Kate Griffiths

96 papers receiving 2.1k citations

Kate Griffiths's Hit Papers

Telomere length in early life predicts lifespan 2012 · 576 citations
5760+4+9Years since publication100200300400500

Peers

Kate Griffiths
Comparison fields: 5 of 151
  • Aging 251
  • Physiology 627
  • Ecology, Evolution, Behavior and Systematics 448
  • Geochemistry and Petrology 129
  • Behavioral Neuroscience 68
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Countries citing papers authored by Kate Griffiths

Since Specialization
Citations

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

Fields of papers citing papers by Kate Griffiths

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kate Griffiths, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kate Griffiths Line = papers co-authored together Kate Griffiths links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Telomere length in early life predicts lifespan
Hit paper breakdown →
2012576
2 2009211
3 2009173
4
Immunocytochemical localization of estrogen receptor in human breast tissue.
198870
5
Determination of ovarian steroid hormone levels in saliva. An overview.
198766
6 200561
7 201457
8 201156
9 200653
10 196343
11 201043
12 196343
13 201741
14
Circadian rhythms of testosterone and cortisol in saliva: effects of activity-phase shifts and continuous daylight.
198341
15 196939
16 201537
17 201732
18 202030
19 202030
20 201928

About Kate Griffiths

Kate Griffiths is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Ecology and Physiology, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Hormonal and reproductive studies (12 papers), Groundwater flow and contamination studies (8 papers), Animal Behavior and Reproduction (7 papers), Telomeres, Telomerase, and Senescence (7 papers), Hormonal Regulation and Hypertension (6 papers), Reproductive Physiology in Livestock (6 papers) and Stress Responses and Cortisol (6 papers). The work is most often cited by research in Aging (251 citations), Physiology (627 citations), Ecology, Evolution, Behavior and Systematics (448 citations), Geochemistry and Petrology (129 citations) and Behavioral Neuroscience (68 citations). Kate Griffiths has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Pat Monaghan, Winnie Boner, Neil B. Metcalfe, Britt J. Heidinger, Jonathan D. Blount, John P. Bloomfield, Debbie Allen, J. K. Grant, E. A. Gault and Christopher Foote. Their work appears in journals such as Journal of Endocrinology, Biochemical Journal, Quarterly Journal of Engineering Geology and Hydrogeology, The Journal of Clinical Endocrinology & Metabolism and Proceedings of the Royal Society B Biological Sciences.

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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