Caroline Paccard

850 total citations
16 papers, 541 citations indexed

About

Caroline Paccard is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Caroline Paccard has authored 16 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Caroline Paccard's work include Colorectal Cancer Treatments and Studies (4 papers), Gene expression and cancer classification (4 papers) and Molecular Biology Techniques and Applications (3 papers). Caroline Paccard is often cited by papers focused on Colorectal Cancer Treatments and Studies (4 papers), Gene expression and cancer classification (4 papers) and Molecular Biology Techniques and Applications (3 papers). Caroline Paccard collaborates with scholars based in France, United States and Spain. Caroline Paccard's co-authors include Mickaël Guedj, Philippe Hupé, Emmanuel Barillot, Nicolas Servant, Marine Jeanmougin, Aurélien de Reyniès, Laëtitia Marisa, Grégory Nuel, Philippe Dessen and Lorenzo Galluzzi and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Caroline Paccard

16 papers receiving 536 citations

Peers

Caroline Paccard
Andrew D. Kelly United States
Xianlu L. Peng United States
Frank Rösel Germany
Angela Tam United States
Andrea Bisognin Italy
Maryann Mikhail United States
Shishan Deng China
Tianshui Sun China
Stephan Marquardt Germany
Laura Vízkeleti Hungary
Andrew D. Kelly United States
Caroline Paccard
Citations per year, relative to Caroline Paccard Caroline Paccard (= 1×) peers Andrew D. Kelly

Countries citing papers authored by Caroline Paccard

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Paccard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Paccard

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

All Works

16 of 16 papers shown
1.
Cutsem, Eric Van, Caroline Paccard, Marielle Chiron, & Josep Tabernero. (2019). Impact of Prior Bevacizumab Treatment on VEGF-A and PlGF Levels and Outcome Following Second-Line Aflibercept Treatment: Biomarker Post Hoc Analysis of the VELOUR Trial. Clinical Cancer Research. 26(3). 717–725. 37 indexed citations
2.
Gabay, Cem, Jérôme Msihid, Moshe Zilberstein, et al.. (2018). Identification of sarilumab pharmacodynamic and predictive markers in patients with inadequate response to TNF inhibition: a biomarker substudy of the phase 3 TARGET study. RMD Open. 4(1). e000607–e000607. 27 indexed citations
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Tabernero, Josep, et al.. (2017). Placental growth factor and the angiogenic environment based on analysis of baseline plasma biomarkers from the VELOUR trial.. Journal of Clinical Oncology. 35(4_suppl). 592–592. 6 indexed citations
7.
Damask, Amy, Anita Boyapati, Sara Hamon, et al.. (2017). FRI0228 Ugt1a1 genetic variants are associated with increases in bilirubin levels in rheumatoid arthritis patients treated with sarilumab. Annals of the Rheumatic Diseases. 76. 570–571. 2 indexed citations
8.
Bouaziz, Matthieu, Caroline Paccard, Mickaël Guedj, & Christophe Ambroise. (2012). SHIPS: Spectral Hierarchical Clustering for the Inference of Population Structure in Genetic Studies. PLoS ONE. 7(10). e45685–e45685. 14 indexed citations
9.
Galluzzi, Lorenzo, Ilio Vitale, Laura Senovilla, et al.. (2012). Independent transcriptional reprogramming and apoptosis induction by cisplatin. Cell Cycle. 11(18). 3472–3480. 24 indexed citations
10.
Ridinger-Saison, Maya, Valentina Boeva, Pauline Rimmelé, et al.. (2012). Spi-1/PU.1 activates transcription through clustered DNA occupancy in erythroleukemia. Nucleic Acids Research. 40(18). 8927–8941. 17 indexed citations
11.
Salliot, Carine, Cédric Lukas, Mickaël Guedj, et al.. (2011). PTPN22 R620W genotype-phenotype correlation analysis and gene-environment interaction study in early rheumatoid arthritis: results from the ESPOIR cohort. Lara D. Veeken. 50(10). 1802–1808. 15 indexed citations
12.
Paccard, Caroline, et al.. (2011). SMETHILLIUM: spatial normalization METHod for ILLumina InfinIUM HumanMethylation BeadChip. Bioinformatics. 27(12). 1693–1695. 7 indexed citations
13.
Galluzzi, Lorenzo, Eugenia Morselli, Ilio Vitale, et al.. (2010). miR-181a and miR-630 Regulate Cisplatin-Induced Cancer Cell Death. Cancer Research. 70(5). 1793–1803. 239 indexed citations
14.
Jeanmougin, Marine, et al.. (2010). Should we abandon the t-test in the analysis of gene expression microarray data: a comparison of variance modeling strategies. 2 indexed citations
15.
Jeanmougin, Marine, Aurélien de Reyniès, Laëtitia Marisa, et al.. (2010). Should We Abandon the t-Test in the Analysis of Gene Expression Microarray Data: A Comparison of Variance Modeling Strategies. PLoS ONE. 5(9). e12336–e12336. 103 indexed citations
16.
Servant, Nicolas, Eléonore Gravier, Pierre Gestraud, et al.. (2010). EMA - A R package for Easy Microarray data analysis. BMC Research Notes. 3(1). 277–277. 39 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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2026