Kate Griffiths

8.0k citations
99 papers · 2.2k indexed · 1 hit paper · h-index 23

Kate Griffiths

94 papers receiving 2.1k citations

Hit Papers

Telomere length in early life predicts lifespan20122026201620212012100200300400500

Peers

Kate Griffiths
Comparison fields: 5 of 153
  • Physiology 596
  • Ecology, Evolution, Behavior and Systematics 429
  • Ecology 391
  • Molecular Biology 311
  • Aging 253
Replace Stefan Gerber with:
Stefan Gerber United States
Alex Douglas United Kingdom
Chris Mullins United States
Steven Roberts United States
David Hall United States
G. E. Bradford United States
David Brandes United States
Doris Abele Germany
Graham R. Scott Canada
Daniel G. Cyr Canada
Kate Griffiths relative to Stefan Gerber United States Stefan Gerber's profile →
Citations per field
00.5×10×12.7×
Stefan Gerber · 1×
Citations per year

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-authorship network of co-authors of Kate Griffiths

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Griffiths. A scholar is included among the top collaborators of Kate Griffiths 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 Kate Griffiths. Kate Griffiths is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 28
3 25
4 5
5 5
6 23
7 40
8 32
9 57
10
Telomere length in early life predicts lifespanbreakdown →
541
11 5
12 52
13 5
14 1
15
Baseline report series. 11, the Bridport sands of Dorset and Somerset
1
16
Flow heterogeneity in the fractured Chalk aquifer of southern England
2
17
Oestradiol levels in fractions of human breast tumours [proceedings].
3
18 1
19 40
20 36

About Kate Griffiths

Kate Griffiths is a scholar working on Aging, Geochemistry and Petrology and Behavioral Neuroscience, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (11 papers), Estrogen and related hormone effects (11 papers) and Groundwater flow and contamination studies (8 papers). The work is most often cited by research in Aging (253 citations), Physiology (596 citations) and Ecology, Evolution, Behavior and Systematics (429 citations). Kate Griffiths has collaborated with scholars based in United Kingdom, Australia and Argentina. 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, Pierre Bize and François Criscuolo. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and The Journal of Clinical Endocrinology & Metabolism.

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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