MA Peat

23 papers receiving 483 citations

Peers

MA Peat
Comparison fields: 5 of 66
  • Toxicology 242
  • Cellular and Molecular Neuroscience 125
  • Safety, Risk, Reliability and Quality 78
  • Analytical Chemistry 46
  • Pharmacology 56
Replace Anita Wahlén with:
Anita Wahlén Sweden
Gunnel Ceder Sweden
Michele L. Merves United States
Wagdy W. Wahba United States
Ingebjørg Gustavsen Norway
Steven W. Gust United States
Rebecca A. Jufer United States
Arne Helland Norway
Mahmoud N. Musa United States
John J. Guarino United States
MA Peat relative to Anita Wahlén Sweden Anita Wahlén's profile →
Citations per field
00.5×2×3×4×4.6×
Anita Wahlén · 1×
Citations per year

Countries citing papers authored by MA Peat

Since Specialization
Citations

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

Fields of papers citing papers by MA Peat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside MA Peat, 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 MA Peat Line = papers co-authored together MA Peat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985122
2 198184
3 198449
4 198545
5 197934
6 198529
7 198823
8 199522
9 197720
10 198619
11 198318
12 198217
13 197816
14 198015
15 198414
16 198313
17 197712
18 198311
19 198411
20 198611

About MA Peat

MA Peat is a scholar working on Toxicology, Cellular and Molecular Neuroscience, Analytical Chemistry, Emergency Medicine and Safety, Risk, Reliability and Quality, having authored 23 papers that have together received 597 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (18 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Analytical Methods in Pharmaceuticals (2 papers), Traffic and Road Safety (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Poisoning and overdose treatments (1 paper), Cannabis and Cannabinoid Research (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Toxicology (242 citations), Cellular and Molecular Neuroscience (125 citations), Safety, Risk, Reliability and Quality (78 citations), Analytical Chemistry (46 citations) and Pharmacology (56 citations). MA Peat has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Bryan S. Finkle, Dennis J. Crouch, James W. Gibb, Thomas A. Jennison, A F Williams, JoAnn K. Wells, Charles Bakhit, Michael E. Morgan, R. L. Foltz and Donald R. Gehlert. Their work appears in journals such as Journal of Forensic Sciences, Clinical Chemistry, Journal of Analytical Toxicology, Journal of Safety Research and Neuropharmacology.

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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