Yuan-De Tan

409 total citations
20 papers, 315 citations indexed

About

Yuan-De Tan is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Yuan-De Tan has authored 20 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Yuan-De Tan's work include Gene expression and cancer classification (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and RNA modifications and cancer (4 papers). Yuan-De Tan is often cited by papers focused on Gene expression and cancer classification (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and RNA modifications and cancer (4 papers). Yuan-De Tan collaborates with scholars based in United States, China and Netherlands. Yuan-De Tan's co-authors include Hong‐Wen Deng, Lu Chen, Yufang Zhu, Zhonghuai Xiang, Shan X. Wang, Shaoping Deng, Shunyao Liao, Brandon J. Mannion, Wenzhong Song and Yunqiang Liu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Yuan-De Tan

20 papers receiving 314 citations

Peers

Yuan-De Tan

GENET

PPCH

Magda Carolina Sánchez Colombia

Kishlay Kumar India

Martin Štimpfel Slovenia

Lagabaiyila Zha China

Jingjing Jiang China

Roseanne Rosario United Kingdom

Sathiyanarayanan Manivannan United States

Eriko Shimada Japan

Juho‐Antti Mäkelä Finland

Erik Borgström Sweden

Magda Carolina Sánchez Colombia

Yuan-De Tan

126 ×1.0

64 ×1.0

GENET

62 ×1.0

81 ×1.4

13 ×0.3

PPCH

Citations per year, relative to Yuan-De Tan Yuan-De Tan (= 1×) peers Magda Carolina Sánchez

Countries citing papers authored by Yuan-De Tan

Since Specialization

Citations

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

Fields of papers citing papers by Yuan-De Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan-De Tan. 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 Yuan-De Tan. The network helps show where Yuan-De Tan may publish in the future.

Co-authorship network of co-authors of Yuan-De Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan-De Tan. A scholar is included among the top collaborators of Yuan-De Tan 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 Yuan-De Tan. Yuan-De Tan 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

Sharma, Gunjan, Tiffany Tran, Ruchi Bhardwaj, et al.. (2023). RNA binding protein IGF2BP1 synergizes with ETV6-RUNX1 to drive oncogenic signaling in B-cell Acute Lymphoblastic Leukemia. Journal of Experimental & Clinical Cancer Research. 42(1). 231–231. 11 indexed citations

Vellichirammal, Neetha Nanoth, Yuan-De Tan, James D. Eudy, et al.. (2023). The mutational landscape of a US Midwestern breast cancer cohort reveals subtype-specific cancer drivers and prognostic markers. Human Genomics. 17(1). 64–64. 2 indexed citations

Tan, Yuan-De. (2022). Two-sample t _α -test for testing hypotheses in small-sample experiments. The International Journal of Biostatistics. 19(1). 1–19. 1 indexed citations

Tan, Yuan-De & Chittibabu Guda. (2022). NBBt-test: a versatile method for differential analysis of multiple types of RNA-seq data. Scientific Reports. 12(1). 12833–12833. 1 indexed citations

Zhang, Chuantao, Man Jiang, Na Zhou, et al.. (2021). Use tumor suppressor genes as biomarkers for diagnosis of non-small cell lung cancer. Scientific Reports. 11(1). 3596–3596. 13 indexed citations

Tan, Yuan-De, et al.. (2020). In-depth Mendelian randomization analysis of causal factors for coronary artery disease. Scientific Reports. 10(1). 9208–9208. 12 indexed citations

Tan, Yuan-De. (2020). Recombination disequilibrium in ideal and natural populations. Genomics. 112(6). 3943–3950. 1 indexed citations

Tan, Yuan-De, Xiang H.-F. Zhang, & Qianxing Mo. (2017). New statistical methods for estimation of recombination fractions in F2 population. BMC Bioinformatics. 18(S11). 404–404. 1 indexed citations

Tan, Yuan-De, Jixin Deng, & Joel R. Neilson. (2015). RAX2: a genome-wide detection method of condition-associated transcription variation. Nucleic Acids Research. 43(15). e96–e96. 2 indexed citations

10.

Liao, Shunyao, Yunqiang Liu, Xiaojuan Chen, et al.. (2015). The Impact of Genetic Variants for Different Physiological Characterization of Type 2 Diabetes Loci on Gestational Insulin Signaling in Nondiabetic Pregnant Chinese Women. Reproductive Sciences. 22(11). 1421–1428. 11 indexed citations

11.

Tan, Yuan-De, et al.. (2015). A Powerful Statistical Approach for Large-Scale Differential Transcription Analysis. PLoS ONE. 10(4). e0123658–e0123658. 6 indexed citations

12.

Liao, Shunyao, Yunqiang Liu, Yuan-De Tan, et al.. (2014). Association of variants in CDKN2A/2B and CDKAL1 genes with gestational insulin sensitivity and disposition in pregnant Han Chinese women. Journal of Diabetes Investigation. 6(3). 295–301. 12 indexed citations

13.

Liao, Shunyao, Yunqiang Liu, Yuan-De Tan, et al.. (2012). Association of Genetic Variants of Melatonin Receptor 1B with Gestational Plasma Glucose Level and Risk of Glucose Intolerance in Pregnant Chinese Women. PLoS ONE. 7(7). e40113–e40113. 42 indexed citations

14.

Budworth, Helen, Antoine M. Snijders, Francesco Marchetti, et al.. (2012). DNA Repair and Cell Cycle Biomarkers of Radiation Exposure and Inflammation Stress in Human Blood. PLoS ONE. 7(11). e48619–e48619. 68 indexed citations

15.

Tan, Yuan-De. (2011). Work efficiency: A new criterion for comprehensive comparison and evaluation of statistical methods in large-scale identification of differentially expressed genes. Genomics. 98(5). 390–399. 2 indexed citations

16.

Tan, Yuan-De & Yin Liu. (2011). Comparison of methods for identifying differentially expressed genes across multiple conditions from microarray data. Bioinformation. 7(8). 400–404. 5 indexed citations

17.

Tan, Yuan-De. (2010). Ranking analysis of correlation coefficients in gene expressions. Genomics. 97(1). 58–68. 4 indexed citations

18.

Zhu, Haidong, Weili Yan, Yuan-De Tan, et al.. (2008). Adhesion Molecule Polymorphisms and Pulse Wave Velocity in American Youth. Twin Research and Human Genetics. 11(5). 517–523. 11 indexed citations

19.

Tan, Yuan-De & Myriam Fornage. (2007). Mapping functions. Genetica. 133(3). 235–246. 4 indexed citations

20.

Tan, Yuan-De, et al.. (2001). An Amplified Fragment Length Polymorphism Map of the Silkworm. Genetics. 157(3). 1277–1284. 106 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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