T. Lee
Impact in
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
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- Neurotransmitter Receptor Influence on Behavior 3
- Axon Guidance and Neuronal Signaling 1
- Neuroscience and Neuropharmacology Research 1
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- Schizophrenia research and treatment 2
- Co-authors
- Philip M. Seeman (4 shared papers)Kwok-Ying Wong (1 shared paper)M. Chau-Wong (1 shared paper)Gregory M. Brown (1 shared paper)James I. Nagy (1 shared paper)H. Christian Fibiger (1 shared paper)Lei Shi (1 shared paper)Jie Yang (1 shared paper)
- Journals
- Nature (2 papers)Nature Communications (1 paper)Endocrinology (1 paper)Journal of Neuroscience (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
T. Lee
6 papers receiving 1.7k citations
T. Lee's Hit Papers
Peers
Comparison fields: 5 of 95
- Cellular and Molecular Neuroscience 1.1k
- Biological Psychiatry 114
- Psychiatry and Mental health 614
- Behavioral Neuroscience 42
- Neurology 158
Countries citing papers authored by T. Lee
This map shows the geographic impact of T. Lee'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 T. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lee more than expected).
Fields of papers citing papers by T. Lee
This network shows the impact of papers produced by T. Lee. 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 T. Lee. The network helps show where T. Lee may publish in the future.
Co-authors
The 13 scholars most cited alongside T. Lee, 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 | Antipsychotic drug doses and neuroleptic/dopamine receptors Hit paper breakdown → | 1976 | 1421 |
| 2 | 1978 | 196 | |
| 3 | 1976 | 151 | |
| 4 | 2007 | 40 | |
| 5 | 2024 | 18 | |
| 6 | 1982 | 11 |
About T. Lee
T. Lee is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Endocrine and Autonomic Systems, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 6 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (3 papers), Receptor Mechanisms and Signaling (3 papers), Schizophrenia research and treatment (2 papers), Microtubule and mitosis dynamics (1 paper), Axon Guidance and Neuronal Signaling (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Hypothalamic control of reproductive hormones (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Biological Psychiatry (114 citations), Psychiatry and Mental health (614 citations), Behavioral Neuroscience (42 citations) and Neurology (158 citations). T. Lee has collaborated with scholars based in Canada and United States. Frequent co-authors include Philip M. Seeman, Kwok-Ying Wong, M. Chau-Wong, Gregory M. Brown, James I. Nagy, H. Christian Fibiger, Lei Shi, Jie Yang, Hung–Hsiang Yu and Susanna Molas. Their work appears in journals such as Nature, Nature Communications, Endocrinology, Journal of Neuroscience and Elsevier eBooks.
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.