Cornelis A. J. De Jong

578 total citations
24 papers, 335 citations indexed

About

Cornelis A. J. De Jong is a scholar working on General Health Professions, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Cornelis A. J. De Jong has authored 24 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 6 papers in Epidemiology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Cornelis A. J. De Jong's work include Substance Abuse Treatment and Outcomes (5 papers), Forensic Toxicology and Drug Analysis (5 papers) and Alcoholism and Thiamine Deficiency (4 papers). Cornelis A. J. De Jong is often cited by papers focused on Substance Abuse Treatment and Outcomes (5 papers), Forensic Toxicology and Drug Analysis (5 papers) and Alcoholism and Thiamine Deficiency (4 papers). Cornelis A. J. De Jong collaborates with scholars based in Netherlands, United Kingdom and Australia. Cornelis A. J. De Jong's co-authors include Boukje A.G. Dijkstra, Wiebren Markus, Roy P. C. Kessels, Serge J. W. Walvoort, Joanne VanDerNagel, Rama Kamal, Ali Farhoudian, Kathleen T. Brady, Parnian Rafei and Mohsen Ebrahimi and has published in prestigious journals such as PLoS ONE, Drug and Alcohol Dependence and Journal of Personality Assessment.

In The Last Decade

Cornelis A. J. De Jong

20 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornelis A. J. De Jong Netherlands 9 104 91 67 59 49 24 335
Anthony Glasper United Kingdom 10 57 0.5× 110 1.2× 74 1.1× 106 1.8× 31 0.6× 11 385
Krista J. Siefried Australia 12 58 0.6× 161 1.8× 67 1.0× 85 1.4× 41 0.8× 45 537
Debasish Basu India 14 97 0.9× 146 1.6× 143 2.1× 48 0.8× 69 1.4× 41 466
Enriqueta Ochoa Mangado Spain 12 121 1.2× 199 2.2× 134 2.0× 68 1.2× 62 1.3× 54 521
Arpit Parmar India 11 134 1.3× 139 1.5× 54 0.8× 70 1.2× 36 0.7× 75 382
Frank Angelo United States 12 80 0.8× 186 2.0× 80 1.2× 60 1.0× 55 1.1× 19 382
Morgane Rousselet France 12 128 1.2× 44 0.5× 64 1.0× 64 1.1× 8 0.2× 36 379
Marylène Guerlais France 10 46 0.4× 56 0.6× 45 0.7× 62 1.1× 13 0.3× 36 269
Laia Miquel Spain 14 140 1.3× 210 2.3× 62 0.9× 43 0.7× 136 2.8× 44 542
André Miguel United States 11 62 0.6× 175 1.9× 51 0.8× 62 1.1× 36 0.7× 34 342

Countries citing papers authored by Cornelis A. J. De Jong

Since Specialization
Citations

This map shows the geographic impact of Cornelis A. J. De Jong'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 Cornelis A. J. De Jong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelis A. J. De Jong more than expected).

Fields of papers citing papers by Cornelis A. J. De Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cornelis A. J. De Jong. 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 Cornelis A. J. De Jong. The network helps show where Cornelis A. J. De Jong may publish in the future.

Co-authorship network of co-authors of Cornelis A. J. De Jong

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelis A. J. De Jong. A scholar is included among the top collaborators of Cornelis A. J. De Jong 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 Cornelis A. J. De Jong. Cornelis A. J. De Jong 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
2.
Jong, Cornelis A. J. De, et al.. (2022). Cognitive Impairments in Patients with GHB Use Disorder Predict Relapse in GHB Use. European Addiction Research. 28(5). 350–357. 2 indexed citations
3.
Jong, Cornelis A. J. De, Ali Farhoudian, Mohsen Ebrahimi, et al.. (2021). Reorganization of Substance Use Treatment and Harm Reduction Services During the COVID-19 Pandemic: A Global Survey. Frontiers in Psychiatry. 12. 639393–639393. 56 indexed citations
4.
Farhoudian, Ali, Seyed Ramin Radfar, Hossein Mohaddes Ardabili, et al.. (2021). A Global Survey on Changes in the Supply, Price, and Use of Illicit Drugs and Alcohol, and Related Complications During the 2020 COVID-19 Pandemic. Frontiers in Psychiatry. 12. 646206–646206. 56 indexed citations
5.
Schene, Aart H., et al.. (2021). Barriers and Facilitators to Seek Help for Substance Use Disorder among Dutch Physicians: A Qualitative Study. European Addiction Research. 28(1). 23–32. 4 indexed citations
6.
Dijkstra, Boukje A.G., Hein A. de Haan, Cornelis A. J. De Jong, et al.. (2021). Success Rates of Monitoring for Healthcare Professionals with a Substance Use Disorder: A Meta-Analysis. Journal of Clinical Medicine. 10(2). 264–264. 7 indexed citations
7.
Paap, Muirne C. S., et al.. (2020). Psychometric Properties of the Externalizing Spectrum Inventory: Replication and Extension across Clinical and Non-Clinical Samples. Journal of Personality Assessment. 103(3). 332–341. 8 indexed citations
8.
Böttcher, Michael, et al.. (2020). Prolonged Ketamine and Norketamine Excretion Profiles in Urine After Chronic Use. Journal of Clinical Psychopharmacology. 40(3). 300–304. 1 indexed citations
9.
Jong, Cornelis A. J. De, et al.. (2020). Premenstrual syndrome as a risk factor for relapse in GHB dependent patients: a case series. Journal of Substance Use. 25(4). 416–420. 1 indexed citations
10.
Dijkstra, Boukje A.G., Serge J. W. Walvoort, Wiebren Markus, et al.. (2019). Prevalence of cognitive impairment in patients with substance use disorder. Drug and Alcohol Review. 38(4). 435–442. 97 indexed citations
11.
Adomaitienė, Virginija, et al.. (2018). Changes over time in Lithuanian schoolchildren’s attitudes toward addictive behaviors: Promoting and preventing factors. PLoS ONE. 13(12). e0208481–e0208481.
12.
Markus, Wiebren, et al.. (2017). EMDR Therapy Reduces Intense Treatment-Resistant Cravings in a Case of Gamma-Hydroxybutyric Acid Addiction. Journal of EMDR Practice and Research. 11(1). 30–42. 10 indexed citations
13.
Markus, Wiebren, et al.. (2017). Demoralization in Patients With Substance Use and Co-Occurring Psychiatric Disorders. Journal of Dual Diagnosis. 13(2). 136–143. 9 indexed citations
14.
Jong, Cornelis A. J. De, Christine Goodair, Ilana Crome, et al.. (2016). Substance Misuse Education for Physicians: Why Older People are Important.. PubMed. 89(1). 97–103. 3 indexed citations
15.
Kamal, Rama, Boukje A.G. Dijkstra, A.J.M. Loonen, & Cornelis A. J. De Jong. (2016). The Effect of Co-occurring Substance Use on Gamma-hydroxybutyric Acid Withdrawal Syndrome. Journal of Addiction Medicine. 10(4). 229–235. 15 indexed citations
16.
Kamal, Rama, et al.. (2016). Psychiatric comorbidity, psychological distress, and quality of life in gamma-hydroxybutyrate-dependent patients. Journal of Addictive Diseases. 36(1). 72–79. 11 indexed citations
17.
Kamal, Rama, A.J.M. Loonen, Boukje A.G. Dijkstra, & Cornelis A. J. De Jong. (2015). Baclofen as Relapse Prevention in the Treatment of Gamma-Hydroxybutyrate Dependence. Journal of Clinical Psychopharmacology. 35(3). 313–318. 7 indexed citations
18.
Kamal, Rama, et al.. (2014). Baclofen and γ-Hydroxybutyrate (GHB), a Dangerous Combination. Journal of Addiction Medicine. 9(1). 75–77. 11 indexed citations
19.
Kamal, Rama, et al.. (2013). Decision rules for GHB (gamma-hydroxybutyric acid) detoxification: A vignette study. Drug and Alcohol Dependence. 135. 146–151. 8 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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