Erin M. Conlon

About

Erin M. Conlon is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Erin M. Conlon has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Statistics and Probability. Recurrent topics in Erin M. Conlon’s work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Erin M. Conlon is often cited by papers focused on Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Erin M. Conlon collaborates with scholars based in United States, Japan and France. Erin M. Conlon's co-authors include Jun S. Liu, Patrick Eichenberger, Richard Losick, Jason D. Lieb, X. Shirley Liu, Tsutomu Sato, Masaya Fujita, Shane T. Jensen, Pablo J. Pomposiello and Jeffrey L. Blanchard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Co-authorship network of co-authors of Erin M. Conlon i

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Fields of papers citing papers by Erin M. Conlon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erin M. Conlon. 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 Erin M. Conlon. The network helps show where Erin M. Conlon may publish in the future.

Countries citing papers authored by Erin M. Conlon

Since Specialization

Citations

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