Henry Dalgleish
Impact in
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neural Engineering 4
- Photoreceptor and optogenetics research 4
- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 1
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- Neural dynamics and brain function 6
- Co-authors
- Michael Häusser (7 shared papers)Adam M. Packer (7 shared papers)Lloyd E. Russell (5 shared papers)Oliver M. Gauld (3 shared papers)Arnd Roth (2 shared papers)Marius Pachitariu (1 shared paper)Maneesh Sahani (1 shared paper)Mehmet Fişek (2 shared papers)
- Journals
- Nature Methods (1 paper)Nature Communications (1 paper)Neuron (1 paper)Nature Protocols (1 paper)eLife (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Henry Dalgleish
7 papers receiving 583 citations
Peers
Comparison fields: 5 of 54
- Biophysics 140
- Cellular and Molecular Neuroscience 402
- Cognitive Neuroscience 338
- Sensory Systems 14
- Endocrine and Autonomic Systems 16
Countries citing papers authored by Henry Dalgleish
This map shows the geographic impact of Henry Dalgleish'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 Henry Dalgleish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry Dalgleish more than expected).
Fields of papers citing papers by Henry Dalgleish
This network shows the impact of papers produced by Henry Dalgleish. 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 Henry Dalgleish. The network helps show where Henry Dalgleish may publish in the future.
Co-authors
The 16 scholars most cited alongside Henry Dalgleish, 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 | 2014 | 410 | |
| 2 | 2020 | 68 | |
| 3 | Extracting regions of interest from biological images with convolutional sparse block coding | 2013 | 46 |
| 4 | 2022 | 43 | |
| 5 | Inferring neural population dynamics from multiple partial recordings of the same neural circuit | 2013 | 16 |
| 6 | 2024 | 11 | |
| 7 | 2024 | 3 |
About Henry Dalgleish
Henry Dalgleish is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biophysics, Media Technology and Molecular Biology, having authored 7 papers that have together received 597 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (4 papers), Photoreceptor and optogenetics research (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurobiology and Insect Physiology Research (1 paper), Receptor Mechanisms and Signaling (1 paper), Image Processing Techniques and Applications (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Biophysics (140 citations), Cellular and Molecular Neuroscience (402 citations), Cognitive Neuroscience (338 citations), Sensory Systems (14 citations) and Endocrine and Autonomic Systems (16 citations). Henry Dalgleish has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Michael Häusser, Adam M. Packer, Lloyd E. Russell, Oliver M. Gauld, Arnd Roth, Marius Pachitariu, Maneesh Sahani, Mehmet Fişek, Rebecca Nutbrown and Dustin Herrmann. Their work appears in journals such as Nature Methods, Nature Communications, Neuron, Nature Protocols and eLife.
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.