Laura C. Greaves

7.0k citations
54 papers · 3.5k · 1 hit paper · h-index 32

Impact in

Papers in

Laura C. Greaves

54 papers receiving 3.5k citations

Laura C. Greaves's Hit Papers

Chronic inflammation induces telomere dysfunction and accelerates ageing in mice 2014 · 593 citations
5930+4+8Years since publication100200300400500

Peers

Laura C. Greaves
Comparison fields: 5 of 142
  • Aging 289
  • Clinical Biochemistry 741
  • Molecular Biology 2.3k
  • Cancer Research 448
  • Physiology 637
Replace Marni J. Falk with:
Marni J. Falk United States
Moshi Song China
María Eugenia Soriano Italy
Mingyi Wang United States
Josef Müller‐Höcker Germany
Natalya D. Bodyak United States
Peter Seibel Germany
Francesco Pallotti Italy
Matej Durik Netherlands
Uma M. Sachdeva United States
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Citations per year

Countries citing papers authored by Laura C. Greaves

Since Specialization
Citations

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

Fields of papers citing papers by Laura C. Greaves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura C. Greaves. 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 Laura C. Greaves. The network helps show where Laura C. Greaves may publish in the future.

Co-authors

The 25 scholars most cited alongside Laura C. Greaves, 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 Laura C. Greaves Line = papers co-authored together Laura C. Greaves links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chronic inflammation induces telomere dysfunction and accelerates ageing in mice
Hit paper breakdown →
2014593
2 2003402
3 2006229
4 2011222
5 2007190
6 2020130
7 2014112
8 2008103
9 201699
10 202092
11 200681
12 200768
13 200962
14 200659
15 201158
16 201257
17 201755
18 200752
19 201450
20 201748

About Laura C. Greaves

Laura C. Greaves is a scholar working on Molecular Biology, Clinical Biochemistry, Cancer Research, Surgery and Oncology, having authored 54 papers that have together received 3.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (36 papers), Metabolism and Genetic Disorders (26 papers), ATP Synthase and ATPases Research (16 papers), DNA Repair Mechanisms (9 papers), Cancer Cells and Metastasis (4 papers), Genetic Neurodegenerative Diseases (4 papers), Cancer Genomics and Diagnostics (4 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Aging (289 citations), Clinical Biochemistry (741 citations), Molecular Biology (2.3k citations), Cancer Research (448 citations) and Physiology (637 citations). Laura C. Greaves has collaborated with scholars based in United Kingdom, South Africa and Spain. Frequent co-authors include Douglass M. Turnbull, Robert W. Taylor, Amy K. Reeve, Thomas B. L. Kirkwood, Martin Barron, Geoffrey A. Taylor, Conor Lawless, Nicholas A. Wright, Patrick F. Chinnery and Stuart A.C. McDonald. Their work appears in journals such as The Journal of Pathology, Aging Cell, Scientific Reports, Cell Reports and Journal of Clinical Investigation.

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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