Beatrice E. Pyatt

730 citations
10 papers · 636 indexed · h-index 7

Impact in

Papers in

Beatrice E. Pyatt

10 papers receiving 615 citations

Peers

Beatrice E. Pyatt
Comparison fields: 5 of 81
  • Chemical Health and Safety 26
  • Cancer Research 252
  • Pharmacology 254
  • Toxicology 35
  • Cellular and Molecular Neuroscience 184
Replace Fariborz Rakhshan with:
Fariborz Rakhshan United States
Tracy Nguyen United States
Vijayalaxmi India
Mitchell R. Emerson United States
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Jason E. Cline Germany
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Beatrice E. Pyatt relative to Fariborz Rakhshan United States Fariborz Rakhshan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Beatrice E. Pyatt

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice E. Pyatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatrice E. Pyatt. 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 Beatrice E. Pyatt. The network helps show where Beatrice E. Pyatt may publish in the future.

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 200049
2 199896
3 1997123
4
Production and use of cobalt-55 as an antibody label for PET imaging
19945
5 19924
6 199230
7 19916
8 199020
9 198993
10 1988210

About Beatrice E. Pyatt

Beatrice E. Pyatt is a scholar working on Toxicology, Cancer Research, Pharmacology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 10 papers that have together received 636 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (6 papers), DNA Repair Mechanisms (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Cannabis and Cannabinoid Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Neurotransmitter Receptor Influence on Behavior (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Chemical Health and Safety (26 citations), Cancer Research (252 citations), Pharmacology (254 citations), Toxicology (35 citations) and Cellular and Molecular Neuroscience (184 citations). Beatrice E. Pyatt has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include M. A. Bender, R. Julian Preston, Robin C. Leonard, P.C. Gooch, Nora D. Volkow, Andrew N. Gifford, Michael D. Shelby, Ruoxi Lan, S. John Gatley and Alexandros Makriyannis. Their work appears in journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Life Sciences, Journal of Neurochemistry, Synapse and Journal of Labelled Compounds and Radiopharmaceuticals.

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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