Craig R. Rush

7.3k total citations
193 papers, 5.6k citations indexed

About

Craig R. Rush is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Craig R. Rush has authored 193 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Cellular and Molecular Neuroscience, 59 papers in Cognitive Neuroscience and 52 papers in Psychiatry and Mental health. Recurrent topics in Craig R. Rush's work include Neurotransmitter Receptor Influence on Behavior (127 papers), Substance Abuse Treatment and Outcomes (45 papers) and Attention Deficit Hyperactivity Disorder (36 papers). Craig R. Rush is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (127 papers), Substance Abuse Treatment and Outcomes (45 papers) and Attention Deficit Hyperactivity Disorder (36 papers). Craig R. Rush collaborates with scholars based in United States, Japan and Germany. Craig R. Rush's co-authors include William W. Stoops, Mark T. Fillmore, Lon R. Hays, Joshua A. Lile, Paul E.A. Glaser, Scott H. Kollins, Robert W. Baker, Thomas H. Kelly, Peggy J. Pazzaglia and Roland R. Griffiths and has published in prestigious journals such as Biological Psychiatry, Pharmacological Reviews and Annals of the New York Academy of Sciences.

In The Last Decade

Craig R. Rush

188 papers receiving 5.4k citations

Peers

Craig R. Rush
Thomas F. Newton United States
Anne Lingford‐Hughes United Kingdom
Boris B. Quednow Switzerland
Suzette M. Evans United States
Carl L. Hart United States
Charles A. Dackis United States
Mark S. Gold United States
John D. Roache United States
Naomi Pappas United States
Margaret Haney United States
Thomas F. Newton United States
Craig R. Rush
Citations per year, relative to Craig R. Rush Craig R. Rush (= 1×) peers Thomas F. Newton

Countries citing papers authored by Craig R. Rush

Since Specialization
Citations

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

Fields of papers citing papers by Craig R. Rush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig R. Rush. 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 Craig R. Rush. The network helps show where Craig R. Rush may publish in the future.

Co-authorship network of co-authors of Craig R. Rush

This figure shows the co-authorship network connecting the top 25 collaborators of Craig R. Rush. A scholar is included among the top collaborators of Craig R. Rush based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Craig R. Rush. Craig R. Rush is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Rakesh, Gopalkumar, et al.. (2023). Comparing cigarette-cue attentional bias between people with HIV/AIDS and people with opioid use disorder who smoke. Health Psychology and Behavioral Medicine. 11(1). 2255028–2255028.
3.
Meadows, Amy Lynn, et al.. (2023). Adverse childhood experiences and early initiation of substance use: A survival analysis. The International Journal of Psychiatry in Medicine. 59(2). 218–231. 6 indexed citations
4.
Flack, Kyle D., et al.. (2022). Exercise increases attentional bias towards food cues in individuals classified as overweight to obese. Physiology & Behavior. 247. 113711–113711. 12 indexed citations
5.
Lile, Joshua A., Matthew L. Banks, Kevin W. Hatton, et al.. (2019). Pharmacological validation of a translational model of cocaine use disorder: Effects of d-amphetamine maintenance on choice between intravenous cocaine and a nondrug alternative in humans and rhesus monkeys.. Experimental and Clinical Psychopharmacology. 28(2). 169–180. 29 indexed citations
6.
Alcorn, Joseph L., et al.. (2017). N -Acetylcysteine reduces cocaine-cue attentional bias and differentially alters cocaine self-administration based on dosing order. Drug and Alcohol Dependence. 178. 452–460. 24 indexed citations
7.
Lile, Joshua A., William W. Stoops, Craig R. Rush, et al.. (2016). Development of a translational model to screen medications for cocaine use disorder II: Choice between intravenous cocaine and money in humans. Drug and Alcohol Dependence. 165. 111–119. 33 indexed citations
8.
Marks, Katherine R., et al.. (2015). Laboratory drug administration does not increase use in the natural ecology immediately following study discharge. Drug and Alcohol Dependence. 156. e140–e140. 1 indexed citations
9.
Stoops, William W. & Craig R. Rush. (2013). Agonist Replacement for Stimulant Dependence: A Review of Clinical Research. Current Pharmaceutical Design. 19(40). 7026–7035. 49 indexed citations
10.
Bennett, Jonathan, William W. Stoops, & Craig R. Rush. (2012). Alternative reinforcer response cost impacts methamphetamine choice in humans. Pharmacology Biochemistry and Behavior. 103(3). 481–486. 8 indexed citations
11.
Stoops, William W., et al.. (2011). Influence of escalating alternative reinforcer values on cigarette choice. Behavioural Processes. 87(3). 302–305. 10 indexed citations
12.
Herin, David V., Craig R. Rush, & John Grabowski. (2010). Agonist‐like pharmacotherapy for stimulant dependence: preclinical, human laboratory, and clinical studies. Annals of the New York Academy of Sciences. 1187(1). 76–100. 86 indexed citations
13.
Rush, Craig R., et al.. (2007). Behavioral and subjective effects of D-amphetamine and modafinil in healthy adults.. Experimental and Clinical Psychopharmacology. 15(2). 123–133. 52 indexed citations
14.
Rush, Craig R., Stephen T. Higgins, Andrea R. Vansickel, et al.. (2005). Methylphenidate increases cigarette smoking. Psychopharmacology. 181(4). 781–789. 51 indexed citations
15.
Rush, Craig R., et al.. (2004). Alprazolam Attenuates the Behavioral Effects of d-Amphetamine in Humans. Journal of Clinical Psychopharmacology. 24(4). 410–420. 39 indexed citations
16.
Rush, Craig R., et al.. (2003). Risperidone Attenuates the Discriminative-Stimulus Effects of d-Amphetamine in Humans. Journal of Pharmacology and Experimental Therapeutics. 306(1). 195–204. 81 indexed citations
17.
Rush, Craig R. & Robert W. Baker. (2001). Zolpidem and triazolam interact differentially with a delay interval on a digit‐enter‐and‐recall task. Human Psychopharmacology Clinical and Experimental. 16(2). 147–157. 9 indexed citations
18.
Rush, Craig R., Robert W. Baker, & James K. Rowlett. (2000). Discriminative-stimulus effects of zolpidem, triazolam, pentobarbital, and caffeine in zolpidem-trained humans.. Experimental and Clinical Psychopharmacology. 8(1). 22–36. 16 indexed citations
19.
Rush, Craig R.. (1998). Behavioral Pharmacology of Zolpidem Relative to Benzodiazepines A Review. Pharmacology Biochemistry and Behavior. 61(3). 253–269. 91 indexed citations
20.
Rush, Craig R., Stephen T. Higgins, Warren K. Bickel, & John R. Hughes. (1994). Acute behavioral effects of lorazepam and caffeine, alone and in combination, in humans. Behavioural Pharmacology. 5(3). 245–264. 22 indexed citations

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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