Matthew Bennett

407 citations
13 papers · 158 · h-index 4

Impact in

Papers in

    • Circular RNAs in diseases 4
    • RNA modifications and cancer 2
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 3

Matthew Bennett

10 papers receiving 156 citations

Peers

Matthew Bennett
Comparison fields: 5 of 51
  • Cardiology and Cardiovascular Medicine 64
  • Cancer Research 25
  • Molecular Biology 55
  • Obstetrics and Gynecology 5
  • Geriatrics and Gerontology 2
Replace Thalía Belmonte with:
Thalía Belmonte Spain
Andreas Markl Germany
Mezbah U. Faruque United States
Sahar Elouej Tunisia
Katherine Agre United States
Azadeh Alikashani Canada
Laurent Monbrun France
Manyu Gong China
Jessica Ponce United States
Ping Mayo United States
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201652
2 201947
3 202238
4 202312
5 20213
6 20242
7 20251
8 20251
9 20241
10 20141
11 20240
12 20250
13 19940

About Matthew Bennett

Matthew Bennett is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Anthropology and Endocrinology, having authored 13 papers that have together received 158 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (2 papers), Classical Antiquity Studies (1 paper), Vibrio bacteria research studies (1 paper), Cardiac pacing and defibrillation studies (1 paper) and Escherichia coli research studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (64 citations), Cancer Research (25 citations), Molecular Biology (55 citations), Obstetrics and Gynecology (5 citations) and Geriatrics and Gerontology (2 citations). Matthew Bennett has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Andrew H. Baker, Igor Ulitsky, João P Monteiro, Julie Rodor, Axelle Caudrillier, Petr Neužil, Rahul N. Doshi, Reinoud E. Knops, Mark Castellani and Joanne C. Mountford. Their work appears in journals such as Molecular Therapy, Cardiovascular Research, International Journal of Molecular Sciences, JACC Basic to Translational Science and Circulation Arrhythmia and Electrophysiology.

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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