Yi-Mi Wu

15.4k total citations · 3 hit papers
18 papers, 4.2k citations indexed

About

Yi-Mi Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yi-Mi Wu has authored 18 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Yi-Mi Wu's work include Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer-related molecular mechanisms research (3 papers). Yi-Mi Wu is often cited by papers focused on Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer-related molecular mechanisms research (3 papers). Yi-Mi Wu collaborates with scholars based in United States, United Kingdom and Taiwan. Yi-Mi Wu's co-authors include Xuhong Cao, Arul M. Chinnaiyan, Dan R. Robinson, Felix Y. Feng, Rohit Malik, Saravana M. Dhanasekaran, John R. Prensner, David G. Beer, Matthew K. Iyer and Udit Singhal and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Yi-Mi Wu

18 papers receiving 4.2k citations

Hit Papers

The landscape of long noncoding RNAs in the human transcr... 2014 2026 2018 2022 2015 2014 2018 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The landscape of long noncoding RNAs in the human transcriptome
    2015 2.1k citations Matthew K. Iyer, Yashar S. Niknafs et al. Nature Genetics profile →
  2. Therapeutic targeting of BET bromodomain proteins in castration-resistant prostate cancer
    2014 737 citations Irfan A. Asangani, Vijaya L. Dommeti et al. Nature profile →
  3. Inactivation of CDK12 Delineates a Distinct Immunogenic Class of Advanced Prostate Cancer
    2018 384 citations Yi-Mi Wu, Marcin Cieślik et al. Cell profile →

Peers

Yi-Mi Wu
Weng‐Onn Lui Sweden
Petar Stojanov United States
Andreas G. Niethammer United States
Christian P. Pallasch Germany
Ole Gjoerup United States
Adriano Piris United States
Brian Elenbaas United States
Jeffrey P. North United States
Toshiya Shinohara Japan
Wa Xian United States
Weng‐Onn Lui Sweden
Yi-Mi Wu
Citations per year, relative to Yi-Mi Wu Yi-Mi Wu (= 1×) peers Weng‐Onn Lui

Countries citing papers authored by Yi-Mi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Mi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Mi Wu. 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 Yi-Mi Wu. The network helps show where Yi-Mi Wu may publish in the future.

Co-authorship network of co-authors of Yi-Mi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Mi Wu. A scholar is included among the top collaborators of Yi-Mi Wu 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 Yi-Mi Wu. Yi-Mi Wu 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.
Hsu, Shu-Ching, Sheng-Yao Su, Min‐Lung Tsai, et al.. (2020). Index of Cancer-Associated Fibroblasts Is Superior to the Epithelial–Mesenchymal Transition Score in Prognosis Prediction. Cancers. 12(7). 1718–1718. 19 indexed citations
2.
Wu, Yi-Mi, Marcin Cieślik, Robert J. Lonigro, et al.. (2018). Inactivation of CDK12 Delineates a Distinct Immunogenic Class of Advanced Prostate Cancer. Cell. 173(7). 1770–1782.e14. 384 indexed citations breakdown →
3.
Davis, Elizabeth J., Yi-Mi Wu, Dan R. Robinson, et al.. (2017). Next generation sequencing of extraskeletal myxoid chondrosarcoma. Oncotarget. 8(13). 21770–21777. 17 indexed citations
4.
Sun, Yaping, Matthew K. Iyer, Richard C. McEachin, et al.. (2016). Genome-Wide STAT3 Binding Analysis after Histone Deacetylase Inhibition Reveals Novel Target Genes in Dendritic Cells. Journal of Innate Immunity. 9(2). 126–144. 9 indexed citations
5.
Koschmann, Carl, Daniel Zamler, Alan Mackay, et al.. (2016). Characterizing and targeting PDGFRA alterations in pediatric high-grade glioma. Oncotarget. 7(40). 65696–65706. 48 indexed citations
6.
Allen, Eliezer M. Van, Dan R. Robinson, Colm Morrissey, et al.. (2016). A comparative assessment of clinical whole exome and transcriptome profiling across sequencing centers: implications for precision cancer medicine. Oncotarget. 7(33). 52888–52899. 12 indexed citations
7.
Powell, Katelyn, Louie Semaan, M. Katie Conley‐LaComb, et al.. (2015). ERG/AKR1C3/AR Constitutes a Feed-Forward Loop for AR Signaling in Prostate Cancer Cells. Clinical Cancer Research. 21(11). 2569–2579. 64 indexed citations
8.
Harms, Paul W., Pankaj Vats, Monique Verhaegen, et al.. (2015). The Distinctive Mutational Spectra of Polyomavirus-Negative Merkel Cell Carcinoma. Cancer Research. 75(18). 3720–3727. 234 indexed citations
9.
Balbin, O. Alejandro, Rohit Malik, Saravana M. Dhanasekaran, et al.. (2015). The landscape of antisense gene expression in human cancers. Genome Research. 25(7). 1068–1079. 129 indexed citations
10.
Cieślik, Marcin, Rashmi Chugh, Yi-Mi Wu, et al.. (2015). The use of exome capture RNA-seq for highly degraded RNA with application to clinical cancer sequencing. Genome Research. 25(9). 1372–1381. 112 indexed citations
11.
Iyer, Matthew K., Yashar S. Niknafs, Rohit Malik, et al.. (2015). The landscape of long noncoding RNAs in the human transcriptome. Nature Genetics. 47(3). 199–208. 2058 indexed citations breakdown →
12.
Asangani, Irfan A., Vijaya L. Dommeti, Xiaoju Wang, et al.. (2014). Therapeutic targeting of BET bromodomain proteins in castration-resistant prostate cancer. Nature. 510(7504). 278–282. 737 indexed citations breakdown →
13.
Mehra, Rohit, Pankaj Vats, Shanker Kalyana‐Sundaram, et al.. (2014). Primary Urethral Clear-Cell Adenocarcinoma. American Journal Of Pathology. 184(3). 584–591. 38 indexed citations
14.
Kothari, Vishal, Sunita Shankar, Shanker Kalyana‐Sundaram, et al.. (2013). Outlier Kinase Expression by RNA Sequencing as Targets for Precision Therapy. Cancer Discovery. 3(3). 280–293. 29 indexed citations
15.
Asangani, Irfan A., Bushra Ateeq, Qi Cao, et al.. (2012). Characterization of the EZH2-MMSET Histone Methyltransferase Regulatory Axis in Cancer. Molecular Cell. 49(1). 80–93. 116 indexed citations
16.
Lonigro, Robert J., Catherine S. Grasso, Dan R. Robinson, et al.. (2011). Detection of Somatic Copy Number Alterations in Cancer Using Targeted Exome Capture Sequencing. Neoplasia. 13(11). 1019–IN21. 55 indexed citations
17.
Wu, Yi-Mi, et al.. (2009). Mucin Glycosylation Is Altered by Pro-Inflammatory Signaling in Pancreatic-Cancer Cells. Journal of Proteome Research. 8(4). 1876–1886. 71 indexed citations
18.
Huang, Chi‐Ying F., Yi-Mi Wu, Chiung‐Yueh Hsu, et al.. (2002). Caspase Activation of Mammalian Sterile 20-like Kinase 3 (Mst3). Journal of Biological Chemistry. 277(37). 34367–34374. 76 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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