Grace Williams
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Cell Image Analysis Techniques 3
- Advanced Fluorescence Microscopy Techniques 2
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- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Teresa Ann Murray (1 shared paper)
- Journals
- Nature (4 papers)Science (3 papers)Alzheimer s & Dementia (1 paper)Nature Neuroscience (1 paper)Cell (1 paper)
- Partner nations
- United StatesHungaryNetherlands
In The Last Decade
Grace Williams
9 papers receiving 1.2k citations
Grace Williams's Hit Papers
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 645
- Cellular and Molecular Neuroscience 553
- Biophysics 159
- Neurology 167
- Developmental Neuroscience 74
Countries citing papers authored by Grace Williams
This map shows the geographic impact of Grace Williams'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 Grace Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Williams more than expected).
Fields of papers citing papers by Grace Williams
This network shows the impact of papers produced by Grace Williams. 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 Grace Williams. The network helps show where Grace Williams may publish in the future.
Co-authors
The 1 scholars most cited alongside Grace Williams, 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 | Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells Hit paper breakdown → | 2020 | 327 |
| 2 | Classification of electrophysiological and morphological neuron types in the mouse visual cortex Hit paper breakdown → | 2019 | 300 |
| 3 | 2021 | 184 | |
| 4 | Local connectivity and synaptic dynamics in mouse and human neocortex Hit paper breakdown → | 2022 | 173 |
| 5 | 2023 | 69 | |
| 6 | Functional connectomics spanning multiple areas of mouse visual cortex Hit paper breakdown → | 2025 | 58 |
| 7 | 2023 | 55 | |
| 8 | 2025 | 12 | |
| 9 | 2017 | 1 | |
| 10 | 2026 | 0 |
About Grace Williams
Grace Williams is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Molecular Biology, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Single-cell and spatial transcriptomics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cell Image Analysis Techniques (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Nicotinic Acetylcholine Receptors Study (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cognitive Neuroscience (645 citations), Cellular and Molecular Neuroscience (553 citations), Biophysics (159 citations), Neurology (167 citations) and Developmental Neuroscience (74 citations). Grace Williams has collaborated with scholars based in United States, Hungary and Netherlands. Frequent co-authors include Teresa Ann Murray. Their work appears in journals such as Nature, Science, Alzheimer s & Dementia, Nature Neuroscience and Cell.
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.