Juliann Shih

74.8k citations
10 papers · 930 indexed · 1 hit paper · h-index 8
Topics
Cancer Genomics and Diagnostics (4 papers)Epigenetics and DNA Methylation (2 papers)Peroxisome Proliferator-Activated Receptors (2 papers)

In The Last Decade

Juliann Shih

10 papers receiving 921 citations

Hit Papers

Patient-derived xenografts undergo mouse-specific tumor e...20172026202020232017100200300400500

Peers

Juliann Shih
Comparison fields: 5 of 77
  • Molecular Biology 396
  • Oncology 361
  • Cancer Research 303
  • Biomedical Engineering 144
  • Physiology 123
Replace Tuyen T. Dang with:
Tuyen T. Dang United States
Yunyuan V. Wang United States
A. J. A. Terzis Germany
Sergio Ménendez United Kingdom
Adam Skibinski United States
Demirkan Gursel United States
Mitchell E. Fane United States
Kimberly A. Hartwell United States
Amanda Linkous United States
Alvaro Avivar‐Valderas United States
Juliann Shih relative to Tuyen T. Dang United States Tuyen T. Dang's profile →
Citations per field
00.5×3.1×
Tuyen T. Dang · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1 46
2 25
3 3
4 85
5 59
6
Patient-derived xenografts undergo mouse-specific tumor evolutionbreakdown →
517
7 146
8 1
9 21
10 27

About Juliann Shih

Juliann Shih is a scholar working on Cancer Research, Geriatrics and Gerontology and Molecular Biology, having authored 10 papers that have together received 930 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cancer Research (303 citations), Oncology (361 citations) and Biotechnology (58 citations). Juliann Shih has collaborated with scholars based in United States, France and Germany. Frequent 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. Their work appears in journals such as Nature, Nature Communications and Nature Genetics.

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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