John Garner

3 papers and 282 indexed citations i.

About

John Garner is a scholar working on Molecular Biology, Genetics and Industrial relations. According to data from OpenAlex, John Garner has authored 3 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 0 papers in Industrial relations. Recurrent topics in John Garner’s work include Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genetic Associations and Epidemiology (1 paper). John Garner is often cited by papers focused on Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genetic Associations and Epidemiology (1 paper). John Garner collaborates with scholars based in United States and United Kingdom. John Garner's co-authors include Supriyo De, Kevin G. Becker, Lisa Skipper, John Lopez, Michael E. Maguire, Timothy Hefferon, Justin Paschall, Ilkka Lappalainen, Chao Chen and Paul Flicek and has published in prestigious journals such as Nucleic Acids Research, Physiological Genomics and BMC Medical Genomics.

In The Last Decade

Co-authorship network of co-authors of John Garner i

Fields of papers citing papers by John Garner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Garner

Since Specialization
Citations

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