Udi E. Ghitza

4.1k total citations · 1 hit paper
82 papers, 2.7k citations indexed

About

Udi E. Ghitza is a scholar working on Epidemiology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Udi E. Ghitza has authored 82 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 22 papers in Cellular and Molecular Neuroscience and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Udi E. Ghitza's work include Substance Abuse Treatment and Outcomes (24 papers), Neurotransmitter Receptor Influence on Behavior (21 papers) and Opioid Use Disorder Treatment (18 papers). Udi E. Ghitza is often cited by papers focused on Substance Abuse Treatment and Outcomes (24 papers), Neurotransmitter Receptor Influence on Behavior (21 papers) and Opioid Use Disorder Treatment (18 papers). Udi E. Ghitza collaborates with scholars based in United States, China and Netherlands. Udi E. Ghitza's co-authors include David H. Epstein, Yavin Shaham, Lin Lü, Betty Tai, Kenzie L. Preston, Jennifer M. Bossert, Li‐Tzy Wu, Mark O. West, Anthony T. Fabbricatore and Sarah M. Gray and has published in prestigious journals such as New England Journal of Medicine, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Udi E. Ghitza

79 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bupropion and Naltrexone in Methamphetamine Use Disorder

2021 147 citations Udi E. Ghitza, Gavin Bart et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Udi E. Ghitza United States	29	1.0k	769	536	438	425	82	2.7k
Gerhard A. Wiesbeck Switzerland	34	776 0.8×	924 1.2×	295 0.6×	371 0.8×	537 1.3×	127	3.4k
Michael Soyka Germany	28	720 0.7×	1.3k 1.7×	561 1.0×	270 0.6×	332 0.8×	136	3.1k
Henri‐Jean Aubin France	33	905 0.9×	1.1k 1.5×	650 1.2×	610 1.4×	631 1.5×	139	4.7k
James C. Garbutt United States	30	1.2k 1.2×	1.6k 2.1×	550 1.0×	410 0.9×	300 0.7×	92	4.3k
Sara L. Simon United States	21	1.3k 1.2×	779 1.0×	264 0.5×	475 1.1×	874 2.1×	30	3.5k
Michel Reynaud France	33	838 0.8×	881 1.1×	261 0.5×	329 0.8×	485 1.1×	129	3.4k
Karen Miotto United States	33	1.2k 1.1×	1.2k 1.6×	944 1.8×	386 0.9×	391 0.9×	76	4.0k
Margaret Rukstalis United States	29	732 0.7×	658 0.9×	779 1.5×	676 1.5×	126 0.3×	60	2.9k
Gantt P. Galloway United States	34	1.6k 1.5×	1.1k 1.5×	321 0.6×	303 0.7×	553 1.3×	77	3.7k
William W. Stoops United States	35	1.9k 1.8×	935 1.2×	517 1.0×	458 1.0×	702 1.7×	168	3.8k

Countries citing papers authored by Udi E. Ghitza

Since Specialization

Citations

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

Fields of papers citing papers by Udi E. Ghitza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udi E. Ghitza

This figure shows the co-authorship network connecting the top 25 collaborators of Udi E. Ghitza. A scholar is included among the top collaborators of Udi E. Ghitza 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 Udi E. Ghitza. Udi E. Ghitza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Winhusen, Theresa, et al.. (2024). Artificial intelligence‐based drug repurposing with electronic health record clinical corroboration: A case for ketamine as a potential treatment for amphetamine‐type stimulant use disorder. Addiction. 120(4). 732–744. 1 indexed citations

Bart, Gavin, Kelly S. Barth, Paulette Baukol, et al.. (2024). Exemplar Hospital Initiation Trial to Enhance Treatment Engagement (EXHIT ENTRE): protocol for CTN-0098 an open-label randomized comparative effectiveness trial of extended-release buprenorphine versus treatment as usual on post-hospital treatment engagement for hospitalized patients with opioid use disorder. Addiction Science & Clinical Practice. 19(1). 91–91.

Jarrett, Jennie B., Jeffrey Bratberg, Anne Burns, et al.. (2023). Research Priorities for Expansion of Opioid Use Disorder Treatment in the Community Pharmacy. Substance Abuse. 44(4). 264–276. 8 indexed citations

Winhusen, Theresa, Udi E. Ghitza, Edward V. Nunes, et al.. (2023). Potential effect of antidepressants on remission from cocaine use disorder – A nationwide matched retrospective cohort study. Drug and Alcohol Dependence. 251. 110958–110958. 8 indexed citations

Hartung, Daniel M., Sheila Markwardt, Kirbee Johnston, et al.. (2022). Association between treatment setting and outcomes among oregon medicaid patients with opioid use disorder: a retrospective cohort study. Addiction Science & Clinical Practice. 17(1). 45–45. 9 indexed citations

Charron, Elizabeth, Akiko Okifuji, Sarah E. Reese, et al.. (2022). Pain Severity and Interference and Substance Use Among Community Pharmacy Patients Prescribed Opioids: A Secondary Analysis of the PHARMSCREEN Study. Journal of Pain. 23(8). 1448–1459. 3 indexed citations

Cochran, Gerald, Jennifer L. Brown, Stacey Frede, et al.. (2021). Validation and threshold identification of a prescription drug monitoring program clinical opioid risk metric with the WHO alcohol, smoking, and substance involvement screening test. Drug and Alcohol Dependence. 228. 109067–109067. 15 indexed citations

McClure, Erin A., Nathaniel L. Baker, Susan C. Sonne, et al.. (2018). Tobacco use during cannabis cessation: Use patterns and impact on abstinence in a National Drug Abuse Treatment Clinical Trials Network study. Drug and Alcohol Dependence. 192. 59–66. 22 indexed citations

Wu, Li‐Tzy, Udi E. Ghitza, He Zhu, et al.. (2018). Substance use disorders and medical comorbidities among high-need, high-risk patients with diabetes. Drug and Alcohol Dependence. 186. 86–93. 30 indexed citations

10.

Murphy, Sean M., Aimee Campbell, Udi E. Ghitza, et al.. (2016). Cost-effectiveness of an internet-delivered treatment for substance abuse: Data from a multisite randomized controlled trial. Drug and Alcohol Dependence. 161. 119–126. 40 indexed citations

11.

Ghitza, Udi E., Robert E. Gore‐Langton, Robert Lindblad, & Betty Tai. (2015). NIDA Clinical Trials Network Common Data Elements Initiative: Advancing Big-Data Addictive-Disorders Research. Frontiers in Psychiatry. 6. 33–33. 9 indexed citations

12.

Ghitza, Udi E.. (2015). A Commentary on â€œA New Initiative on Precision Medicineâ€. Frontiers in Psychiatry. 6. 88–88. 4 indexed citations

13.

Wu, Li‐Tzy, Udi E. Ghitza, Bryan C. Batch, et al.. (2015). Substance use and mental diagnoses among adults with and without type 2 diabetes: Results from electronic health records data. Drug and Alcohol Dependence. 156. 162–169. 43 indexed citations

14.

Ghitza, Udi E., et al.. (2013). Preventing deaths from rising opioid overdose in the US – the promise of naloxone antidote in community-based naloxone take-home programs. PubMed. 2013(4). 65–65. 30 indexed citations

15.

Winhusen, Theresa, Bryon Adinoff, Daniel Lewis, et al.. (2013). A tale of two stimulants: Mentholated cigarettes may play a role in cocaine, but not methamphetamine, dependence. Drug and Alcohol Dependence. 133(3). 845–851. 13 indexed citations

16.

Winhusen, Theresa, Maxine L. Stitzer, George Woody, et al.. (2011). Design considerations for a study to evaluate the impact of smoking cessation treatment on stimulant use outcomes in stimulant-dependent individuals. Contemporary Clinical Trials. 33(1). 197–205. 13 indexed citations

17.

Fabbricatore, Anthony T., et al.. (2009). Electrophysiological evidence of mediolateral functional dichotomy in the rat accumbens during cocaine self‐administration: tonic firing patterns. European Journal of Neuroscience. 30(12). 2387–2400. 21 indexed citations

18.

Wang, Xiaoyi, Mei Zhao, Udi E. Ghitza, Yanqin Li, & Lin Lü. (2008). Stress Impairs Reconsolidation of Drug Memory via Glucocorticoid Receptors in the Basolateral Amygdala. Journal of Neuroscience. 28(21). 5602–5610. 120 indexed citations

19.

Nair, Sunila G, Sarah M. Gray, & Udi E. Ghitza. (2006). Role of food type in yohimbine- and pellet-priming-induced reinstatement of food seeking. Physiology & Behavior. 88(4-5). 559–566. 37 indexed citations

20.

Ghitza, Udi E., et al.. (2005). Higher magnitude accumbal phasic firing changes among core neurons exhibiting tonic firing increases during cocaine self-administration. Neuroscience. 137(3). 1075–1085. 18 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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