Heather E. Dawes
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 2%
- Neurology top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Edward F. ChangMorgan B. LeeVikram R. RaoPhilip A. StarrMaryam M. ShanechiOmid G. SaniKristin K. SellersYuxiao Yang
- Topics
- EEG and Brain-Computer Interfaces (11 papers)Neural dynamics and brain function (9 papers)Neuroscience and Neural Engineering (9 papers)
- Cited by
- Cognitive NeuroscienceNeurologyAging
- Journals
- CellNature MedicineNeuron
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Heather E. Dawes
27 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 679
- Cellular and Molecular Neuroscience 460
- Neurology 445
- Neurology 182
- Experimental and Cognitive Psychology 113
Countries citing papers authored by Heather E. Dawes
This map shows the geographic impact of Heather E. Dawes'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 Heather E. Dawes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather E. Dawes more than expected).
Fields of papers citing papers by Heather E. Dawes
This network shows the impact of papers produced by Heather E. Dawes. 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 Heather E. Dawes. The network helps show where Heather E. Dawes may publish in the future.
Co-authorship network of co-authors of Heather E. Dawes
This figure shows the co-authorship network connecting the top 25 collaborators of Heather E. Dawes. A scholar is included among the top collaborators of Heather E. Dawes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heather E. Dawes. Heather E. Dawes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 59 | |
| 3 | 24 | |
| 4 | Closed-loop neuromodulation in an individual with treatment-resistant depressionbreakdown → | 272 |
| 5 | 16 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s diseasebreakdown → | 192 |
| 9 | 7 | |
| 10 | 23 | |
| 11 | 100 | |
| 12 | 48 | |
| 13 | 115 | |
| 14 | 57 | |
| 15 | Drug using offenders’ beliefs and preferences about physical activity: implications for future interventions | 2 |
| 16 | 3 | |
| 17 | 67 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 3 |
About Heather E. Dawes
Heather E. Dawes is a scholar working on Cognitive Neuroscience, Aging and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (9 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Cognitive Neuroscience (679 citations), Neurology (445 citations) and Aging (46 citations). Heather E. Dawes has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Edward F. Chang, Morgan B. Lee, Vikram R. Rao, Philip A. Starr, Maryam M. Shanechi, Omid G. Sani, Kristin K. Sellers, Yuxiao Yang, Ankit N. Khambhati and Katherine W. Scangos. Their work appears in journals such as Cell, Nature Medicine and Neuron.
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.