprehensive literature review and statistical considerations for microarray meta-analysis. Nucleic Acids Research. 40(9). 3785–3799. 376 indexed citations
5.
Kang, Dongwan, Etienne Sibille, Naftali Kaminski, & George C. Tseng. (2011). MetaQC: objective quality control and inclusion/exclusion criteria for genomic meta-analysis. Nucleic Acids Research. 40(2). e15–e15. 63 indexed citations
6.
Li, Jia & George C. Tseng. (2011). An adaptively weighted statistic for detecting differential gene expression when combining multiple transcriptomic studies. The Annals of Applied Statistics. 5(2A). 85 indexed citations
7.
Mi, Zhibao, Kui Shen, Nan Song, et al.. (2010). Module-based prediction approach for robust inter-study predictions in microarray data. Bioinformatics. 26(20). 2586–2593. 8 indexed citations
8.
Cheng, Chunrong, Kui Shen, Chi Song, Jianhua Luo, & George C. Tseng. (2009). Ratio adjustment and calibration scheme for gene-wise normalization to enhance microarray inter-study prediction. Bioinformatics. 25(13). 1655–1661. 17 indexed citations
9.
Tseng, George C., Chunrong Cheng, Yan Yu, et al.. (2009). Investigating Multi-cancer Biomarkers and Their Cross-predictability in the Expression Profiles of Multiple Cancer Types. Biomarker Insights. 4. BMI.S930–BMI.S930. 12 indexed citations
10.
Lu, Shuya, Jia Li, Chi Song, Kui Shen, & George C. Tseng. (2009). Biomarker detection in the integration of multiple multi-class genomic studies. Bioinformatics. 26(3). 333–340. 33 indexed citations
11.
Lin, Yan, George C. Tseng, Soo Yeon Cheong, et al.. (2008). Smarter clustering methods for SNP genotype calling. Bioinformatics. 24(23). 2665–2671. 16 indexed citations
12.
Tseng, George C.. (2001). Issues in cDNA microarray analysis: quality filtering, channel normalization, models of variations and assessment of gene effects. Nucleic Acids Research. 29(12). 2549–2557. 437 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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