Andrew D. Rouillard

15.1k total citations · 2 hit papers
17 papers, 8.1k citations indexed

About

Andrew D. Rouillard is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Andrew D. Rouillard has authored 17 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Biomaterials. Recurrent topics in Andrew D. Rouillard's work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (5 papers) and Elasticity and Material Modeling (3 papers). Andrew D. Rouillard is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (5 papers) and Elasticity and Material Modeling (3 papers). Andrew D. Rouillard collaborates with scholars based in United States and United Kingdom. Andrew D. Rouillard's co-authors include Avi Ma’ayan, Nicolas Fernandez, Zichen Wang, Gregory W. Gundersen, Caroline D. Monteiro, Qiaonan Duan, Matthew R. Jones, Kathleen M. Jagodnik, Simon Koplev and Alexander Lachmann and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Journal of Physiology.

In The Last Decade

Andrew D. Rouillard

17 papers receiving 8.0k citations

Hit Papers

Enrichr: a comprehensive gene set enrichment analysis web... 2016 2026 2019 2022 2016 2016 2.0k 4.0k 6.0k

Peers

Andrew D. Rouillard
Sherry L. Jenkins United States
Nicolas Fernandez United States
Gregory W. Gundersen United States
Caroline D. Monteiro United States
Maxim V. Kuleshov United States
Kathleen M. Jagodnik United States
Anil G. Jegga United States
Simon Koplev United States
Olga Tanaseichuk United States
Sherry L. Jenkins United States
Andrew D. Rouillard
Citations per year, relative to Andrew D. Rouillard Andrew D. Rouillard (= 1×) peers Sherry L. Jenkins

Countries citing papers authored by Andrew D. Rouillard

Since Specialization
Citations

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

Fields of papers citing papers by Andrew D. Rouillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. Rouillard. 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 Andrew D. Rouillard. The network helps show where Andrew D. Rouillard may publish in the future.

Co-authorship network of co-authors of Andrew D. Rouillard

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

All Works

17 of 17 papers shown
1.
Rouillard, Andrew D., Mark R. Hurle, & Pankaj Agarwal. (2018). Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets. PLoS Computational Biology. 14(5). e1006142–e1006142. 21 indexed citations
2.
Duan, Qiaonan, St. Patrick Reid, Neil R. Clark, et al.. (2016). L1000CDS2: LINCS L1000 characteristic direction signatures search engine. npj Systems Biology and Applications. 2(1). 228 indexed citations
3.
Kuleshov, Maxim V., Matthew R. Jones, Andrew D. Rouillard, et al.. (2016). Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Research. 44(W1). W90–W97. 6065 indexed citations breakdown →
4.
Rouillard, Andrew D., Gregory W. Gundersen, Nicolas Fernandez, et al.. (2016). The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins. Database. 2016. baw100–baw100. 997 indexed citations breakdown →
5.
Wang, Zichen, Caroline D. Monteiro, Kathleen M. Jagodnik, et al.. (2016). Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 5. 10 indexed citations
6.
Fernandez, Nicolas, Gregory W. Gundersen, Qiaonan Duan, et al.. (2016). Clustergrammer: web-based heatmap visualization and analysis tool for high-dimensional biological data. Faculty of 1000 Research Ltd. 5. 10 indexed citations
7.
Rouillard, Andrew D., Zichen Wang, & Avi Ma’ayan. (2015). Reprint of “Abstraction for data integration: Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction”. Computational Biology and Chemistry. 59. 123–138. 10 indexed citations
8.
Gundersen, Gregory W., Matthew R. Jones, Andrew D. Rouillard, et al.. (2015). GEO2Enrichr: browser extension and server app to extract gene sets from GEO and analyze them for biological functions. Bioinformatics. 31(18). 3060–3062. 42 indexed citations
9.
Rouillard, Andrew D. & Jeffrey W. Holmes. (2014). Mechanical Boundary Conditions Bias Fibroblast Invasion in a Collagen-Fibrin Wound Model. Biophysical Journal. 106(4). 932–943. 17 indexed citations
10.
Duan, Qiaonan, Mario Niepel, Marc Hafner, et al.. (2014). LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures. Nucleic Acids Research. 42(W1). W449–W460. 209 indexed citations
11.
Rouillard, Andrew D. & Jeffrey W. Holmes. (2014). Coupled agent-based and finite-element models for predicting scar structure following myocardial infarction. Progress in Biophysics and Molecular Biology. 115(2-3). 235–243. 48 indexed citations
12.
Ma’ayan, Avi, Andrew D. Rouillard, Neil R. Clark, et al.. (2014). Lean Big Data integration in systems biology and systems pharmacology. Trends in Pharmacological Sciences. 35(9). 450–460. 67 indexed citations
13.
Duan, Qiaonan, Zichen Wang, Nicolas Fernandez, et al.. (2014). Drug/Cell-line Browser: interactive canvas visualization of cancer drug/cell-line viability assay datasets. Bioinformatics. 30(22). 3289–3290. 8 indexed citations
14.
Rouillard, Andrew D. & Jeffrey W. Holmes. (2012). Mechanical regulation of fibroblast migration and collagen remodelling in healing myocardial infarcts. The Journal of Physiology. 590(18). 4585–4602. 57 indexed citations
15.
Fomovsky, Gregory M., Andrew D. Rouillard, & Jeffrey W. Holmes. (2012). Regional mechanics determine collagen fiber structure in healing myocardial infarcts. Journal of Molecular and Cellular Cardiology. 52(5). 1083–1090. 94 indexed citations
16.
Rouillard, Andrew D., et al.. (2010). Methods for Photocrosslinking Alginate Hydrogel Scaffolds with High Cell Viability. Tissue Engineering Part C Methods. 17(2). 173–179. 163 indexed citations
17.
Rouillard, Andrew D., et al.. (2010). Control of the Electromechanical Properties of Alginate Hydrogels via Ionic and Covalent Cross-Linking and Microparticle Doping. Biomacromolecules. 11(8). 2184–2189. 7 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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