Jennifer Fairlie

597 total citations
9 papers, 435 citations indexed

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 435 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 Epigenetics and DNA Methylation (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 Epigenetics and DNA Methylation (1 paper). Jennifer Fairlie collaborates with scholars based in United Kingdom, Spain and Canada. Jennifer Fairlie's co-authors include Daniel H. Nussey, Lea Harrington, Jill G. Pilkington, Josephine M. Pemberton, Sarah Underwood, Mark F. Haussmann, Emma Barrett, Christopher Turbill, Sandrine Zahn and Neil J. Gemmell and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecular Ecology.

In The Last Decade

Jennifer Fairlie

9 papers receiving 432 citations

Peers

Jennifer Fairlie
Comparison fields: 5 of 55
  • Physiology 322
  • Ecology, Evolution, Behavior and Systematics 157
  • Aging 149
  • Ecology 90
  • Molecular Biology 61
Replace Rachael V. Wilbourn with:
Rachael V. Wilbourn United Kingdom
Joanna Sudyka Poland
Christopher Foote United Kingdom
Nataly Hidalgo Aranzamendi Australia
Michael J. Roast Australia
Darryl McLennan United Kingdom
Els Atema Netherlands
Michael Le Pepke Norway
Tsuneo Sekijima Japan
Miriam Popkes Germany
Rachael V. Wilbourn United Kingdom View profile →
Citations per field, relative to Jennifer Fairlie
Jennifer Fairlie · 1×
Citations per year, relative to Jennifer Fairlie
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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).

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.

Co-authorship network of co-authors of Jennifer Fairlie

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Fairlie. A scholar is included among the top collaborators of Jennifer Fairlie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer Fairlie. Jennifer Fairlie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 20
2 16
3 28
4 22
5 32
6 35
7 114
8 15
9 153

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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