Juliann Shih

171 total papers · 75.5k total citations
10 papers, 919 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 919 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, Noah F. Greenwald, Jesse S. Boehm, Coyin Oh, Todd R. Golub, Bang Wong, Yuen‐Yi Tseng and Uri Ben‐David and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Juliann Shih

10 papers receiving 910 citations

Hit Papers

Patient-derived xenograft... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Juliann Shih 391 359 301 143 121 10 919
Steven D. Mason 456 1.2× 320 0.9× 381 1.3× 57 0.4× 191 1.6× 9 1.0k
Leire Bejarano 594 1.5× 492 1.4× 276 0.9× 176 1.2× 79 0.7× 10 1.2k
Jenean O’Brien 351 0.9× 584 1.6× 227 0.8× 63 0.4× 55 0.5× 15 1.1k
Laurence Borge 422 1.1× 309 0.9× 263 0.9× 70 0.5× 67 0.6× 12 1.1k
Shinako Takimoto 386 1.0× 331 0.9× 356 1.2× 135 0.9× 37 0.3× 18 903
Camille Lehuédé 521 1.3× 529 1.5× 507 1.7× 57 0.4× 154 1.3× 9 1.2k
Michael Papetti 638 1.6× 171 0.5× 217 0.7× 70 0.5× 60 0.5× 11 967
Chiara Cavazzin 426 1.1× 379 1.1× 133 0.4× 115 0.8× 90 0.7× 9 818
Joerg D. Hoeck 526 1.3× 459 1.3× 189 0.6× 53 0.4× 45 0.4× 11 940
Eva–Maria Hedlund 701 1.8× 307 0.9× 330 1.1× 60 0.4× 87 0.7× 12 1.1k

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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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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