Gene‐Jack Wang

1.3k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Gene‐Jack Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Gene‐Jack Wang has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 3 papers in Cognitive Neuroscience and 2 papers in Pharmacology. Recurrent topics in Gene‐Jack Wang's work include Neuroscience and Neuropharmacology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Treatment of Major Depression (2 papers). Gene‐Jack Wang is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Treatment of Major Depression (2 papers). Gene‐Jack Wang collaborates with scholars based in United States. Gene‐Jack Wang's co-authors include Nora D. Volkow, Joanna S. Fowler, Robert Hitzemann, Dinko Franceschi, Jean Logan, Y.‐S. Ding, Mark J. Sedler, Linda Chang, Christopher Wong and Maria Leonido–Yee and has published in prestigious journals such as American Journal of Psychiatry, Magnetic Resonance in Medicine and Alcoholism Clinical and Experimental Research.

In The Last Decade

Gene‐Jack Wang

8 papers receiving 982 citations

Hit Papers

Association of Dopamine Transporter Reduction With Psycho... 2001 2026 2009 2017 2001 250 500 750
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.

  1. Association of Dopamine Transporter Reduction With Psychomotor Impairment in Methamphetamine Abusers
    2001 777 citations Nora D. Volkow, Linda Chang et al. American Journal of Psychiatry profile →

Peers

Gene‐Jack Wang
Gregory A. Schmunk United States
John Gatley United States
Audrey Perez United States
Nicholas E. Goeders United States
Verónica Bisagno Argentina
Carrie L. Wade United States
Patricia A. Broderick United States
Gene‐Jack Wang United States
Robert Hitzemann United States
Bader J. Cassin United States
Gregory A. Schmunk United States
Gene‐Jack Wang
Citations per year, relative to Gene‐Jack Wang Gene‐Jack Wang (= 1×) peers Gregory A. Schmunk

Countries citing papers authored by Gene‐Jack Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gene‐Jack Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene‐Jack Wang. 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 Gene‐Jack Wang. The network helps show where Gene‐Jack Wang may publish in the future.

Co-authorship network of co-authors of Gene‐Jack Wang

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

All Works

8 of 8 papers shown
1.
Thanos, Panayotis K., et al.. (2011). D‐cycloserine facilitates extinction of cocaine self‐administration in c57 mice. Synapse. 65(10). 1099–1105. 20 indexed citations
2.
Fowler, Joanna S., Y.‐S. Ding, Jean Logan, et al.. (2001). Species differences in [ 11 C]clorgyline binding in brain. Nuclear Medicine and Biology. 28(7). 779–785. 21 indexed citations
3.
Volkow, Nora D., Linda Chang, Gene‐Jack Wang, et al.. (2001). Association of Dopamine Transporter Reduction With Psychomotor Impairment in Methamphetamine Abusers. American Journal of Psychiatry. 158(3). 377–382. 777 indexed citations breakdown →
4.
Volkow, Nora D., Gene‐Jack Wang, Joanna S. Fowler, et al.. (2000). Resting brain metabolic activity in a 4 Tesla magnetic field. Magnetic Resonance in Medicine. 44(5). 701–705. 6 indexed citations
5.
Wang, Gene‐Jack, Nora D. Volkow, Dinko Franceschi, et al.. (2000). Regional Brain Metabolism During Alcohol Intoxication. Alcoholism Clinical and Experimental Research. 24(6). 822–829. 78 indexed citations
6.
Volkow, Nora D., Gene‐Jack Wang, John E. Overall, et al.. (1997). Regional Brain Metabolic Response to Lorazepam in Alcoholics during Early and Late Alcohol Detoxification. Alcoholism Clinical and Experimental Research. 21(7). 1278–1284. 69 indexed citations
7.
Volkow, Nora D., Joanna S. Fowler, Robert Hitzemann, & Gene‐Jack Wang. (1996). Neurochemical Mechanisms Underlying Responses to Psychostimulants. PsycEXTRA Dataset. 159. 322–48. 2 indexed citations
8.
Volkow, Nora D., Joanna S. Fowler, Jean Logan, et al.. (1996). Cocaine doses equivalent to those abused by humans occupy most of the dopamine transporters. Synapse. 24(4). 399–402. 30 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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2026