David J. Vandenbergh
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- Neurotransmitter Receptor Influence on Behavior 24
- Neuroscience and Neuropharmacology Research 9
- Psychiatry and Mental health top 2%
- Developmental Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals 19
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- Receptor Mechanisms and Signaling 11
- Nicotinic Acetylcholine Receptors Study 9
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- Smoking Behavior and Cessation 9
- Adipose Tissue and Metabolism 9
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- Child and Adolescent Psychosocial and Emotional Development 9
- Co-authors
- George R. UhlAntonio M. PersicoDavid AndersonChristopher J. SchoenherrEthylin Wang JabsXiang LiAnita L. HawkinsConstance A. Griffin
- Partner nations
- United StatesSwedenFrance
In The Last Decade
David J. Vandenbergh
100 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cellular and Molecular Neuroscience 1.3k
- Psychiatry and Mental health 573
- Developmental Neuroscience 107
- Cognitive Neuroscience 479
- Genetics 643
Countries citing papers authored by David J. Vandenbergh
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
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
The 25 scholars most cited alongside David J. Vandenbergh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 1 | |
| 2 | 2018 | 7 | |
| 3 | 2017 | 11 | |
| 4 | 2015 | 13 | |
| 5 | 2014 | 6 | |
| 6 | 2014 | 125 | |
| 7 | 2011 | 11 | |
| 8 | 2010 | 8 | |
| 9 | 2009 | 4 | |
| 10 | 2008 | 1 | |
| 11 | 2006 | 62 | |
| 12 | 2006 | 47 | |
| 13 | 2005 | 21 | |
| 14 | 2004 | 85 | |
| 15 | 2000 | 112 | |
| 16 | 1996 | 25 | |
| 17 | 1995 | 23 | |
| 18 | 1994 | 5 | |
| 19 | 1993 | 14 | |
| 20 | Human dopamine transporter gene (DAT1) maps to chromosome 5p15.3 and displays a VNTRbreakdown → | 1992 | 586 |
About David J. Vandenbergh
David J. Vandenbergh is a scholar working on Cellular and Molecular Neuroscience, Genetics and Behavioral Neuroscience, having authored 101 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (24 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers), Receptor Mechanisms and Signaling (11 papers), Smoking Behavior and Cessation (9 papers), Child and Adolescent Psychosocial and Emotional Development (9 papers), Neuroscience and Neuropharmacology Research (9 papers), Adipose Tissue and Metabolism (9 papers) and Nicotinic Acetylcholine Receptors Study (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Psychiatry and Mental health (573 citations) and Developmental Neuroscience (107 citations). David J. Vandenbergh has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include George R. Uhl, Antonio M. Persico, George R. Uhl, David Anderson, Christopher J. Schoenherr, Ethylin Wang Jabs, Xiang Li, Anita L. Hawkins, Constance A. Griffin and George P. Vogler. Their work appears in journals such as Neuron, Journal of Neuroscience and Journal of Molecular Biology.
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.