David Baron

764 total citations
43 papers, 434 citations indexed

About

David Baron is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, David Baron has authored 43 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Psychiatry and Mental health, 18 papers in Cellular and Molecular Neuroscience and 8 papers in Pharmacology. Recurrent topics in David Baron's work include Attention Deficit Hyperactivity Disorder (18 papers), Neurotransmitter Receptor Influence on Behavior (17 papers) and Traumatic Brain Injury Research (6 papers). David Baron is often cited by papers focused on Attention Deficit Hyperactivity Disorder (18 papers), Neurotransmitter Receptor Influence on Behavior (17 papers) and Traumatic Brain Injury Research (6 papers). David Baron collaborates with scholars based in United States, Israel and Hungary. David Baron's co-authors include Kenneth Blum, Mark S. Gold, Rajendra D. Badgaiyan, Abdalla Bowirrat, Daniel Schmidt, Thomas McLaughlin, Lisa Lott, Edward J. Modestino, Dan E Miulli and David Siwicki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.

In The Last Decade

David Baron

37 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Baron United States 14 149 134 99 75 56 43 434
Mieke H. J. Schulte Netherlands 12 88 0.6× 85 0.6× 53 0.5× 109 1.5× 30 0.5× 21 425
Gabi Koller Germany 14 270 1.8× 74 0.6× 86 0.9× 147 2.0× 44 0.8× 31 559
Amir Minerbi Israel 11 196 1.3× 143 1.1× 137 1.4× 179 2.4× 106 1.9× 25 589
Deborah A. Deliyannides United States 11 55 0.4× 170 1.3× 180 1.8× 52 0.7× 52 0.9× 18 448
Jessica Hawkins United States 11 158 1.1× 71 0.5× 347 3.5× 71 0.9× 44 0.8× 19 610
Ashley Kennedy United States 14 175 1.2× 42 0.3× 46 0.5× 172 2.3× 49 0.9× 20 629
Mathias Luderer Germany 10 87 0.6× 214 1.6× 34 0.3× 139 1.9× 24 0.4× 25 382
Michaela Hoffman United States 14 104 0.7× 62 0.5× 46 0.5× 169 2.3× 35 0.6× 28 543
Helga Welzel Germany 7 248 1.7× 72 0.5× 245 2.5× 175 2.3× 20 0.4× 8 542
Jennifer E. Learn United States 7 271 1.8× 62 0.5× 52 0.5× 142 1.9× 35 0.6× 10 441

Countries citing papers authored by David Baron

Since Specialization
Citations

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

Fields of papers citing papers by David Baron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Baron. 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 David Baron. The network helps show where David Baron may publish in the future.

Co-authorship network of co-authors of David Baron

This figure shows the co-authorship network connecting the top 25 collaborators of David Baron. A scholar is included among the top collaborators of David Baron 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 David Baron. David Baron 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.
Baron, David, Thomas McLaughlin, Mauro Ceccanti, et al.. (2024). Summary Document Research on RDS Anti-addiction Modeling: Annotated Bibliography. PubMed. 8(1). 1–33. 2 indexed citations
3.
Blum, Kenneth, Thomas McLaughlin, Mark S. Gold, et al.. (2023). Are We Getting High Cause the Thrill is Gone?. PubMed. 7(1). 5–516. 1 indexed citations
4.
Mack, Wendy J., Cynthia Bir, David Baron, et al.. (2023). Longitudinal, prospective study of head impacts in male high school football players. PLoS ONE. 18(9). e0291374–e0291374. 2 indexed citations
5.
Baron, David, Thomas Wenzel, Andreas Ströhle, & Todd Stull. (2023). Sport and Mental Health. 3 indexed citations
6.
Thanos, Panayotis K., Aaron B. Hoffman, C.E. Smith, et al.. (2023). The First Exploratory Personalized Medicine Approach to Improve Bariatric Surgery Outcomes Utilizing Psychosocial and Genetic Risk Assessments: Encouraging Clinical Research. Journal of Personalized Medicine. 13(7). 1164–1164. 9 indexed citations
7.
8.
Radwan, Mohamed M., et al.. (2023). A Swine Model of Changes in the Neuronal Electromagnetic Field After Traumatic Brain Injury: A Pilot Study. Cureus. 15(7). e41763–e41763. 11 indexed citations
9.
Bailleux, Caroline, C. Zwarthoed, Ludovic Evesque, et al.. (2023). Prognostic impact of post-treatment FDG PET/CT in anal canal cancer: A prospective study. Radiotherapy and Oncology. 188. 109905–109905.
10.
Modestino, Edward J., Kenneth Blum, Debasis Bagchi, et al.. (2022). Theorizing the Role of Dopaminergic Polymorphic Risk Alleles with Intermittent Explosive Disorder (IED), Violent/Aggressive Behavior and Addiction: Justification of Genetic Addiction Risk Severity (GARS) Testing. Journal of Personalized Medicine. 12(12). 1946–1946. 11 indexed citations
11.
12.
Blum, Kenneth, Abdalla Bowirrat, Eric R. Braverman, et al.. (2021). Reward Deficiency Syndrome (RDS): A Cytoarchitectural Common Neurobiological Trait of All Addictions. International Journal of Environmental Research and Public Health. 18(21). 11529–11529. 15 indexed citations
13.
Blum, Kenneth, Edward J. Modestino, Debasis Bagchi, et al.. (2021). A Novel Precision Approach to Overcome the “Addiction Pandemic” by Incorporating Genetic Addiction Risk Severity (GARS) and Dopamine Homeostasis Restoration. Journal of Personalized Medicine. 11(3). 212–212. 15 indexed citations
14.
Blum, Kenneth, Mark S. Gold, Panayotis K. Thanos, et al.. (2021). Hypothesizing Nutrigenomic-Based Precision Anti-Obesity Treatment and Prophylaxis: Should We Be Targeting Sarcopenia Induced Brain Dysfunction?. International Journal of Environmental Research and Public Health. 18(18). 9774–9774. 10 indexed citations
15.
Blum, Kenneth, Lisa Lott, Marjorie C. Gondré‐Lewis, et al.. (2021). High Genetic Addiction Risk Score (GARS) in Chronically Prescribed Severe Chronic Opioid Probands Attending Multi-pain Clinics: an Open Clinical Pilot Trial. Molecular Neurobiology. 58(7). 3335–3346. 23 indexed citations
16.
Blum, Kenneth, Abdalla Bowirrat, Edward J. Modestino, et al.. (2020). Transmodulation of Dopaminergic Signaling to Mitigate Hypodopminergia and Pharmaceutical Opioid-induced Hyperalgesia. PubMed. 9(3). 164–184. 1 indexed citations
17.
Blum, Kenneth, David Baron, Thomas McLaughlin, & Mark S. Gold. (2020). Molecular neurological correlates of endorphinergic/dopaminergic mechanisms in reward circuitry linked to endorphinergic deficiency syndrome (EDS). Journal of the Neurological Sciences. 411. 116733–116733. 28 indexed citations
18.
Blum, Kenneth, Lisa Lott, David Baron, et al.. (2020). Improving naltrexone compliance and outcomes with putative pro- dopamine regulator KB220, compared to treatment as usual. PubMed. 6(3). 14 indexed citations
19.
Blum, Kenneth, David Baron, Lisa Lott, et al.. (2019). In Search of Reward Deficiency Syndrome (RDS)-Free Controls: The “Holy Grail” in Genetic Addiction Risk Testing. PubMed. 9(1). 7–21. 20 indexed citations
20.
Blum, Kenneth, David Siwicki, David Baron, Edward J. Modestino, & Rajendra D. Badgaiyan. (2018). The benefits of genetic addiction risk score (GARS®) and pro-dopamine regulation in combating suicide in the American Indian population. PubMed. 4(2). 9 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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