C.K. Atterwill

70 papers receiving 885 citations

Peers

C.K. Atterwill
Comparison fields: 5 of 108
  • Cellular and Molecular Neuroscience 321
  • Behavioral Neuroscience 44
  • Developmental Neuroscience 44
  • Endocrinology, Diabetes and Metabolism 147
  • Small Animals 56
Replace Robert G. Pendleton with:
Robert G. Pendleton United States
Hironaka Aihara Japan
Rainer Fried United States
Toshiharu Nagatsu Japan
Thomas L. Pazdernik United States
Sidney M. Hess United States
Felicitas S. Cabbat United States
G. Cohen United States
Takao Matsuo Japan
Howard S. Maker United States
C.K. Atterwill relative to Robert G. Pendleton United States Robert G. Pendleton's profile →
Citations per field
00.5×1.5×2.4×
Robert G. Pendleton · 1×
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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995121
2 199596
3 198463
4 198149
5 198444
6 198438
7 198532
8 197830
9 199629
10 198526
11 198026
12
Models for the in vitro assessment of neurotoxicity in the nervous system in relation to xenobiotic and neurotrophic factor-mediated events.
199226
13 197819
14 198718
15 198118
16 198618
17 199318
18 199315
19 197915
20 199714

About C.K. Atterwill

C.K. Atterwill is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Biochemistry, Small Animals and Endocrinology, Diabetes and Metabolism, having authored 75 papers that have together received 964 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (22 papers), Thyroid Disorders and Treatments (10 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), Animal testing and alternatives (6 papers) and Amino Acid Enzymes and Metabolism (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (321 citations), Behavioral Neuroscience (44 citations), Developmental Neuroscience (44 citations), Endocrinology, Diabetes and Metabolism (147 citations) and Small Animals (56 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, M. Bloomfield, David Atkinson and Julia Nicholls. Their work appears in journals such as Toxicology in Vitro, Food and Chemical Toxicology, Neuropharmacology, Journal of Pharmacy and Pharmacology and Toxicology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026