Renée Deehan

505 total citations
11 papers, 352 citations indexed

About

Renée Deehan is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Renée Deehan has authored 11 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Renée Deehan's work include Bioinformatics and Genomic Networks (3 papers), Computational Drug Discovery Methods (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Renée Deehan is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Computational Drug Discovery Methods (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Renée Deehan collaborates with scholars based in Switzerland, United States and Belgium. Renée Deehan's co-authors include Julia Hoeng, Manuel C. Peitsch, David A. Drubin, Ty M. Thomson, Emilija Veljkovic, Stephan Gebel, Carole Mathis, Jurjen W. Westra, Walter K. Schlage and David de Graaf and has published in prestigious journals such as PLoS ONE, Drug Discovery Today and Advances in experimental medicine and biology.

In The Last Decade

Renée Deehan

10 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renée Deehan Switzerland 10 232 81 56 48 34 11 352
Yuanming Lu China 8 262 1.1× 62 0.8× 50 0.9× 14 0.3× 22 0.6× 16 391
Hong Ni United States 9 244 1.1× 33 0.4× 34 0.6× 22 0.5× 38 1.1× 18 369
Pamela K. Ross United States 8 199 0.9× 39 0.5× 21 0.4× 37 0.8× 65 1.9× 9 421
Eva Denise Martin United Kingdom 13 301 1.3× 28 0.3× 70 1.3× 7 0.1× 35 1.0× 17 548
Bonnie V. Dougherty United States 9 243 1.0× 23 0.3× 27 0.5× 13 0.3× 26 0.8× 12 329
Jagannath Misra United States 13 223 1.0× 20 0.2× 50 0.9× 16 0.3× 39 1.1× 22 445
Ethan Stancliffe United States 10 339 1.5× 15 0.2× 46 0.8× 12 0.3× 100 2.9× 15 466
Alan D. Stern United States 10 157 0.7× 34 0.4× 11 0.2× 11 0.2× 33 1.0× 16 279
Michael Q. Ding United States 6 112 0.5× 53 0.7× 34 0.6× 4 0.1× 39 1.1× 9 290
Chun‐Tao Liu China 13 99 0.4× 43 0.5× 175 3.1× 9 0.2× 27 0.8× 42 433

Countries citing papers authored by Renée Deehan

Since Specialization
Citations

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

Fields of papers citing papers by Renée Deehan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renée Deehan

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

All Works

11 of 11 papers shown
1.
2.
Thomson, Ty M., Reynald Lescarbeau, David A. Drubin, et al.. (2015). Blood-based identification of non-responders to anti-TNF therapy in rheumatoid arthritis. BMC Medical Genomics. 8(1). 26–26. 29 indexed citations
3.
León, Héctor De, Stéphanie Boué, Walter K. Schlage, et al.. (2014). A vascular biology network model focused on inflammatory processes to investigate atherogenesis and plaque instability. Journal of Translational Medicine. 12(1). 185–185. 17 indexed citations
4.
Westra, Jurjen W., Walter K. Schlage, Arnd Hengstermann, et al.. (2013). A Modular Cell-Type Focused Inflammatory Process Network Model for Non-Diseased Pulmonary Tissue. Bioinformatics and Biology Insights. 7. BBI.S11509–BBI.S11509. 35 indexed citations
5.
Gebel, Stephan, Rosemarie B. Lichtner, Brian P. Frushour, et al.. (2013). Construction of a Computable Network Model for DNA Damage, Autophagy, Cell Death, and Senescence. Bioinformatics and Biology Insights. 7. BBI.S11154–BBI.S11154. 39 indexed citations
6.
Toedter, Gary, Katherine Li, Sarah Sague, et al.. (2012). Genes Associated with Intestinal Permeability in Ulcerative Colitis: Changes in Expression Following Infliximab Therapy. Inflammatory Bowel Diseases. 18(8). 1399–1410. 38 indexed citations
7.
Deehan, Renée, Natalie L. Catlett, Guido Steiner, et al.. (2012). Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes. PLoS ONE. 7(4). e35012–e35012. 18 indexed citations
8.
Laifenfeld, Daphna, David A. Drubin, Natalie L. Catlett, et al.. (2011). Early Patient Stratification and Predictive Biomarkers in Drug Discovery and Development. Advances in experimental medicine and biology. 736. 645–653. 16 indexed citations
9.
Schlage, Walter K., Jurjen W. Westra, Stephan Gebel, et al.. (2011). A computable cellular stress network model for non-diseased pulmonary and cardiovascular tissue. BMC Systems Biology. 5(1). 168–168. 51 indexed citations
10.
Westra, Jurjen W., Walter K. Schlage, Brian P. Frushour, et al.. (2011). Construction of a computable cell proliferation network focused on non-diseased lung cells. BMC Systems Biology. 5(1). 105–105. 45 indexed citations
11.
Hoeng, Julia, Renée Deehan, Dexter Pratt, et al.. (2011). A network-based approach to quantifying the impact of biologically active substances. Drug Discovery Today. 17(9-10). 413–418. 64 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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