Patrick E. Meyer

1.9k total citations
18 papers, 1.3k citations indexed

About

Patrick E. Meyer is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Patrick E. Meyer has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Patrick E. Meyer's work include Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (8 papers) and Gene expression and cancer classification (8 papers). Patrick E. Meyer is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (8 papers) and Gene expression and cancer classification (8 papers). Patrick E. Meyer collaborates with scholars based in Germany, Belgium and United States. Patrick E. Meyer's co-authors include Gianluca Bontempi, Frédéric Lafitte, Kevin Kontos, Colas Schretter, Catharina Olsen, Daniel Marbach, Manolis Kellis, Sushmita Roy, Christopher A. Bristow and Tamer Kahveci and has published in prestigious journals such as SHILAP Revista de lepidopterología, Development and Genome Research.

In The Last Decade

Patrick E. Meyer

18 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick E. Meyer Germany 12 954 196 118 108 81 18 1.3k
Xuewen Chen United States 20 1.2k 1.2× 196 1.0× 94 0.8× 53 0.5× 171 2.1× 42 1.9k
Steven Wang United States 16 342 0.4× 139 0.7× 62 0.5× 32 0.3× 48 0.6× 40 1.0k
Cosmin Lazar Belgium 10 1.0k 1.1× 277 1.4× 80 0.7× 143 1.3× 71 0.9× 21 1.6k
Zhiping Tan China 21 487 0.5× 198 1.0× 229 1.9× 98 0.9× 100 1.2× 109 1.2k
Huiqing Liu China 14 1.1k 1.2× 174 0.9× 60 0.5× 81 0.8× 69 0.9× 29 1.5k
Rebecka Jörnsten Sweden 19 753 0.8× 127 0.6× 92 0.8× 66 0.6× 44 0.5× 44 1.4k
Sung‐Joon Park South Korea 22 828 0.9× 99 0.5× 101 0.9× 31 0.3× 53 0.7× 116 1.4k
Alain Coletta Belgium 9 760 0.8× 266 1.4× 90 0.8× 125 1.2× 51 0.6× 12 1.2k
Richard C. McEachin United States 20 661 0.7× 89 0.5× 142 1.2× 100 0.9× 21 0.3× 30 1.2k
KiYoung Lee South Korea 15 749 0.8× 449 2.3× 380 3.2× 84 0.8× 45 0.6× 23 1.5k

Countries citing papers authored by Patrick E. Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Patrick E. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick E. Meyer. 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 Patrick E. Meyer. The network helps show where Patrick E. Meyer may publish in the future.

Co-authorship network of co-authors of Patrick E. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick E. Meyer. A scholar is included among the top collaborators of Patrick E. Meyer 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 Patrick E. Meyer. Patrick E. Meyer 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.
Meyer, Patrick E., Pallab Maity, Andreas Burkovski, et al.. (2017). A model of the onset of the senescence associated secretory phenotype after DNA damage induced senescence. PLoS Computational Biology. 13(12). e1005741–e1005741. 58 indexed citations
2.
Singh, Karmveer, Linda Krug, Abhijit Basu, et al.. (2017). Alpha-Ketoglutarate Curbs Differentiation and Induces Cell Death in Mesenchymal Stromal Precursors with Mitochondrial Dysfunction. Stem Cells. 35(7). 1704–1718. 28 indexed citations
3.
Tasdogan, Alpaslan, et al.. (2017). Nipped-A regulates intestinal stem cell proliferation in Drosophila. Development. 144(4). 612–623. 9 indexed citations
4.
Singh, Karmveer, Pallab Maity, Linda Krug, et al.. (2014). Superoxide anion radicals induce IGF ‐1 resistance through concomitant activation of PTP 1 B and PTEN. EMBO Molecular Medicine. 7(1). 59–77. 35 indexed citations
5.
Meyer, Patrick E., et al.. (2012). STR-typing of ancient skeletal remains: which multiplex-PCR kit is the best?. Croatian Medical Journal. 53(5). 416–422. 11 indexed citations
6.
Kayed, Hany, Patrick E. Meyer, Yong He, et al.. (2012). Evaluation of the Metabolic Response to Cyclopamine Therapy in Pancreatic Cancer Xenografts Using a Clinical PET-CT System. Translational Oncology. 5(5). 335–343. 11 indexed citations
7.
Marbach, Daniel, Sushmita Roy, Ferhat Ay, et al.. (2012). Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks. Genome Research. 22(7). 1334–1349. 89 indexed citations
8.
9.
Schwark, Thorsten, et al.. (2012). The SNPforID Assay as a Supplementary Method in Kinship and Trace Analysis. Transfusion Medicine and Hemotherapy. 39(3). 187–193. 21 indexed citations
10.
Meyer, Patrick E., Daniel Marbach, Sushmita Roy, & Manolis Kellis. (2010). Information-Theoretic Inference of Gene Networks Using Backward Elimination. Open Repository and Bibliography (University of Liège). 700–705. 34 indexed citations
11.
Bontempi, Gianluca & Patrick E. Meyer. (2010). Causal filter selection in microarray data. Open Repository and Bibliography (University of Liège). 95–102. 27 indexed citations
12.
Olsen, Catharina, Patrick E. Meyer, & Gianluca Bontempi. (2009). On the Impact of Entropy Estimation on Transcriptional Regulatory Network Inference Based on Mutual Information. PubMed. 2009. 1–9. 56 indexed citations
13.
Meyer, Patrick E., Frédéric Lafitte, & Gianluca Bontempi. (2008). minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information. BMC Bioinformatics. 9(1). 461–461. 370 indexed citations
14.
Meyer, Patrick E.. (2008). Information-Theoretic Variable Selection and Network Inference from Microarray Data. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 34 indexed citations
15.
Meyer, Patrick E., Colas Schretter, & Gianluca Bontempi. (2008). Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity. IEEE Journal of Selected Topics in Signal Processing. 2(3). 261–274. 209 indexed citations
16.
Olsen, Catharina, Patrick E. Meyer, & Gianluca Bontempi. (2008). On the impact of entropy estimator in transcriptional regulatory network inference. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 11 indexed citations
17.
Meyer, Patrick E., Kevin Kontos, Frédéric Lafitte, & Gianluca Bontempi. (2007). Information-Theoretic Inference of Large Transcriptional Regulatory Networks. SHILAP Revista de lepidopterología. 2007. 1–9. 299 indexed citations
18.
Meyer, Patrick E., Kevin Kontos, & Gianluca Bontempi. (2007). Biological Network Inference Using Redundancy Analysis. Lecture notes in computer science. 16–27. 3 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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