David J. Vandenbergh

4.4k total citations · 1 hit paper
101 papers, 3.6k citations indexed

About

David J. Vandenbergh is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, David J. Vandenbergh has authored 101 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 32 papers in Genetics and 28 papers in Cellular and Molecular Neuroscience. Recurrent topics in David J. Vandenbergh's work include Neurotransmitter Receptor Influence on Behavior (24 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers) and Receptor Mechanisms and Signaling (11 papers). David J. Vandenbergh is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (24 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers) and Receptor Mechanisms and Signaling (11 papers). David J. Vandenbergh collaborates with scholars based in United States, France and Sweden. David J. Vandenbergh's co-authors include George R. Uhl, Antonio M. Persico, George R. Uhl, David Anderson, Christopher J. Schoenherr, Xiang Li, Ethylin Wang Jabs, Constance A. Griffin, Anita L. Hawkins and George P. Vogler and has published in prestigious journals such as Neuron, Journal of Neuroscience and Journal of Molecular Biology.

In The Last Decade

David J. Vandenbergh

100 papers receiving 3.5k 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.

Human dopamine transporter gene (DAT1) maps to chromosome 5p15.3 and displays a VNTR

1992 586 citations David J. Vandenbergh, Antonio M. Persico et al. Genomics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David J. Vandenbergh United States	29	1.3k	1.3k	643	573	479	101	3.6k
Rainald Mößner Germany	37	1.6k 1.2×	2.1k 1.5×	535 0.8×	804 1.4×	705 1.5×	99	5.2k
Albert H.C. Wong Canada	38	2.0k 1.5×	1.2k 0.9×	870 1.4×	778 1.4×	528 1.1×	120	4.5k
Ronald S. Oosting Netherlands	39	1.9k 1.4×	2.0k 1.5×	480 0.7×	733 1.3×	858 1.8×	97	5.7k
Daniël van den Hove Netherlands	45	2.1k 1.5×	923 0.7×	652 1.0×	404 0.7×	452 0.9×	138	5.9k
Terry Ritchie United States	27	787 0.6×	1.3k 1.0×	387 0.6×	589 1.0×	415 0.9×	46	2.8k
George R. Uhl United States	26	1.6k 1.2×	2.0k 1.5×	331 0.5×	356 0.6×	348 0.7×	57	3.1k
Carl Ernst Canada	34	2.1k 1.5×	926 0.7×	903 1.4×	335 0.6×	476 1.0×	71	4.5k
Graziano Pinna United States	43	1.1k 0.8×	1.8k 1.4×	543 0.8×	290 0.5×	467 1.0×	108	5.5k
Simon J. Evans United States	34	1.8k 1.3×	971 0.7×	537 0.8×	620 1.1×	401 0.8×	65	4.4k
Patricia Boksa Canada	36	1.3k 1.0×	1.5k 1.1×	257 0.4×	447 0.8×	417 0.9×	126	5.3k

Countries citing papers authored by David J. Vandenbergh

Since Specialization

Citations

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

Fields of papers citing papers by David J. Vandenbergh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Vandenbergh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Anisimova, Maria, et al.. (2023). A novel hypervariable variable number tandem repeat in the dopamine transporter gene (SLC6A3). Life Science Alliance. 6(4). e202201677–e202201677. 3 indexed citations

Chen, Yufen, Amy A. Herrold, Alexa E. Walter, et al.. (2021). Brain Perfusion Bridges Virtual-Reality Spatial Behavior to TPH2 Genotype for Head Acceleration Events. Journal of Neurotrauma. 38(10). 1368–1376. 1 indexed citations

Walter, Alexa E., Amy A. Herrold, Peter H. Seidenberg, et al.. (2018). KIAA0319 Genotype Predicts the Number of Past Concussions in a Division I Football Team: A Pilot Study. Journal of Neurotrauma. 36(7). 1115–1124. 7 indexed citations

Cleveland, H. Harrington, Gabriel L. Schlomer, David J. Vandenbergh, et al.. (2017). Associations between alcohol dehydrogenase genes and alcohol use across early and middle adolescence: Moderation × Preventive intervention. Development and Psychopathology. 30(1). 297–313. 11 indexed citations

Cleveland, H. Harrington, Amanda M. Griffin, Pedro S. A. Wolf, et al.. (2017). Transactions Between Substance Use Intervention, the Oxytocin Receptor (OXTR) Gene, and Peer Substance Use Predicting Youth Alcohol Use. Prevention Science. 19(1). 15–26. 11 indexed citations

Massimo, Lauren, Elizabeth Muñoz, Nikki L. Hill, et al.. (2016). Genetic and environmental factors associated with delirium severity in older adults with dementia. International Journal of Geriatric Psychiatry. 32(5). 574–581. 10 indexed citations

Vandenbergh, David J., Gabriel L. Schlomer, H. Harrington Cleveland, et al.. (2015). An Adolescent Substance Prevention Model Blocks the Effect ofCHRNA5Genotype on Smoking During High School. Nicotine & Tobacco Research. 18(2). 212–220. 11 indexed citations

Vandenbergh, David J. & Gabriel L. Schlomer. (2014). Finding genomic function for genetic associations in nicotine addiction research: The ENCODE project's role in future pharmacogenomic analysis. Pharmacology Biochemistry and Behavior. 123. 34–44. 6 indexed citations

Anthony, Kate, et al.. (2010). Perinatal nicotine exposure delays genital development in mice. Reproductive Toxicology. 29(3). 378–380. 8 indexed citations

10.

Foreman, Jennifer E., Arimantas Lionikas, Neil A. Sharkey, et al.. (2009). Genetic architecture for hole‐board behaviors across substantial time intervals in young, middle‐aged and old mice. Genes Brain & Behavior. 8(7). 714–727. 4 indexed citations

11.

Lang, Dean, George P. Vogler, David J. Vandenbergh, et al.. (2006). QTL Analysis of Trabecular Bone in BXD F2 and RI Mice. Journal of Bone and Mineral Research. 21(8). 1267–1275. 17 indexed citations

12.

Foreman, Jennifer E., David A. Blizard, Glenn S. Gerhard, et al.. (2005). Serum alkaline phosphatase activity is regulated by a chromosomal region containing the alkaline phosphatase 2 gene (Akp2) in C57BL/6J and DBA/2J mice. Physiological Genomics. 23(3). 295–303. 15 indexed citations

13.

Klein, Laura Cousino, et al.. (2004). Sex differences in voluntary oral nicotine consumption by adolescent mice: a dose-response experiment. Pharmacology Biochemistry and Behavior. 78(1). 13–25. 85 indexed citations

14.

McClearn, Gerald E. & David J. Vandenbergh. (2000). Structure and Limits of Animal Models: Examples from Alcohol Research. ILAR Journal. 41(3). 144–152. 4 indexed citations

15.

Vandenbergh, David J., Miles D. Thompson, Edwin H. Cook, et al.. (2000). Human dopamine transporter gene: coding region conservation among normal, Tourette's disorder, alcohol dependence and attention-deficit hyperactivity disorder populations. Molecular Psychiatry. 5(3). 283–292. 112 indexed citations

16.

Uhl, George R., David J. Vandenbergh, & Lucinda L. Miner. (1996). Drug addiction: Knockout mice and dirty drugs. Current Biology. 6(8). 935–936. 25 indexed citations

17.

Gelernter, Joel, David J. Vandenbergh, Susan Kruger, et al.. (1995). The Dopamine Transporter Protein Gene (SLC6A3): Primary Linkage Mapping and Linkage Studies in Tourette Syndrome. Genomics. 30(3). 459–463. 23 indexed citations

18.

Persico, Antonio M., David J. Vandenbergh, Stevens S. Smith, & George R. Uhl. (1993). Dopamine transporter gene polymorphisms are not associated with polysubstance abuse. Biological Psychiatry. 34(4). 265–267. 52 indexed citations

19.

Vanderheijden, Nathalie, Laurence De Moerlooze, David J. Vandenbergh, et al.. (1993). Expression of the bovine viral diarrhoea virus Osloss p80 protein: its use as ELISA antigen for cattle serum antibody detection. Journal of General Virology. 74(7). 1427–1431. 24 indexed citations

20.

Vandenbergh, David J., Antonio M. Persico, & George R. Uhl. (1992). A human dopamine transporter cDNA predicts reduced glycosylation, displays a novel repetitive element and provides racially-dimorphic TaqI RFLPs. Molecular Brain Research. 15(1-2). 161–166. 186 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.

Explore authors with similar magnitude of impact