Jennifer Fairlie

9 papers and 429 indexed citations i.

About

Jennifer Fairlie is a scholar working on Physiology, Aging and Molecular Biology. According to data from OpenAlex, Jennifer Fairlie has authored 9 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Aging and 2 papers in Molecular Biology. Recurrent topics in Jennifer Fairlie’s work include Telomeres, Telomerase, and Senescence (9 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Molecular Biology Techniques and Applications (1 paper). Jennifer Fairlie is often cited by papers focused on Telomeres, Telomerase, and Senescence (9 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Molecular Biology Techniques and Applications (1 paper). Jennifer Fairlie collaborates with scholars based in United Kingdom, Canada and Australia. Jennifer Fairlie's co-authors include Daniel H. Nussey, Lea Harrington, Josephine M. Pemberton, Jill G. Pilkington, Sarah Underwood, Neil J. Gemmell, Duncan M. Baird, Christopher Turbill, Simon Verhulst and Winnie Boner and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecular Ecology.

In The Last Decade

Co-authorship network of co-authors of Jennifer Fairlie i

Fields of papers citing papers by Jennifer Fairlie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jennifer Fairlie

Since Specialization
Citations

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