Tammy Tran
Impact in
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- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
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- Memory and Neural Mechanisms 7
- Functional Brain Connectivity Studies 2
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- Alzheimer's disease research and treatments 4
- Co-authors
- Arnold Bakker (6 shared papers)Michela Gallagher (6 shared papers)Caroline L. Speck (4 shared papers)Steven J. Steinberg (1 shared paper)Li Chen (1 shared paper)Rui Zhang (1 shared paper)Hey‐Kyoung Lee (2 shared papers)Ann B. Moser (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Learning & Memory (2 papers)iScience (1 paper)Alzheimer s & Dementia (1 paper)Molecular Genetics and Metabolism (1 paper)
- Partner nations
- United StatesChileIndia
In The Last Decade
Tammy Tran
16 papers receiving 211 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 88
- Developmental Neuroscience 15
- Cellular and Molecular Neuroscience 61
- Behavioral Neuroscience 10
- Neurology 19
Countries citing papers authored by Tammy Tran
This map shows the geographic impact of Tammy Tran'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 Tammy Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tammy Tran more than expected).
Fields of papers citing papers by Tammy Tran
This network shows the impact of papers produced by Tammy Tran. 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 Tammy Tran. The network helps show where Tammy Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Tammy Tran, 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 | 2009 | 51 | |
| 2 | 2016 | 35 | |
| 3 | 2014 | 26 | |
| 4 | 2013 | 25 | |
| 5 | 2021 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2015 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2025 | 0 |
About Tammy Tran
Tammy Tran is a scholar working on Cognitive Neuroscience, Physiology, Molecular Biology, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 212 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (7 papers), Alzheimer's disease research and treatments (4 papers), Dementia and Cognitive Impairment Research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), CRISPR and Genetic Engineering (2 papers), Functional Brain Connectivity Studies (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (88 citations), Developmental Neuroscience (15 citations), Cellular and Molecular Neuroscience (61 citations), Behavioral Neuroscience (10 citations) and Neurology (19 citations). Tammy Tran has collaborated with scholars based in United States, Chile and India. Frequent co-authors include Arnold Bakker, Michela Gallagher, Caroline L. Speck, Steven J. Steinberg, Li Chen, Rui Zhang, Hey‐Kyoung Lee, Ann B. Moser, Nancy Braverman and Graeme Nimmo. Their work appears in journals such as Journal of Neuroscience, Learning & Memory, iScience, Alzheimer s & Dementia and Molecular Genetics and Metabolism.
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.