David Béal

913 citations
21 papers · 652 · h-index 15

Impact in

Papers in

David Béal

21 papers receiving 643 citations

Peers

David Béal
Comparison fields: 5 of 99
  • Health, Toxicology and Mutagenesis 189
  • Pollution 104
  • Materials Chemistry 331
  • Dermatology 50
  • Cancer Research 59
Replace Dagmar Jírová with:
Dagmar Jírová Czechia
Kristína Kejlová Czechia
Parrisa Solaimani United States
Florian Schellauf United Kingdom
Xialu Lin China
Myeong-Kon Kim South Korea
Amanda Hayes Australia
Eric K. Dufour France
Jeong‐Hwan Che South Korea
Wan-Seob Cho South Korea
David Béal relative to Dagmar Jírová Czechia Dagmar Jírová's profile →
Citations per field
00.5×3.5×
Dagmar Jírová · 1×
Citations per year

Countries citing papers authored by David Béal

Since Specialization
Citations

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

Fields of papers citing papers by David Béal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201699
2 201796
3 201678
4 201855
5 201945
6 201939
7 202037
8 201830
9 202127
10 201727
11 201923
12 202222
13 202018
14 201915
15 201514
16 202310
17 20197
18 20234
19 20243
20 20202

About David Béal

David Béal is a scholar working on Materials Chemistry, Health, Toxicology and Mutagenesis, Cancer Research, Dermatology and Molecular Biology, having authored 21 papers that have together received 652 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (10 papers), Carcinogens and Genotoxicity Assessment (7 papers), Skin Protection and Aging (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), DNA Repair Mechanisms (3 papers), Microplastics and Plastic Pollution (3 papers), Selenium in Biological Systems (3 papers) and Child Nutrition and Water Access (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (189 citations), Pollution (104 citations), Materials Chemistry (331 citations), Dermatology (50 citations) and Cancer Research (59 citations). David Béal has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Marie Carrière, Nathalie Herlin‐Boime, Caroline Marie, Walid Rachidi, Thierry Douki, Mathilde Biola-Clier, Lucie Armand, Frédérick Barreau, Éric Houdeau and Iseult Lynch. Their work appears in journals such as Nanotoxicology, Toxicology in Vitro, Environmental Science Nano, Oxidative Medicine and Cellular Longevity and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

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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