Gene‐Jack Wang
Impact in
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
Papers in
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- Neurotransmitter Receptor Influence on Behavior 5
- Neuroscience and Neuropharmacology Research 2
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- Functional Brain Connectivity Studies 3
- Neural and Behavioral Psychology Studies 2
- Co-authors
- Jean Logan (4 shared papers)Joanna S. Fowler (4 shared papers)Robert Hitzemann (3 shared papers)Naomi Pappas (3 shared papers)Nora D. Volkow (3 shared papers)Nora D. Volkow (6 shared papers)Alfred P. Wolf (3 shared papers)Robert MacGregor (2 shared papers)
- Journals
- Psychiatry Research Neuroimaging (1 paper)Nuclear Medicine and Biology (1 paper)American Journal of Psychiatry (1 paper)Psychiatry Research (1 paper)Psychophysiology (1 paper)
- Partner nations
- United States
In The Last Decade
Gene‐Jack Wang
10 papers receiving 957 citations
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 445
- Cognitive Neuroscience 364
- Psychiatry and Mental health 168
- Biological Psychiatry 23
- Neurology 101
Countries citing papers authored by Gene‐Jack Wang
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
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-authors
The 25 scholars most cited alongside Gene‐Jack Wang, 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 | 1994 | 323 | |
| 2 | 2000 | 233 | |
| 3 | 1996 | 124 | |
| 4 | 1996 | 121 | |
| 5 | 2008 | 49 | |
| 6 | 2012 | 40 | |
| 7 | 1995 | 39 | |
| 8 | 2012 | 25 | |
| 9 | 1998 | 16 | |
| 10 | 1994 | 2 |
About Gene‐Jack Wang
Gene‐Jack Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 10 papers that have together received 972 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (5 papers), Functional Brain Connectivity Studies (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Neural and Behavioral Psychology Studies (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Forensic Toxicology and Drug Analysis (1 paper) and Substance Abuse Treatment and Outcomes (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (445 citations), Cognitive Neuroscience (364 citations), Psychiatry and Mental health (168 citations), Biological Psychiatry (23 citations) and Neurology (101 citations). Gene‐Jack Wang has collaborated with scholars based in United States. Frequent co-authors include Jean Logan, Joanna S. Fowler, Robert Hitzemann, Naomi Pappas, Nora D. Volkow, Nora D. Volkow, Alfred P. Wolf, Robert MacGregor, David J. Schlyer and Yu‐Shin Ding. Their work appears in journals such as Psychiatry Research Neuroimaging, Nuclear Medicine and Biology, American Journal of Psychiatry, Psychiatry Research and Psychophysiology.
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.