Philippe Marc

1.2k total citations
18 papers, 864 citations indexed

About

Philippe Marc is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Philippe Marc has authored 18 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Genetics. Recurrent topics in Philippe Marc's work include Fungal and yeast genetics research (5 papers), Gene expression and cancer classification (5 papers) and Computational Drug Discovery Methods (4 papers). Philippe Marc is often cited by papers focused on Fungal and yeast genetics research (5 papers), Gene expression and cancer classification (5 papers) and Computational Drug Discovery Methods (4 papers). Philippe Marc collaborates with scholars based in France, Switzerland and United States. Philippe Marc's co-authors include Claude Jacq, Frédéric Devaux, Marisol Corral‐Debrinski, Corinne Blugeon, Antoine Margeot, Elisabetta Balzi, Patrick O. Brown, Joseph L. DeRisi, André Goffeau and Thierry Delaveau and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Philippe Marc

18 papers receiving 846 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Marc France 13 676 78 78 61 60 18 864
Guy Nimrod Israel 9 804 1.2× 83 1.1× 77 1.0× 110 1.8× 72 1.2× 13 1.0k
Jongwan Kim South Korea 13 246 0.4× 47 0.6× 57 0.7× 33 0.5× 60 1.0× 38 504
Nuria de Pedro Spain 19 571 0.8× 87 1.1× 139 1.8× 52 0.9× 30 0.5× 41 1.1k
Raamesh Deshpande United States 13 343 0.5× 73 0.9× 76 1.0× 28 0.5× 40 0.7× 17 584
Elizabeth Bilsland United Kingdom 14 446 0.7× 63 0.8× 79 1.0× 40 0.7× 91 1.5× 23 723
Jasna Ćurak Canada 10 484 0.7× 123 1.6× 65 0.8× 81 1.3× 42 0.7× 10 789
Yu‐Ching Lee Taiwan 18 387 0.6× 48 0.6× 40 0.5× 57 0.9× 64 1.1× 43 805
Steeve Véronneau Canada 12 473 0.7× 222 2.8× 72 0.9× 55 0.9× 71 1.2× 15 737
Ashok Kumar Patel India 17 573 0.8× 123 1.6× 96 1.2× 53 0.9× 52 0.9× 47 861
Aldo Segura‐Cabrera Mexico 15 215 0.3× 80 1.0× 76 1.0× 30 0.5× 40 0.7× 34 485

Countries citing papers authored by Philippe Marc

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Marc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Marc

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

All Works

18 of 18 papers shown
1.
Ferrero, Enrico, Sophie Brachat, Jeremy L. Jenkins, et al.. (2020). Ten simple rules to power drug discovery with data science. PLoS Computational Biology. 16(8). e1008126–e1008126. 10 indexed citations
2.
Sanz, Ferrán, Alexander Amberg, Lennart T. Anger, et al.. (2017). Generating Modeling Data From Repeat-Dose Toxicity Reports. Toxicological Sciences. 162(1). 287–300. 3 indexed citations
3.
Brown, Alan, et al.. (2016). Graphical display of histopathology data from toxicology studies for drug discovery and development: An industry perspective. Regulatory Toxicology and Pharmacology. 82. 167–172. 4 indexed citations
4.
Pognan, François, et al.. (2016). OntoBrowser: a collaborative tool for curation of ontologies by subject matter experts. Bioinformatics. 33(1). 148–149. 13 indexed citations
5.
Briggs, Katharine, Chris Barber, Montserrat Cases, Philippe Marc, & Thomas Steger‐Hartmann. (2014). Value of shared preclinical safety studies – The eTOX database. Toxicology Reports. 2. 210–221. 18 indexed citations
6.
Cases, Montserrat, Katharine Briggs, Thomas Steger‐Hartmann, et al.. (2014). The eTOX Data-Sharing Project to Advance in Silico Drug-Induced Toxicity Prediction. International Journal of Molecular Sciences. 15(11). 21136–21154. 44 indexed citations
7.
Staedtler, Frank, Nicole Hartmann, Martin Letzkus, et al.. (2013). Robust and tissue-independent gender-specific transcript biomarkers. Biomarkers. 18(5). 436–445. 27 indexed citations
8.
Nigsch, Florian, Eugen Lounkine, Patrick McCarren, et al.. (2011). Computational methods for early predictive safety assessment from biological and chemical data. Expert Opinion on Drug Metabolism & Toxicology. 7(12). 1497–1511. 16 indexed citations
9.
Lelandais, Gaëlle, Philippe Marc, Pierre Vincens, Claude Jacq, & Stéphane Vialette. (2004). MiCoViTo: a tool for gene-centric comparison and visualization of yeast transcriptome states. BMC Bioinformatics. 5(1). 20–20. 2 indexed citations
10.
Lucau‐Danila, Anca, et al.. (2003). A General Strategy to Uncover Transcription Factor Properties Identifies a New Regulator of Drug Resistance in Yeast. Journal of Biological Chemistry. 278(13). 11427–11432. 44 indexed citations
11.
Marc, Philippe, Antoine Margeot, Frédéric Devaux, et al.. (2002). Genome‐wide analysis of mRNAs targeted to yeast mitochondria. EMBO Reports. 3(2). 159–164. 253 indexed citations
12.
Crom, Stéphane Le, Frédéric Devaux, Philippe Marc, et al.. (2002). New Insights into the Pleiotropic Drug Resistance Network from Genome-Wide Characterization of the YRR1 Transcription Factor Regulation System. Molecular and Cellular Biology. 22(8). 2642–2649. 80 indexed citations
13.
Marc, Philippe & Claude Jacq. (2002). Arrayplot for visualization and normalization of cDNA microarray data. Bioinformatics. 18(6). 888–889. 7 indexed citations
14.
Devaux, Frédéric, Philippe Marc, Céline Bouchoux, et al.. (2001). An artificial transcription activator mimics the genome‐wide properties of the yeast Pdr1 transcription factor. EMBO Reports. 2(6). 493–498. 54 indexed citations
15.
Mercier, Guillaume, Yann Denis, Philippe Marc, L Picard, & Marie Dutreix. (2001). Transcriptional induction of repair genes during slowing of replication in irradiated Saccharomyces cerevisiae. Mutation Research/DNA Repair. 487(3-4). 157–172. 22 indexed citations
16.
Marc, Philippe. (2001). yMGV: a database for visualization and data mining of published genome-wide yeast expression data. Nucleic Acids Research. 29(13). 63e–63. 25 indexed citations
17.
Devaux, Frédéric, Philippe Marc, & Claude Jacq. (2001). Transcriptomes, transcription activators and microarrays. FEBS Letters. 498(2-3). 140–144. 20 indexed citations
18.
DeRisi, Joseph L., Philippe Marc, Elisabetta Balzi, et al.. (2000). Genome microarray analysis of transcriptional activation in multidrug resistance yeast mutants. FEBS Letters. 470(2). 156–160. 222 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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