Scooter Willis

1.8k total citations
27 papers, 874 citations indexed

About

Scooter Willis is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Scooter Willis has authored 27 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Scooter Willis's work include Bioinformatics and Genomic Networks (4 papers), Breast Cancer Treatment Studies (4 papers) and HER2/EGFR in Cancer Research (4 papers). Scooter Willis is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Breast Cancer Treatment Studies (4 papers) and HER2/EGFR in Cancer Research (4 papers). Scooter Willis collaborates with scholars based in United States, Netherlands and United Kingdom. Scooter Willis's co-authors include Brian Leyland‐Jones, Patrick R. Griffin, Bruce D. Pascal, Michael J. Chalmers, David Marciano, Rachelle R. Landgraf, Scott J. Novick, Janelle Lauer, Graham M. West and Devrishi Goswami and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

Scooter Willis

25 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scooter Willis United States 12 479 203 161 121 86 27 874
Ratna R. Thangudu United States 12 591 1.2× 90 0.4× 137 0.9× 113 0.9× 86 1.0× 15 803
Xiaojie Xu China 17 679 1.4× 165 0.8× 178 1.1× 66 0.5× 65 0.8× 54 1.1k
Judit Jané‐Valbuena United States 7 698 1.5× 226 1.1× 189 1.2× 132 1.1× 132 1.5× 11 958
Yupeng Zheng United States 18 1.1k 2.3× 138 0.7× 141 0.9× 133 1.1× 67 0.8× 31 1.3k
Zhixiang Wu China 12 963 2.0× 127 0.6× 139 0.9× 145 1.2× 34 0.4× 19 1.2k
Brinton Seashore‐Ludlow Sweden 20 649 1.4× 186 0.9× 104 0.6× 54 0.4× 56 0.7× 51 1.1k
Brittany Anderton United States 11 702 1.5× 194 1.0× 524 3.3× 77 0.6× 66 0.8× 14 1.0k
Stephan Gade Germany 13 857 1.8× 108 0.5× 324 2.0× 171 1.4× 131 1.5× 20 1.1k
Lei Xiong China 15 866 1.8× 202 1.0× 239 1.5× 59 0.5× 95 1.1× 41 1.3k
Stephanie Blencke Germany 9 706 1.5× 275 1.4× 71 0.4× 136 1.1× 131 1.5× 11 1.1k

Countries citing papers authored by Scooter Willis

Since Specialization
Citations

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

Fields of papers citing papers by Scooter Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scooter Willis

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

All Works

20 of 20 papers shown
1.
2.
Bonnal, Raoul J.P., Andrew Yates, N. Goto, et al.. (2019). Sharing Programming Resources Between Bio* Projects. Methods in molecular biology. 1910. 747–766. 3 indexed citations
3.
Willis, Scooter. (2018). The Maker Revolution. Computer. 51(3). 62–65. 11 indexed citations
4.
Meißner, Tobias, et al.. (2018). Abstract PD8-10: APOBEC mutation signature in breast cancer correlates with tumor mutation burden and poor responses to therapy. Cancer Research. 78(4_Supplement). PD8–10. 1 indexed citations
5.
Willis, Scooter. (2017). Stand on the Shoulders of Giants. Computer. 50(7). 99–102. 3 indexed citations
6.
Willis, Scooter, Gregory T. Byrd, & Brian D. Johnson. (2017). Challenge-Based Learning. Computer. 50(7). 13–16. 37 indexed citations
7.
Loi, Sherene, Urania Dafni, Dimitris Karlis, et al.. (2016). Effects of Estrogen Receptor and Human Epidermal Growth Factor Receptor-2 Levels on the Efficacy of Trastuzumab. JAMA Oncology. 2(8). 1040–1040. 65 indexed citations
8.
Willis, Scooter, Víctor M. Villalobos, Olivier Gevaert, et al.. (2016). Single Gene Prognostic Biomarkers in Ovarian Cancer: A Meta-Analysis. PLoS ONE. 11(2). e0149183–e0149183. 87 indexed citations
9.
Willis, Scooter, Pradip De, Nandini Dey, et al.. (2015). Enriched transcription factor signatures in triple negative breast cancer indicates possible targeted therapies with existing drugs. Meta Gene. 4. 129–141. 16 indexed citations
10.
Willis, Scooter, Brandon Young, Casey Williams, & B Leyland-Jones. (2015). C8A, a potential predictive marker of trastuzmab benefit, is associated with immunological signatures in MSigDB. Annals of Oncology. 26. iii15–iii15. 1 indexed citations
11.
Willis, Scooter, Brandon Young, Casey Williams, & Brian Leyland‐Jones. (2014). Low Expression of FGD3, a Putative Guanine Nucleotide Exchange Factor for CDC42, is Prognostic of Poor Outcome in Breast Cancer. Annals of Oncology. 25. i18–i18. 1 indexed citations
12.
Sieuwerts, Anieta M., Scooter Willis, Michael B. Burns, et al.. (2014). Elevated APOBEC3B Correlates with Poor Outcomes for Estrogen-Receptor-Positive Breast Cancers. Hormones and Cancer. 5(6). 405–413. 123 indexed citations
13.
Prins, Pjotr, N. Goto, Andrew Yates, et al.. (2012). Sharing Programming Resources Between Bio* Projects Through Remote Procedure Call and Native Call Stack Strategies. Methods in molecular biology. 856. 513–527. 1 indexed citations
14.
Pascal, Bruce D., Scooter Willis, Janelle Lauer, et al.. (2012). HDX Workbench: Software for the Analysis of H/D Exchange MS Data. Journal of the American Society for Mass Spectrometry. 23(9). 1512–1521. 227 indexed citations
15.
Willis, Scooter, Kathy D. Miller, Charles M. Perou, et al.. (2012). Association of a compact 13-gene VEGF signature with OS in E2100.. Journal of Clinical Oncology. 30(15_suppl). 1027–1027. 1 indexed citations
16.
Abramovitz, Mark, Benjamin G. Barwick, Scooter Willis, et al.. (2011). Molecular characterisation of formalin-fixed paraffin-embedded (FFPE) breast tumour specimens using a custom 512-gene breast cancer bead array-based platform. British Journal of Cancer. 105(10). 1574–1581. 17 indexed citations
17.
18.
Chalmers, Michael J., Bruce D. Pascal, Scooter Willis, et al.. (2010). Methods for the analysis of high precision differential hydrogen–deuterium exchange data. International Journal of Mass Spectrometry. 302(1-3). 59–68. 36 indexed citations
19.
Willis, Scooter. (2007). Protein CorreLogo. 71–80. 1 indexed citations
20.
McDermott, Seán D., Scooter Willis, & Joel Emery McCullough. (1999). The Evidential Value of Paint. Part II: A Bayesian Approach. Journal of Forensic Sciences. 44(2). 263–269. 11 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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