Danielle E. McCarthy

59 papers receiving 3.7k citations

Danielle E. McCarthy's Hit Papers

Addiction Motivation Reformulated: An Affective Processing Model of Negative Reinforcement. 2004 · 1.7k citations
1.7k0+7+14Years since publication50010001.5k

Peers

Danielle E. McCarthy
Comparison fields: 5 of 124
  • Applied Psychology 694
  • Physiology 1.8k
  • Experimental and Cognitive Psychology 685
  • Clinical Psychology 607
  • Behavioral Neuroscience 63
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Countries citing papers authored by Danielle E. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Danielle E. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Addiction Motivation Reformulated: An Affective Processing Model of Negative Reinforcement.
Hit paper breakdown →
20041677
2 2007493
3 2002146
4 2006146
5 2008113
6 200891
7 200482
8 200879
9 200470
10 200868
11 200864
12 200761
13 201558
14 200652
15 201045
16 200941
17 201939
18 201031
19 201531
20 201431

About Danielle E. McCarthy

Danielle E. McCarthy is a scholar working on Physiology, Applied Psychology, Molecular Biology, Public Health, Environmental and Occupational Health and Experimental and Cognitive Psychology, having authored 65 papers that have together received 3.8k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (48 papers), Behavioral Health and Interventions (19 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Obesity, Physical Activity, Diet (6 papers), Mental Health Research Topics (4 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Applied Psychology (694 citations), Physiology (1.8k citations), Experimental and Cognitive Psychology (685 citations), Clinical Psychology (607 citations) and Behavioral Neuroscience (63 citations). Danielle E. McCarthy has collaborated with scholars based in United States, Netherlands and Slovenia. Frequent co-authors include Timothy B. Baker, Michael C. Fiore, Megan E. Piper, Thomas M. Piasecki, Stevens S. Smith, Daniel M. Bolt, Douglas E. Jorenby, Haruka Minami, Krysten W. Bold and Vivian M. Yeh. Their work appears in journals such as Addiction, Nicotine & Tobacco Research, Psychology of Addictive Behaviors, Experimental and Clinical Psychopharmacology and Drug and Alcohol Dependence.

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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