Matthew Denniff

5.9k citations
25 papers · 602 · h-index 13

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Telomeres, Telomerase, and Senescence

Papers in

    • Telomeres, Telomerase, and Senescence 9
    • Epigenetics and DNA Methylation 4
    • Muscle Physiology and Disorders 3

Matthew Denniff

25 papers receiving 591 citations

Peers

Matthew Denniff
Comparison fields: 5 of 95
  • Aging 65
  • Physiology 181
  • Endocrine and Autonomic Systems 42
  • Genetics 147
  • Pediatrics, Perinatology and Child Health 96
Replace V. Chandrashekar with:
V. Chandrashekar United States
Adelheid Lempradl United States
Ricardo Laguna‐Barraza Spain
Ingrid Plotton France
J. Andrew Pospisilik Germany
N. Lucarini Italy
Jeffrey B. Mason United States
Simon Klebanov United States
Mamdouh Khalil Australia
Melanie Weigert United States
Matthew Denniff relative to V. Chandrashekar United States V. Chandrashekar's profile →
Citations per field
00.5×10.4×
V. Chandrashekar · 1×
Citations per year

Countries citing papers authored by Matthew Denniff

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Denniff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 201774
3 201357
4 200854
5 201939
6 201535
7 201935
8 201326
9 201225
10 200523
11 201122
12 201416
13 202013
14 201312
15 201611
16 20179
17 20229
18 20058
19 20197
20 20216

About Matthew Denniff

Matthew Denniff is a scholar working on Physiology, Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health and Ecology, Evolution, Behavior and Systematics, having authored 25 papers that have together received 602 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (9 papers), Epigenetics and DNA Methylation (4 papers), Birth, Development, and Health (4 papers), Animal Behavior and Reproduction (4 papers), Plant and animal studies (4 papers), Insect and Arachnid Ecology and Behavior (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Aging (65 citations), Physiology (181 citations), Endocrine and Autonomic Systems (42 citations), Genetics (147 citations) and Pediatrics, Perinatology and Child Health (96 citations). Matthew Denniff has collaborated with scholars based in United Kingdom, Poland and Australia. Frequent co-authors include Nilesh J. Samani, Maciej Tomaszewski, Fadi J. Charchar, E Zukowska-Szczechowska, Veryan Codd, Tracey Chapman, Kevin Fowler, Andrew Pomiankowski, Christopher P. Nelson and David W. Rogers. Their work appears in journals such as PLoS ONE, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Bodywork and Movement Therapies, Gene and Journal of Molecular and Cellular Cardiology.

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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