Christopher Plaisier

10.1k total citations
43 papers, 1.9k citations indexed

About

Christopher Plaisier is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Christopher Plaisier has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Christopher Plaisier's work include Bioinformatics and Genomic Networks (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic Associations and Epidemiology (5 papers). Christopher Plaisier is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic Associations and Epidemiology (5 papers). Christopher Plaisier collaborates with scholars based in United States, Mexico and Finland. Christopher Plaisier's co-authors include Nitin S. Baliga, Alan Lloyd, Gary N. Drews, Dana Carroll, Min Pan, Aldons J. Lusis, Steve Horvath, Päivi Pajukanta, Susanna Wang and Eric E. Schadt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Christopher Plaisier

41 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Plaisier United States 21 1.4k 369 344 215 146 43 1.9k
Judith Jans Netherlands 27 1.3k 0.9× 243 0.7× 263 0.8× 159 0.7× 118 0.8× 100 2.1k
Ying Ni United States 25 1.2k 0.9× 277 0.8× 434 1.3× 95 0.4× 209 1.4× 114 2.1k
Manhong Dai United States 13 1.3k 1.0× 269 0.7× 301 0.9× 240 1.1× 90 0.6× 22 2.0k
Celia Pilar Martinez‐Jimenez Germany 15 1.1k 0.8× 289 0.8× 167 0.5× 140 0.7× 115 0.8× 27 1.6k
Nathan D. Trinklein United States 23 2.0k 1.5× 377 1.0× 330 1.0× 194 0.9× 66 0.5× 39 2.6k
Alexey A. Larionov United Kingdom 20 965 0.7× 547 1.5× 440 1.3× 136 0.6× 75 0.5× 49 2.0k
Nancy Mah Germany 21 1.5k 1.1× 247 0.7× 141 0.4× 91 0.4× 259 1.8× 51 2.0k
P. Alexander Rolfe United States 7 1.5k 1.1× 504 1.4× 165 0.5× 173 0.8× 456 3.1× 11 2.1k
Hyun‐Ju Kim South Korea 27 1.9k 1.4× 205 0.6× 272 0.8× 67 0.3× 109 0.7× 91 2.8k

Countries citing papers authored by Christopher Plaisier

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Plaisier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Plaisier

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

All Works

20 of 20 papers shown
1.
Plaisier, Christopher, et al.. (2024). Biomimetic nanodrug targets inflammation and suppresses YAP/TAZ to ameliorate atherosclerosis. Biomaterials. 306. 122505–122505. 17 indexed citations
2.
Newbern, Jason M., et al.. (2023). Single cell analysis reveals satellite cell heterogeneity for proinflammatory chemokine expression. Frontiers in Cell and Developmental Biology. 11. 1084068–1084068. 12 indexed citations
3.
Jang, Hyo Sang, Sebastián Bernales, Sarvajit Chakravarty, et al.. (2023). Suppression of Ah Receptor (AhR) increases the aggressiveness of TNBC cells and 11-Cl-BBQ-activated AhR inhibits their growth. Biochemical Pharmacology. 215. 115706–115706. 5 indexed citations
4.
Bowser, Robert, et al.. (2023). Molecular subtypes of ALS are associated with differences in patient prognosis. Nature Communications. 14(1). 95–95. 34 indexed citations
5.
Velazquez, Jeremy J., Farzaneh Moghadam, Yuqi Tan, et al.. (2020). Gene Regulatory Network Analysis and Engineering Directs Development and Vascularization of Multilineage Human Liver Organoids. Cell Systems. 12(1). 41–55.e11. 64 indexed citations
6.
Zhang, Li, Christopher Plaisier, Nathanael Pruett, et al.. (2019). Metadherin Is a Prognostic Apoptosis Modulator in Mesothelioma Induced via NF-κB-Mediated Signaling. Translational Oncology. 12(6). 859–870. 5 indexed citations
7.
Plaisier, Christopher, Brady Bernard, Sheila M. Reynolds, et al.. (2016). Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis. Cell Systems. 3(2). 172–186. 72 indexed citations
8.
Reiss, David J., et al.. (2015). cMonkey2: Automated, systematic, integrated detection of co-regulated gene modules for any organism. Nucleic Acids Research. 43(13). e87–e87. 29 indexed citations
9.
Peterson, Eliza J. R., David J. Reiss, Serdar Turkarslan, et al.. (2014). A high-resolution network model for global gene regulation in Mycobacterium tuberculosis. Nucleic Acids Research. 42(18). 11291–11303. 45 indexed citations
10.
Ashworth, J. R., Christopher Plaisier, Fang Yin Lo, David J. Reiss, & Nitin S. Baliga. (2014). Inference of Expanded Lrp-Like Feast/Famine Transcription Factor Targets in a Non-Model Organism Using Protein Structure-Based Prediction. PLoS ONE. 9(9). e107863–e107863. 3 indexed citations
11.
Ashworth, J. R., Brady Bernard, Sheila M. Reynolds, et al.. (2014). Structure-based predictions broadly link transcription factor mutations to gene expression changes in cancers. Nucleic Acids Research. 42(21). 12973–12983. 4 indexed citations
12.
Plaisier, Christopher, Min Pan, & Nitin S. Baliga. (2012). A miRNA-regulatory network explains how dysregulated miRNAs perturb oncogenic processes across diverse cancers. Genome Research. 22(11). 2302–2314. 151 indexed citations
13.
Plaisier, Christopher, J Christopher Bare, & Nitin S. Baliga. (2011). miRvestigator: web application to identify miRNAs responsible for co-regulated gene expression patterns discovered through transcriptome profiling. Nucleic Acids Research. 39(suppl). W125–W131. 22 indexed citations
14.
Romanoski, Casey E., Sangderk Lee, Michelle Kim, et al.. (2010). Systems Genetics Analysis of Gene-by-Environment Interactions in Human Cells. The American Journal of Human Genetics. 86(3). 399–410. 86 indexed citations
15.
Huertas‐Vázquez, Adriana, Christopher Plaisier, Ruishuang Geng, et al.. (2009). A nonsynonymous SNP within PCDH15 is associated with lipid traits in familial combined hyperlipidemia. Human Genetics. 127(1). 83–89. 18 indexed citations
16.
Presson, Angela P., Eric M. Sobel, Päivi Pajukanta, et al.. (2008). Merging microsatellite data: enhanced methodology and software to combine genotype data for linkage and association analysis. BMC Bioinformatics. 9(1). 317–317. 5 indexed citations
17.
Huertas‐Vázquez, Adriana, Christopher Plaisier, Daphna Weissglas‐Volkov, et al.. (2007). TCF7L2 is associated with high serum triacylglycerol and differentially expressed in adipose tissue in families with familial combined hyperlipidaemia. Diabetologia. 51(1). 62–69. 46 indexed citations
18.
Ghazalpour, Anatole, Sudheer Doss, Bin Zhang, et al.. (2006). Integrating Genetic and Network Analysis to Characterize Genes Related to Mouse Weight. PLoS Genetics. 2(8). e130–e130. 336 indexed citations
19.
Lloyd, Alan, Christopher Plaisier, Dana Carroll, & Gary N. Drews. (2005). Targeted mutagenesis using zinc-finger nucleases in Arabidopsis. Proceedings of the National Academy of Sciences. 102(6). 2232–2237. 281 indexed citations
20.
Ghazalpour, Anatole, Sudheer Doss, Bin Zhang, et al.. (2005). Integrating Genetic and Network Analysis to Characterize Genes Related to Mouse Weight. PLoS Genetics. preprint(2006). e130–e130. 16 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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