Carrie E. John

795 citations
13 papers · 666 · h-index 12

Impact in

Papers in

Carrie E. John

13 papers receiving 644 citations

Peers

Carrie E. John
Comparison fields: 5 of 68
  • Cellular and Molecular Neuroscience 504
  • Cognitive Neuroscience 122
  • Biological Psychiatry 13
  • Behavioral Neuroscience 16
  • Electrochemistry 29
Replace Yuko Kawata with:
Yuko Kawata Japan
Alberto Morales‐Villagrán Mexico
Robert Ator United States
Leeann H. Miner United States
Mark D. Kelland United States
H. B. Niznik Canada
Ben H.C. Westerink Netherlands
Deranda B. Lester United States
Paul M. Kunko United States
P Jenner United Kingdom
Carrie E. John relative to Yuko Kawata Japan Yuko Kawata's profile →
Citations per field
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Yuko Kawata · 1×
Citations per year

Countries citing papers authored by Carrie E. John

Since Specialization
Citations

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

Fields of papers citing papers by Carrie E. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Carrie E. John, 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 Carrie E. John Line = papers co-authored together Carrie E. John links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2002122
2 2007103
3 200475
4 200370
5 200570
6 200556
7 200350
8 200646
9 200625
10 200420
11 200614
12 201413
13 20092

About Carrie E. John

Carrie E. John is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Health, Toxicology and Mutagenesis and Nutrition and Dietetics, having authored 13 papers that have together received 666 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Receptor Mechanisms and Signaling (8 papers), Neural dynamics and brain function (2 papers), Heavy Metal Exposure and Toxicity (1 paper), Memory and Neural Mechanisms (1 paper), Trace Elements in Health (1 paper) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (504 citations), Cognitive Neuroscience (122 citations), Biological Psychiatry (13 citations), Behavioral Neuroscience (16 citations) and Electrochemistry (29 citations). Carrie E. John has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include Sara R. Jones, Evgeny A. Budygin, Yolanda Mateo, Keith M. Erikson, Michael Aschner, Tatyana D. Sotnikova, Raul R. Gainetdinov, Michel Cyr, Mark S. Brodie and Tiffany A. Mathews. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuropharmacology, Journal of Neurochemistry, Neuroscience & Biobehavioral Reviews and Environmental Toxicology and Pharmacology.

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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