Thomas Chartrand
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 3
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- Neural dynamics and brain function 4
- Visual perception and processing mechanisms 1
- Co-authors
- Christof Koch (2 shared papers)Bosiljka Tasic (2 shared papers)Costas A. Anastassiou (2 shared papers)Zizhen Yao (2 shared papers)Uygar Sümbül (2 shared papers)Werner A. H. Van Geit (2 shared papers)Anatoly Buchin (2 shared papers)Soo Yeun Lee (2 shared papers)
- Journals
- Science (3 papers)Cell Reports (2 papers)Nature Methods (1 paper)Nature (1 paper)Journal of Mathematical Biology (1 paper)
- Partner nations
- United StatesNetherlandsHungary
In The Last Decade
Thomas Chartrand
8 papers receiving 529 citations
Thomas Chartrand's Hit Papers
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 288
- Cellular and Molecular Neuroscience 231
- Neurology 79
- Biophysics 56
- Developmental Neuroscience 29
Countries citing papers authored by Thomas Chartrand
This map shows the geographic impact of Thomas Chartrand'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 Thomas Chartrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Chartrand more than expected).
Fields of papers citing papers by Thomas Chartrand
This network shows the impact of papers produced by Thomas Chartrand. 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 Thomas Chartrand. The network helps show where Thomas Chartrand may publish in the future.
Co-authors
The 17 scholars most cited alongside Thomas Chartrand, 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 | 184 | |
| 2 | Local connectivity and synaptic dynamics in mouse and human neocortex Hit paper breakdown → | 2022 | 173 |
| 3 | 2023 | 69 | |
| 4 | 2023 | 55 | |
| 5 | 2023 | 23 | |
| 6 | 2022 | 22 | |
| 7 | 2015 | 4 | |
| 8 | 2022 | 3 | |
| 9 | 2026 | 0 |
About Thomas Chartrand
Thomas Chartrand is a scholar working on Neurology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biophysics and Molecular Biology, having authored 9 papers that have together received 533 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neural Engineering (2 papers), Receptor Mechanisms and Signaling (2 papers), Cell Image Analysis Techniques (2 papers) and Visual perception and processing mechanisms (1 paper). The work is most often cited by research in Cognitive Neuroscience (288 citations), Cellular and Molecular Neuroscience (231 citations), Neurology (79 citations), Biophysics (56 citations) and Developmental Neuroscience (29 citations). Thomas Chartrand has collaborated with scholars based in United States, Netherlands and Hungary. Frequent co-authors include Christof Koch, Bosiljka Tasic, Costas A. Anastassiou, Zizhen Yao, Uygar Sümbül, Werner A. H. Van Geit, Anatoly Buchin, Soo Yeun Lee, Anirban Nandi and Brian Lee. Their work appears in journals such as Science, Cell Reports, Nature Methods, Nature and Journal of Mathematical Biology.
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.