L. D. Chait

2.4k citations
46 papers · 1.9k indexed · h-index 26

Impact in

Papers in

L. D. Chait

46 papers receiving 1.8k citations

Peers

L. D. Chait
Comparison fields: 5 of 104
  • Toxicology 210
  • Cellular and Molecular Neuroscience 909
  • Pharmacology 784
  • Cognitive Neuroscience 373
  • Applied Psychology 65
Replace Jewell W. Sloan with:
Jewell W. Sloan United States
Alison Oliveto United States
Lon R. Hays United States
Leigh V. Panlilio United States
G. B. Chesher Australia
Amie S. Ward United States
Ahmed Elkashef United States
Harris Isbell United States
Roberta Agabio Italy
Christine A. Sannerud United States
L. D. Chait relative to Jewell W. Sloan United States Jewell W. Sloan's profile →
Citations per field
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Citations per year

Countries citing papers authored by L. D. Chait

Since Specialization
Citations

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

Fields of papers citing papers by L. D. Chait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. D. Chait. 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 L. D. Chait. The network helps show where L. D. Chait may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20192
2 19947
3 199448
4 199454
5 1994152
6 199435
7 199119
8 199047
9 198921
10 198935
11 198921
12 198870
13 198825
14 198828
15 198861
16 198784
17 198658
18 198447
19
The effects of tricyclic antidepressants on responding maintained under a multiple schedule of reinforcement in the pigeon
19811
20 198119

About L. D. Chait

L. D. Chait is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Physiology, Applied Psychology and Animal Science and Zoology, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (17 papers), Cannabis and Cannabinoid Research (15 papers), Smoking Behavior and Cessation (14 papers), Substance Abuse Treatment and Outcomes (5 papers), Coffee research and impacts (5 papers), Pharmacology and Obesity Treatment (4 papers), Animal Nutrition and Physiology (3 papers) and Behavioral Health and Interventions (3 papers). The work is most often cited by research in Toxicology (210 citations), Cellular and Molecular Neuroscience (909 citations), Pharmacology (784 citations), Cognitive Neuroscience (373 citations) and Applied Psychology (65 citations). L. D. Chait has collaborated with scholars based in United States. Frequent co-authors include Chris E. Johanson, E. H. Uhlenhuth, Roland R. Griffiths, Robert L. Balster, John L. Perry, James P. Zacny, Jack E. Henningfield, Kathleen Stern, Marian W. Fischman and Charles R. Schuster. Their work appears in journals such as Psychopharmacology, Pharmacology Biochemistry and Behavior, Behavioural Pharmacology, Journal of Pharmacology and Experimental Therapeutics and Clinical Pharmacology & Therapeutics.

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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