Ee-chun Cheng

1.1k total citations
18 papers, 766 citations indexed

About

Ee-chun Cheng is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ee-chun Cheng has authored 18 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ee-chun Cheng's work include CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (3 papers) and Neonatal Respiratory Health Research (3 papers). Ee-chun Cheng is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (3 papers) and Neonatal Respiratory Health Research (3 papers). Ee-chun Cheng collaborates with scholars based in United States, Italy and China. Ee-chun Cheng's co-authors include Haifan Lin, Diane S. Krause, Mei Zhong, Toshiaki Watanabe, Matthew J. Renda, Laura E. Niklason, Zhaodi Gong, Emanuela M. Bruscia, Stephan W. Morris and Sharon Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Ee-chun Cheng

18 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ee-chun Cheng United States 12 489 164 123 112 95 18 766
Crescenzio Francesco Minervini Italy 18 385 0.8× 58 0.4× 163 1.3× 187 1.7× 47 0.5× 56 761
Kiran Batta United Kingdom 16 853 1.7× 93 0.6× 63 0.5× 35 0.3× 68 0.7× 29 1.1k
Karen E. Brown United States 11 736 1.5× 144 0.9× 54 0.4× 31 0.3× 194 2.0× 16 1.1k
Purificación Catalina Spain 18 630 1.3× 22 0.1× 91 0.7× 197 1.8× 90 0.9× 31 997
Takashi Shimbo Japan 16 608 1.2× 43 0.3× 80 0.7× 97 0.9× 170 1.8× 42 1.0k
Anastasia Conti Italy 13 449 0.9× 56 0.3× 78 0.6× 132 1.2× 140 1.5× 17 653
Rocio Enriquez-Gasca United Kingdom 7 478 1.0× 103 0.6× 62 0.5× 24 0.2× 43 0.5× 7 627
Isabelle Lamrissi‐Garcia France 14 661 1.4× 28 0.2× 74 0.6× 138 1.2× 182 1.9× 20 907
Daishi Fujita Canada 14 304 0.6× 53 0.3× 46 0.4× 56 0.5× 145 1.5× 19 564
Yanyan Han China 12 291 0.6× 35 0.2× 137 1.1× 180 1.6× 35 0.4× 18 824

Countries citing papers authored by Ee-chun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ee-chun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ee-chun Cheng. 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 Ee-chun Cheng. The network helps show where Ee-chun Cheng may publish in the future.

Co-authorship network of co-authors of Ee-chun Cheng

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

All Works

18 of 18 papers shown
1.
Pietro, Caterina Di, Hasan Halit Öz, Ee-chun Cheng, et al.. (2024). Ezrin drives adaptation of monocytes to the inflamed lung microenvironment. Cell Death and Disease. 15(11). 864–864. 1 indexed citations
2.
Öz, Hasan Halit, Ee-chun Cheng, Caterina Di Pietro, et al.. (2022). Recruited monocytes/macrophages drive pulmonary neutrophilic inflammation and irreversible lung tissue remodeling in cystic fibrosis. Cell Reports. 41(11). 111797–111797. 40 indexed citations
3.
Pietro, Caterina Di, Hasan Halit Öz, Pingxia Zhang, et al.. (2022). Recruitment of monocytes primed to express heme oxygenase-1 ameliorates pathological lung inflammation in cystic fibrosis. Experimental & Molecular Medicine. 54(5). 639–652. 7 indexed citations
4.
Öz, Hasan Halit, Ee-chun Cheng, Caterina Di Pietro, et al.. (2022). Recruited Monocytes/Macrophages Drive Pulmonary Neutrophilic Inflammation and Irreversible Lung Tissue Remodeling in Cystic Fibrosis. SSRN Electronic Journal. 2 indexed citations
5.
Watanabe, Toshiaki, Ee-chun Cheng, Mei Zhong, & Haifan Lin. (2014). Retrotransposons and pseudogenes regulate mRNAs and lncRNAs via the piRNA pathway in the germline. Genome Research. 25(3). 368–380. 191 indexed citations
6.
Cheng, Ee-chun, Dongwan Kang, Zhong Wang, & Haifan Lin. (2014). PIWI Proteins Are Dispensable for Mouse Somatic Development and Reprogramming of Fibroblasts into Pluripotent Stem Cells. PLoS ONE. 9(9). e97821–e97821. 22 indexed citations
7.
Cheng, Ee-chun, et al.. (2013). Piwi Genes Are Dispensable for Normal Hematopoiesis in Mice. PLoS ONE. 8(8). e71950–e71950. 28 indexed citations
8.
Megyola, Cynthia M., Yuan Gao, Jijun Cheng, et al.. (2013). Dynamic Migration and Cell-Cell Interactions of Early Reprogramming Revealed by High-Resolution Time-Lapse Imaging. Stem Cells. 31(5). 895–905. 21 indexed citations
9.
Gao, Yuan, Elenoe C. Smith, Dai Fei Elmer Ker, et al.. (2012). Role of RhoA-Specific Guanine Exchange Factors in Regulation of Endomitosis in Megakaryocytes. Developmental Cell. 22(3). 573–584. 63 indexed citations
10.
Ma, Yinghong, Chunsheng Dong, Ee-chun Cheng, et al.. (2010). High-efficiency siRNA-based gene knockdown in human embryonic stem cells. RNA. 16(12). 2564–2569. 44 indexed citations
11.
Yu, Luyang, Weidong Ji, Haifeng Zhang, et al.. (2010). SENP1-mediated GATA1 deSUMOylation is critical for definitive erythropoiesis. The Journal of Cell Biology. 189(4). i12–i12. 1 indexed citations
12.
Yu, Luyang, Weidong Ji, Haifeng Zhang, et al.. (2010). SENP1-mediated GATA1 deSUMOylation is critical for definitive erythropoiesis. The Journal of Experimental Medicine. 207(6). 1183–1195. 67 indexed citations
13.
Cheng, Ee-chun, Qing Luo, Emanuela M. Bruscia, et al.. (2009). Role for MKL1 in megakaryocytic maturation. Blood. 113(12). 2826–2834. 51 indexed citations
14.
Gong, Zhaodi, et al.. (2008). Influence of Culture Medium on Smooth Muscle Cell Differentiation from Human Bone Marrow–Derived Mesenchymal Stem Cells. Tissue Engineering Part A. 15(2). 319–330. 74 indexed citations
15.
Ma, Xianyong, Matthew J. Renda, Lin Wang, et al.. (2007). Rbm15 Modulates Notch-Induced Transcriptional Activation and Affects Myeloid Differentiation. Molecular and Cellular Biology. 27(8). 3056–3064. 82 indexed citations
16.
Guo, Jian-Kan, Ee-chun Cheng, Lin Wang, et al.. (2007). The commonly used β-actin-GFP transgenic mouse strain develops a distinct type of glomerulosclerosis. Transgenic Research. 16(6). 829–834. 11 indexed citations
17.
Cheng, Ee-chun, Matthew J. Renda, Lin Wang, & Diane S. Krause. (2007). MKL1 Promotes Megakaryocytic Differentiation Via Stimulation of Serum Response Factor Target Genes.. Blood. 110(11). 871–871. 1 indexed citations
18.
Bruscia, Emanuela M., Ee-chun Cheng, Scott A. Weiner, et al.. (2006). Assessment of cystic fibrosis transmembrane conductance regulator (CFTR) activity in CFTR-null mice after bone marrow transplantation. Proceedings of the National Academy of Sciences. 103(8). 2965–2970. 60 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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