Juliann Shih

74.8k total citations · 1 hit paper
10 papers, 930 citations indexed

About

Juliann Shih is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Juliann Shih has authored 10 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Physiology. Recurrent topics in Juliann Shih's work include Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Juliann Shih is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Juliann Shih collaborates with scholars based in United States, France and Germany. Juliann Shih's co-authors include Gavin Ha, Rameen Beroukhim, James M. McFarland, Coyin Oh, Uri Ben‐David, Jesse S. Boehm, Bang Wong, Noah F. Greenwald, Yuen‐Yi Tseng and Todd R. Golub and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Juliann Shih

10 papers receiving 921 citations

Hit Papers

align trajectories

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.

Patient-derived xenografts undergo mouse-specific tumor evolution

2017 517 citations Uri Ben‐David, Gavin Ha et al. Nature Genetics profile →

Peers

Countries citing papers authored by Juliann Shih

Since Specialization

Citations

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

Fields of papers citing papers by Juliann Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juliann Shih. 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 Juliann Shih. The network helps show where Juliann Shih may publish in the future.

Co-authorship network of co-authors of Juliann Shih

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Cancer aneuploidies are shaped primarily by effects on tumour fitness 2023 ·Nature ·Juliann Shih, Shahab Sarmashghi, (unknown), Shu Zhang, (unknown), (unknown), Michael S. Cuoco, Galen F. Gao, Liam F. Spurr, Ashton C. Berger, Gavin Ha, Verónica Rendo, Hui Shen, Matthew Meyerson, Andrew D. Cherniack, Alison M. Taylor, Rameen Beroukhim	46
2	Quantification of aneuploidy in targeted sequencing data using ASCETS 2020 ·Bioinformatics ·Liam F. Spurr, Mehdi Touat, Alison M. Taylor, Adrian M. Dubuc, Juliann Shih, David M. Meredith, (unknown), Matthew Meyerson, Keith L. Ligon, Andrew D. Cherniack, Yvonne Y. Li, Rameen Beroukhim	25
3	MS12.02 Genomic and Functional Approaches to Understanding Cancer Aneuploidy 2019 ·Journal of Thoracic Oncology ·Alison M. Taylor, Juliann Shih, Gavin Ha, Galen F. Gao, (unknown), Ashton C. Berger, Andrew D. Cherniack, Rameen Beroukhim, Matthew Meyerson	3
4	Somatic Superenhancer Duplications and Hotspot Mutations Lead to Oncogenic Activation of the KLF5 Transcription Factor 2017 ·Cancer Discovery ·Xiaoyang Zhang, Peter S. Choi, Joshua M. Francis, Galen F. Gao, Joshua D. Campbell, Aruna Ramachandran, Yoichiro Mitsuishi, Gavin Ha, Juliann Shih, Francisca Vázquez, Aviad Tsherniak, Alison M. Taylor, Jin Zhou, Zhong Wu, Ashton C. Berger, Marios Giannakis, William C. Hahn, Andrew D. Cherniack, Matthew Meyerson	85
5	Genomic Activation of PPARG Reveals a Candidate Therapeutic Axis in Bladder Cancer 2017 ·Cancer Research ·Jonathan T. Goldstein, Ashton C. Berger, Juliann Shih, Fujiko Duke, Laura Furst, David J. Kwiatkowski, Andrew D. Cherniack, Matthew Meyerson, Craig A. Strathdee	59
6	Patient-derived xenografts undergo mouse-specific tumor evolution breakdown → 2017 ·Nature Genetics ·Uri Ben‐David, Gavin Ha, Yuen‐Yi Tseng, Noah F. Greenwald, Coyin Oh, Juliann Shih, James M. McFarland, Bang Wong, Jesse S. Boehm, Rameen Beroukhim, Todd R. Golub	517
7	The genomic landscape of tuberous sclerosis complex 2017 ·Nature Communications ·Katie R. Martin, Wanding Zhou, Megan J. Bowman, Juliann Shih, Kit Sing Au, Kristin E. Dittenhafer‐Reed, (unknown), Julie Koeman, Daniel J. Weisenberger, Sandra Cottingham, Steven T. DeRoos, Orrin Devinsky, Mary E. Winn, Andrew D. Cherniack, Hui Shen, Hope Northrup, Darcy A. Krueger, Jeffrey P. MacKeigan	146
8	Abstract 3627: Validation of PPARG and RXRA as drivers of bladder cancer 2017 ·Cancer Research ·Jonathan T. Goldstein, Craig A. Strathdee, Fujiko Duke, Juliann Shih, Matthew Meyerson	1
9	Comparison of inter- and intraspecies variation in humans and fruit flies 2014 ·Genomics Data ·Juliann Shih, (unknown), Miguel A. Andrade‐Navarro	21
10	Mitochondrial Sirtuins as Therapeutic Targets for Age-Related Disorders 2013 ·Genes & Cancer ·Juliann Shih, Gizem Dönmez	27

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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