Sherry Lam
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Pharmacology top 10%
- Treatment of Major Depression
Papers in
-
- Neuroscience and Neuropharmacology Research 3
- Neurotransmitter Receptor Influence on Behavior 2
- Neuropeptides and Animal Physiology 1
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- Receptor Mechanisms and Signaling 2
- Co-authors
- Michael Michaelides (6 shared papers)Jordi Bonaventura (7 shared papers)Juan L. Gomez (5 shared papers)Craig J. Thomas (2 shared papers)Patrick J. Morris (3 shared papers)Carlos A. Zarate (2 shared papers)Marta Sánchez‐Soto (2 shared papers)David R. Sibley (2 shared papers)
- Journals
- Molecular Psychiatry (2 papers)European Journal of Medicinal Chemistry (1 paper)Translational Psychiatry (1 paper)Neuropsychopharmacology (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Sherry Lam
7 papers receiving 237 citations
Peers
Comparison fields: 5 of 46
- Biological Psychiatry 122
- Pharmacology 155
- Cellular and Molecular Neuroscience 119
- Behavioral Neuroscience 23
- Developmental Neuroscience 12
Countries citing papers authored by Sherry Lam
This map shows the geographic impact of Sherry Lam'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 Sherry Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherry Lam more than expected).
Fields of papers citing papers by Sherry Lam
This network shows the impact of papers produced by Sherry Lam. 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 Sherry Lam. The network helps show where Sherry Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Sherry Lam, 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 | 178 | |
| 2 | 2022 | 27 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 6 | |
| 5 | 2020 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2023 | 4 |
About Sherry Lam
Sherry Lam is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Biological Psychiatry and Neurology, having authored 7 papers that have together received 238 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Tryptophan and brain disorders (2 papers), Treatment of Major Depression (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Trace Elements in Health (1 paper), Computational Drug Discovery Methods (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Biological Psychiatry (122 citations), Pharmacology (155 citations), Cellular and Molecular Neuroscience (119 citations), Behavioral Neuroscience (23 citations) and Developmental Neuroscience (12 citations). Sherry Lam has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Michael Michaelides, Jordi Bonaventura, Juan L. Gomez, Craig J. Thomas, Patrick J. Morris, Carlos A. Zarate, Marta Sánchez‐Soto, David R. Sibley, Óscar Solís and Ida Fredriksson. Their work appears in journals such as Molecular Psychiatry, European Journal of Medicinal Chemistry, Translational Psychiatry, Neuropsychopharmacology and Science Translational Medicine.
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.