Christopher Plaisier
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
Papers in
-
- Bioinformatics and Genomic Networks 6
- Gene Regulatory Network Analysis 4
- CRISPR and Genetic Engineering 3
- Peroxisome Proliferator-Activated Receptors 3
- Single-cell and spatial transcriptomics 3
- Genetics 15
- Genetic Associations and Epidemiology 5
- Genetic Mapping and Diversity in Plants and Animals 5
- Glioma Diagnosis and Treatment 3
- Co-authors
- Nitin S. Baliga (13 shared papers)Gary N. Drews (1 shared paper)Dana Carroll (1 shared paper)Alan Lloyd (1 shared paper)Min Pan (4 shared papers)Aldons J. Lusis (5 shared papers)Steve Horvath (3 shared papers)Päivi Pajukanta (7 shared papers)
- Journals
- Nucleic Acids Research (4 papers)PLoS Genetics (3 papers)Molecular Systems Biology (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesMexicoFinland
In The Last Decade
Christopher Plaisier
41 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 344
- Molecular Biology 1.4k
- Aging 25
- Genetics 369
- Business and International Management 16
Countries citing papers authored by Christopher Plaisier
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
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-authors
The 25 scholars most cited alongside Christopher Plaisier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 336 | |
| 2 | 2005 | 281 | |
| 3 | 2012 | 151 | |
| 4 | 2009 | 127 | |
| 5 | 2016 | 110 | |
| 6 | 2010 | 86 | |
| 7 | 2016 | 72 | |
| 8 | 2020 | 64 | |
| 9 | 2008 | 56 | |
| 10 | 2019 | 53 | |
| 11 | 2006 | 53 | |
| 12 | 2012 | 52 | |
| 13 | 2014 | 48 | |
| 14 | 2007 | 46 | |
| 15 | 2014 | 45 | |
| 16 | 2023 | 34 | |
| 17 | 2022 | 34 | |
| 18 | 2011 | 33 | |
| 19 | 2015 | 29 | |
| 20 | 2021 | 28 |
About Christopher Plaisier
Christopher Plaisier is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Infectious Diseases, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Genetic Associations and Epidemiology (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Gene Regulatory Network Analysis (4 papers), CRISPR and Genetic Engineering (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Glioma Diagnosis and Treatment (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Cancer Research (344 citations), Molecular Biology (1.4k citations), Aging (25 citations), Genetics (369 citations) and Business and International Management (16 citations). Christopher Plaisier has collaborated with scholars based in United States, Mexico and Finland. Frequent co-authors include Nitin S. Baliga, Gary N. Drews, Dana Carroll, Alan Lloyd, Min Pan, Aldons J. Lusis, Steve Horvath, Päivi Pajukanta, Sudheer Doss and Thomas A. Drake. Their work appears in journals such as Nucleic Acids Research, PLoS Genetics, Molecular Systems Biology, Arteriosclerosis Thrombosis and Vascular Biology and Nature Communications.
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.