Daniel J. Audet

490 citations
17 papers · 394 · h-index 11

Impact in

    • Mercury impact and mitigation studies
    • Heavy Metal Exposure and Toxicity
    • Environmental Toxicology and Ecotoxicology
    • Toxic Organic Pollutants Impact
  • Pollution top 5%
    • Heavy metals in environment

Papers in

Daniel J. Audet

16 papers receiving 357 citations

Peers

Daniel J. Audet
Comparison fields: 5 of 52
  • Health, Toxicology and Mutagenesis 323
  • Pollution 240
  • Parasitology 35
  • Ecology 77
  • Water Science and Technology 25
Replace Krzysztof Dmowski with:
Krzysztof Dmowski Poland
Sheila Shukla United States
Magali Lucia France
G. Izaguirre-Fierro Mexico
V. Ya. Kavun Russia
Carline Dixon United States
Lou Sileo United States
Matthias Dürr Germany
Roy W. Lowe United States
Judith Voets Belgium
Daniel J. Audet relative to Krzysztof Dmowski Poland Krzysztof Dmowski's profile →
Citations per field
00.5×1.5×2.1×
Krzysztof Dmowski · 1×
Citations per year

Countries citing papers authored by Daniel J. Audet

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Audet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Audet. 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 Daniel J. Audet. The network helps show where Daniel J. Audet may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200053
2 199853
3 200051
4 199943
5 200040
6 199939
7 200326
8 199923
9 201118
10 199215
11 200413
12 20067
13 20066
14 20064
15 20102
16 19991
17 20220

About Daniel J. Audet

Daniel J. Audet is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Water Science and Technology, Ecology and Nature and Landscape Conservation, having authored 17 papers that have together received 394 indexed citations. Recurring topics across this work include Mercury impact and mitigation studies (11 papers), Heavy metals in environment (11 papers), Heavy Metal Exposure and Toxicity (8 papers), Environmental Toxicology and Ecotoxicology (4 papers), Water Quality and Pollution Assessment (2 papers), Hydrology and Watershed Management Studies (1 paper), Transcranial Magnetic Stimulation Studies (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (323 citations), Pollution (240 citations), Parasitology (35 citations), Ecology (77 citations) and Water Science and Technology (25 citations). Daniel J. Audet has collaborated with scholars based in United States. Frequent co-authors include Gary H. Heinz, Leonard J. LeCaptain, L. Sileo, D. J. Hoffman, David J. Hoffman, W. Nelson Beyer, Julie K. Campbell, Charles J. Henny, Lawrence J. Blus and Daniel D. Day. Their work appears in journals such as Archives of Environmental Contamination and Toxicology, Environmental Toxicology and Chemistry, Ecotoxicology, Journal of Environmental Quality and Journal of Toxicology and Environmental Health.

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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