Christopher Plaisier

42 papers and 1.8k indexed citations i.

About

Christopher Plaisier is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Christopher Plaisier has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 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 Canada. Christopher Plaisier's co-authors include Nitin S. Baliga, Dana Carroll, Alan Lloyd, Gary N. Drews, Min Pan, Aldons J. Lusis, Steve Horvath, Bin Zhang, Susanna Wang and Anatole Ghazalpour 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

Co-authorship network of co-authors of Christopher Plaisier i

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.

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).

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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2025