Taylor Sittler

3.1k total citations · 1 hit paper
10 papers, 1.4k citations indexed

About

Taylor Sittler is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Taylor Sittler has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Taylor Sittler's work include BRCA gene mutations in cancer (2 papers), Bioinformatics and Genomic Networks (2 papers) and Nutrition, Genetics, and Disease (1 paper). Taylor Sittler is often cited by papers focused on BRCA gene mutations in cancer (2 papers), Bioinformatics and Genomic Networks (2 papers) and Nutrition, Genetics, and Disease (1 paper). Taylor Sittler collaborates with scholars based in United States, Canada and Mexico. Taylor Sittler's co-authors include Trey Ideker, Richard M. Karp, Roded Sharan, Silpa Suthram, Peter Uetz, Ryan Kelley, Scott McCuine, David E. Root, Brent R. Stockwell and Brian Kelley and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Taylor Sittler

10 papers receiving 1.4k citations

Hit Papers

Conserved patterns of protein interaction in multiple spe... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taylor Sittler United States 8 1.0k 238 175 123 120 10 1.4k
Yu‐Tsueng Liu United States 13 1.4k 1.4× 278 1.2× 268 1.5× 247 2.0× 309 2.6× 29 2.4k
Li C. Xue Netherlands 17 1.4k 1.4× 444 1.9× 339 1.9× 83 0.7× 123 1.0× 33 2.0k
Michael A. Calderwood United States 19 977 0.9× 136 0.6× 97 0.6× 184 1.5× 362 3.0× 28 1.7k
Juilee Thakar United States 20 752 0.7× 82 0.3× 116 0.7× 116 0.9× 192 1.6× 78 1.5k
Xiaogen Zhou China 24 1.1k 1.1× 264 1.1× 186 1.1× 145 1.2× 65 0.5× 82 1.9k
Vicente Arnau Spain 12 564 0.5× 94 0.4× 53 0.3× 104 0.8× 78 0.7× 37 1.0k
Gaston K. Mazandu South Africa 19 633 0.6× 217 0.9× 147 0.8× 132 1.1× 87 0.7× 53 1.0k
Nicole Baldwin United States 16 708 0.7× 60 0.3× 97 0.6× 336 2.7× 136 1.1× 27 1.4k
Bryn C. Taylor United States 9 914 0.9× 186 0.8× 454 2.6× 65 0.5× 90 0.8× 14 1.4k
Daniele Santoni Italy 13 542 0.5× 154 0.6× 55 0.3× 74 0.6× 31 0.3× 54 756

Countries citing papers authored by Taylor Sittler

Since Specialization
Citations

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

Fields of papers citing papers by Taylor Sittler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taylor Sittler

This figure shows the co-authorship network connecting the top 25 collaborators of Taylor Sittler. A scholar is included among the top collaborators of Taylor Sittler 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 Taylor Sittler. Taylor Sittler 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
1.
Hughes, J. Weston, Jeffrey E. Olgin, Robert Avram, et al.. (2021). Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation. JAMA Cardiology. 6(11). 1285–1285. 81 indexed citations
2.
Sittler, Taylor, et al.. (2017). Multi-gene panel testing for hereditary cancer predisposition in unsolved high-risk breast and ovarian cancer patients. Breast Cancer Research and Treatment. 163(2). 383–390. 59 indexed citations
3.
Walsh, Michael F., Pragna Gaddam, Laura DiGiovanni, et al.. (2016). Prospective registry of multiplex testing (PROMPT): A web-based platform to assess cancer risk of genetic variants.. Journal of Clinical Oncology. 34(15_suppl). 1518–1518. 1 indexed citations
4.
Haussler, David, David A. Patterson, Mark Diekhans, et al.. (2012). A Million Cancer Genome Warehouse. UC Berkeley. 7 indexed citations
5.
Shahinas, Dea, Michael Silverman, Taylor Sittler, et al.. (2012). Toward an Understanding of Changes in Diversity Associated with Fecal Microbiome Transplantation Based on 16S rRNA Gene Deep Sequencing. mBio. 3(5). 142 indexed citations
6.
Greninger, Alexander L., Eunice C. Chen, Taylor Sittler, et al.. (2010). A Metagenomic Analysis of Pandemic Influenza A (2009 H1N1) Infection in Patients from North America. PLoS ONE. 5(10). e13381–e13381. 135 indexed citations
7.
Sittler, Taylor, Jun Zhou, Stefanie Sarantopoulos, et al.. (2008). Concerted Potent Humoral Immune Responses to Autoantigens Are Associated with Tumor Destruction and Favorable Clinical Outcomes without Autoimmunity. Clinical Cancer Research. 14(12). 3896–3905. 24 indexed citations
8.
Sharan, Roded, Silpa Suthram, Ryan Kelley, et al.. (2005). Conserved patterns of protein interaction in multiple species. Proceedings of the National Academy of Sciences. 102(6). 1974–1979. 507 indexed citations breakdown →
9.
Suthram, Silpa, Taylor Sittler, & Trey Ideker. (2005). The Plasmodium protein network diverges from those of other eukaryotes. Nature. 438(7064). 108–112. 94 indexed citations
10.
Kelley, Brian, Roded Sharan, Richard M. Karp, et al.. (2003). Conserved pathways within bacteria and yeast as revealed by global protein network alignment. Proceedings of the National Academy of Sciences. 100(20). 11394–11399. 335 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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