David Baron

6.7k total citations
177 papers, 2.9k citations indexed

About

David Baron is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Clinical Psychology. According to data from OpenAlex, David Baron has authored 177 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Psychiatry and Mental health, 39 papers in Cellular and Molecular Neuroscience and 29 papers in Clinical Psychology. Recurrent topics in David Baron's work include Neurotransmitter Receptor Influence on Behavior (30 papers), Attention Deficit Hyperactivity Disorder (27 papers) and Child and Adolescent Psychosocial and Emotional Development (11 papers). David Baron is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (30 papers), Attention Deficit Hyperactivity Disorder (27 papers) and Child and Adolescent Psychosocial and Emotional Development (11 papers). David Baron collaborates with scholars based in United States, Hungary and Israel. David Baron's co-authors include Gerald J. Stahler, Jeremy Mennis, Kenneth Blum, Rajendra D. Badgaiyan, Thomas Hardie, Scott M. Rawls, John E. Heffner, Cynthia Zamora, Eric R. Braverman and David McDuff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

David Baron

169 papers receiving 2.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Baron 530 468 447 434 389 177 2.9k
Alexandre A. Todorov 899 1.7× 421 0.9× 634 1.4× 888 2.0× 387 1.0× 102 4.1k
C. François 849 1.6× 936 2.0× 557 1.2× 317 0.7× 483 1.2× 177 4.8k
Panagiotis Zis 602 1.1× 423 0.9× 300 0.7× 381 0.9× 535 1.4× 158 4.3k
Eun Lee 893 1.7× 251 0.5× 579 1.3× 562 1.3× 245 0.6× 258 4.3k
Shaheen E Lakhan 529 1.0× 322 0.7× 779 1.7× 271 0.6× 325 0.8× 87 3.9k
Masayo Kojima 714 1.3× 284 0.6× 532 1.2× 436 1.0× 165 0.4× 150 4.5k
Masatoshi Inagaki 508 1.0× 312 0.7× 343 0.8× 811 1.9× 182 0.5× 169 3.6k
Susan Ball 798 1.5× 304 0.6× 400 0.9× 856 2.0× 708 1.8× 142 5.9k
Johan Duflou 445 0.8× 601 1.3× 463 1.0× 445 1.0× 513 1.3× 120 3.6k
Po‐Hsiu Kuo 647 1.2× 385 0.8× 1.2k 2.8× 544 1.3× 275 0.7× 209 4.3k

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.
Blum, Kenneth, David Baron, Kai‐Uwe Lewandrowski, et al.. (2025). Exercise Leads to Brain Glucose Metabolism Activation, Increased Dopamine D1 Receptor Levels and is Negatively Correlated with Social Behavior. Journal of Integrative Neuroscience. 24(6). 36646–36646. 1 indexed citations
3.
Baron, David, et al.. (2024). Assessing concussion knowledge among students with varying levels of sports involvement. SHILAP Revista de lepidopterología. 4(1). 13–20.
5.
Blum, Kenneth, Paul R. Carney, Panayotis K. Thanos, et al.. (2023). Psychostimulants for Children: Are We Over or Under Dosing?. PubMed. 7(1). 1–4.
6.
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
7.
Madigan, Margaret, Ashim Gupta, Abdalla Bowirrat, et al.. (2022). Precision Behavioral Management (PBM) and Cognitive Control as a Potential Therapeutic and Prophylactic Modality for Reward Deficiency Syndrome (RDS): Is There Enough Evidence?. International Journal of Environmental Research and Public Health. 19(11). 6395–6395. 5 indexed citations
8.
Braverman, Eric R., Mark S. Gold, Abdalla Bowirrat, et al.. (2022). Proposing a “Brain Health Checkup (BHC)” as a Global Potential “Standard of Care” to Overcome Reward Dysregulation in Primary Care Medicine: Coupling Genetic Risk Testing and Induction of “Dopamine Homeostasis”. International Journal of Environmental Research and Public Health. 19(9). 5480–5480. 7 indexed citations
9.
Blum, Kenneth, Mark S. Brodie, Subhash C. Pandey, et al.. (2022). Researching Mitigation of Alcohol Binge Drinking in Polydrug Abuse: KCNK13 and RASGRF2 Gene(s) Risk Polymorphisms Coupled with Genetic Addiction Risk Severity (GARS) Guiding Precision Pro-Dopamine Regulation. Journal of Personalized Medicine. 12(6). 1009–1009. 9 indexed citations
10.
Gondré‐Lewis, Marjorie C., Igor Elman, Tanya N. Alim, et al.. (2022). Frequency of the Dopamine Receptor D3 (rs6280) vs. Opioid Receptor µ1 (rs1799971) Polymorphic Risk Alleles in Patients with Opioid Use Disorder: A Preponderance of Dopaminergic Mechanisms?. Biomedicines. 10(4). 870–870. 13 indexed citations
11.
Gupta, Ashim, Abdalla Bowirrat, David Baron, et al.. (2022). Hypothesizing in the Face of the Opioid Crisis Coupling Genetic Addiction Risk Severity (GARS) Testing with Electrotherapeutic Nonopioid Modalities Such as H-Wave Could Attenuate Both Pain and Hedonic Addictive Behaviors. International Journal of Environmental Research and Public Health. 19(1). 552–552. 7 indexed citations
12.
Blum, Kenneth, Igor Elman, Abdalla Bowirrat, et al.. (2022). Should Reward Deficiency Syndrome (RDS) Be Considered an Umbrella Disorder for Mental Illness and Associated Genetic and Epigenetic Induced Dysregulation of Brain Reward Circuitry?. Journal of Personalized Medicine. 12(10). 1719–1719. 10 indexed citations
13.
Blum, Kenneth, Thomas McLaughlin, Abdalla Bowirrat, et al.. (2022). Reward Deficiency Syndrome (RDS) Surprisingly Is Evolutionary and Found Everywhere: Is It “Blowin’ in the Wind”?. Journal of Personalized Medicine. 12(2). 321–321. 23 indexed citations
15.
Ojio, Yasutaka, et al.. (2020). Developing a Japanese Version of the Baron Depression Screener for Athletes among Male Professional Rugby Players. International Journal of Environmental Research and Public Health. 17(15). 5533–5533. 8 indexed citations
17.
Modestino, Edward J., David Siwicki, Lisa Lott, et al.. (2019). Hypodopaminergia and “Precision Behavioral Management” (PBM): It is a Generational Family Affair. Current Pharmaceutical Biotechnology. 21(6). 528–541. 40 indexed citations
19.
Febo, Marcelo, Kenneth Blum, Rajendra D. Badgaiyan, et al.. (2017). Enhanced functional connectivity and volume between cognitive and reward centers of naïve rodent brain produced by pro-dopaminergic agent KB220Z. PLoS ONE. 12(4). e0174774–e0174774. 48 indexed citations
20.
Baron, David, et al.. (1998). The sobering effects of binge drinking. Journal of Osteopathic Medicine. 98(10). 530–531. 3 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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