Yu-Wei Leu

1.2k total citations
19 papers, 967 citations indexed

About

Yu-Wei Leu is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Yu-Wei Leu has authored 19 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Genetics. Recurrent topics in Yu-Wei Leu's work include Epigenetics and DNA Methylation (13 papers), Cancer-related gene regulation (8 papers) and Genomics and Chromatin Dynamics (6 papers). Yu-Wei Leu is often cited by papers focused on Epigenetics and DNA Methylation (13 papers), Cancer-related gene regulation (8 papers) and Genomics and Chromatin Dynamics (6 papers). Yu-Wei Leu collaborates with scholars based in Taiwan, United States and United Kingdom. Yu-Wei Leu's co-authors include Pearlly S. Yan, Joseph C. Liu, Susan Wei, Kenneth P. Nephew, Farahnaz Rahmatpanah, Huidong Shi, Victor X. Jin, Christoph Plass, Ramana V. Davuluri and Meiyun Fan and has published in prestigious journals such as Molecular Cell, PLoS ONE and Cancer Research.

In The Last Decade

Yu-Wei Leu

19 papers receiving 952 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Wei Leu Taiwan 13 800 221 165 124 63 19 967
Alina Saiakhova United States 13 944 1.2× 173 0.8× 230 1.4× 109 0.9× 62 1.0× 13 1.1k
Peter C. Verlander United States 14 695 0.9× 255 1.2× 206 1.2× 132 1.1× 82 1.3× 18 921
Isabelle Tournier France 15 690 0.9× 323 1.5× 215 1.3× 114 0.9× 54 0.9× 20 1.0k
Richard C. Centore United States 12 1.0k 1.3× 200 0.9× 120 0.7× 164 1.3× 54 0.9× 17 1.1k
Luigi Aloia Italy 14 981 1.2× 168 0.8× 151 0.9× 105 0.8× 49 0.8× 17 1.2k
Caroline Braem Belgium 8 678 0.8× 216 1.0× 156 0.9× 99 0.8× 110 1.7× 10 928
Peter Lichter Germany 15 536 0.7× 210 1.0× 151 0.9× 164 1.3× 67 1.1× 17 781
Alexandra M Pietersen Netherlands 13 754 0.9× 224 1.0× 150 0.9× 271 2.2× 30 0.5× 19 978
Maria Marx France 14 604 0.8× 133 0.6× 119 0.7× 139 1.1× 55 0.9× 39 871
Brian Freie United States 15 588 0.7× 111 0.5× 155 0.9× 140 1.1× 30 0.5× 23 782

Countries citing papers authored by Yu-Wei Leu

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Wei Leu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Wei Leu. 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 Yu-Wei Leu. The network helps show where Yu-Wei Leu may publish in the future.

Co-authorship network of co-authors of Yu-Wei Leu

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

All Works

19 of 19 papers shown
1.
Chen, Chih‐Cheng, Yao-Li Chen, Kuan‐Der Lee, et al.. (2018). HIC1 and RassF1A Methylation Attenuates Tubulin Expression and Cell Stiffness in Cancer. International Journal of Molecular Sciences. 19(10). 2884–2884. 6 indexed citations
2.
Chen, Chih‐Cheng, Jrhau Lung, Cih‐En Huang, et al.. (2017). Aberrant let7a/HMGA2 signaling activity with unique clinical phenotype in JAK2 -mutated myeloproliferative neoplasms. Haematologica. 102(3). 509–518. 14 indexed citations
3.
Chen, Chih‐Cheng, et al.. (2017). JAK2V617F influences epigenomic changes in myeloproliferative neoplasms. Biochemical and Biophysical Research Communications. 494(3-4). 470–476. 2 indexed citations
4.
Chen, Yao-Li, Kuan‐Der Lee, Chia‐Chen Hsu, et al.. (2015). Methylation of the Tumor Suppressor Genes HIC1 and RassF1A Clusters Independently From the Methylation of Polycomb Target Genes in Colon Cancer. Annals of Surgical Oncology. 24(2). 578–585. 6 indexed citations
5.
Chen, Chih‐Cheng, Kuan‐Der Lee, Pei‐Yi Chu, et al.. (2015). Changes in DNA methylation are associated with the development of drug resistance in cervical cancer cells. Cancer Cell International. 15(1). 98–98. 40 indexed citations
6.
Chen, Yao-Li, Chia‐Chen Hsu, Pei‐Yi Chu, et al.. (2013). ENSA expression correlates with attenuated tumor propagation in liver cancer. Biochemical and Biophysical Research Communications. 442(1-2). 56–61. 8 indexed citations
7.
Wang, Rui, Adam Blattler, Yisong Wang, et al.. (2013). LOcating Non-Unique matched Tags (LONUT) to Improve the Detection of the Enriched Regions for ChIP-seq Data. PLoS ONE. 8(6). e67788–e67788. 12 indexed citations
8.
Chen, Yao-Li, et al.. (2012). Clustered DNA methylation changes in polycomb target genes in early-stage liver cancer. Biochemical and Biophysical Research Communications. 425(2). 290–296. 13 indexed citations
9.
Leu, Yu-Wei, et al.. (2012). Epigenetic Reprogramming of Mesenchymal Stem Cells. Advances in experimental medicine and biology. 754. 195–211. 16 indexed citations
10.
Lee, Kuan‐Der, Chia‐Chen Hsu, Chih‐Cheng Chen, et al.. (2012). Targeted Casp8AP2 methylation increases drug resistance in mesenchymal stem cells and cancer cells. Biochemical and Biophysical Research Communications. 422(4). 578–585. 10 indexed citations
11.
Hsu, Chia‐Chen, Yu-Wei Leu, Feng‐Sheng Wang, et al.. (2010). Targeted methylation of CMV and E1A viral promoters. Biochemical and Biophysical Research Communications. 402(2). 228–234. 62 indexed citations
12.
Lee, Kuan‐Der, Chia‐Chen Hsu, Min-Jen Tseng, et al.. (2010). DNA methylation of the Trip10 promoter accelerates mesenchymal stem cell lineage determination. Biochemical and Biophysical Research Communications. 400(3). 305–312. 38 indexed citations
13.
Huang, Tim H-M., et al.. (2009). Excavating relics of DNA methylation changes during the development of neoplasia. Seminars in Cancer Biology. 19(3). 198–208. 16 indexed citations
14.
Yang, Tsuey‐Ching, et al.. (2009). Flagellar Biogenesis of Xanthomonas campestris Requires the Alternative Sigma Factors RpoN2 and FliA and Is Temporally Regulated by FlhA, FlhB, and FlgM. Journal of Bacteriology. 191(7). 2266–2275. 49 indexed citations
15.
Yan, Pearlly S., Chinnambally Venkataramu, Ashraf E.K. Ibrahim, et al.. (2006). Mapping Geographic Zones of Cancer Risk with Epigenetic Biomarkers in Normal Breast Tissue. Clinical Cancer Research. 12(22). 6626–6636. 153 indexed citations
16.
Cheng, Alfred S.L., Victor X. Jin, Meiyun Fan, et al.. (2006). Combinatorial Analysis of Transcription Factor Partners Reveals Recruitment of c-MYC to Estrogen Receptor-α Responsive Promoters. Molecular Cell. 21(3). 393–404. 145 indexed citations
17.
Leu, Yu-Wei, Pearlly S. Yan, Meiyun Fan, et al.. (2004). Loss of Estrogen Receptor Signaling Triggers Epigenetic Silencing of Downstream Targets in Breast Cancer. Cancer Research. 64(22). 8184–8192. 153 indexed citations
18.
Leu, Yu-Wei, Farahnaz Rahmatpanah, Huidong Shi, et al.. (2003). Double RNA interference of DNMT3b and DNMT1 enhances DNA demethylation and gene reactivation.. PubMed. 63(19). 6110–5. 116 indexed citations
19.
Shi, Huidong, Susan Wei, Yu-Wei Leu, et al.. (2003). Triple analysis of the cancer epigenome: an integrated microarray system for assessing gene expression, DNA methylation, and histone acetylation.. PubMed. 63(9). 2164–71. 108 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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