C.K. Atterwill

1.2k citations
78 papers · 1.1k · h-index 18

Impact in

Papers in

C.K. Atterwill

73 papers receiving 979 citations

Peers

C.K. Atterwill
Comparison fields: 5 of 110
  • Cellular and Molecular Neuroscience 365
  • Developmental Neuroscience 61
  • Behavioral Neuroscience 41
  • Endocrinology, Diabetes and Metabolism 170
  • Small Animals 69
Replace Robert G. Pendleton with:
Robert G. Pendleton United States
Richard A. Bjur United States
Atso Raasmaja Finland
Hironaka Aihara Japan
N S Gee United Kingdom
K. Dakshinamurti Canada
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Bernard Schmidt Germany
J. E. Cremer United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by C.K. Atterwill

Since Specialization
Citations

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

Fields of papers citing papers by C.K. Atterwill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.K. Atterwill. 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 C.K. Atterwill. The network helps show where C.K. Atterwill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995123
2 1995102
3 198466
4 198156
5 198447
6 198441
7 198538
8 197835
9 199631
10 198028
11
Models for the in vitro assessment of neurotoxicity in the nervous system in relation to xenobiotic and neurotrophic factor-mediated events.
199228
12 198526
13 197824
14 198722
15 198121
16 198620
17 199719
18 199318
19 199316
20 197916

About C.K. Atterwill

C.K. Atterwill is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pharmacology and Organic Chemistry, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Thyroid Disorders and Treatments (12 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Ion Transport and Channel Regulation (7 papers), Mast cells and histamine (6 papers), Amino Acid Enzymes and Metabolism (6 papers) and Animal testing and alternatives (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (365 citations), Developmental Neuroscience (61 citations), Behavioral Neuroscience (41 citations), Endocrinology, Diabetes and Metabolism (170 citations) and Small Animals (69 citations). C.K. Atterwill has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Wendy M. Purcell, A. K. Prince, R. Balázs, Vincent J. Cunningham, David J. Heal, S.M. Thomas, Sharon L. Smith, Ann E. Kingsbury, M. Bloomfield and David Atkinson. Their work appears in journals such as Toxicology in Vitro, Food and Chemical Toxicology, Neuropharmacology, Journal of Pharmacy and Pharmacology and Journal of Neurochemistry.

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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