Daniel Lyngholm
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Photoreceptor and optogenetics research 4
- Neuroscience and Neuropharmacology Research 3
- Neuroscience and Neural Engineering 1
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- Neural dynamics and brain function 4
- Co-authors
- Simon J. B. Butt (4 shared papers)André Marques–Smith (3 shared papers)Ian D. Thompson (1 shared paper)David C. Sterratt (1 shared paper)David Willshaw (1 shared paper)Zoltán Molnár (3 shared papers)Anna Hoerder‐Suabedissen (2 shared papers)Anna-Kristin Kaufmann (1 shared paper)
- Journals
- Nature Communications (1 paper)Frontiers in Aging Neuroscience (1 paper)Neuron (1 paper)Brain Structure and Function (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Daniel Lyngholm
7 papers receiving 287 citations
Peers
Comparison fields: 5 of 52
- Cellular and Molecular Neuroscience 184
- Cognitive Neuroscience 157
- Developmental Neuroscience 29
- Neurology 24
- Sensory Systems 12
Countries citing papers authored by Daniel Lyngholm
This map shows the geographic impact of Daniel Lyngholm'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 Daniel Lyngholm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lyngholm more than expected).
Fields of papers citing papers by Daniel Lyngholm
This network shows the impact of papers produced by Daniel Lyngholm. 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 Daniel Lyngholm. The network helps show where Daniel Lyngholm may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lyngholm, 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 | 2016 | 115 | |
| 2 | 2013 | 78 | |
| 3 | 2016 | 64 | |
| 4 | 2016 | 13 | |
| 5 | 2021 | 12 | |
| 6 | 2019 | 6 | |
| 7 | 2024 | 1 |
About Daniel Lyngholm
Daniel Lyngholm is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 7 papers that have together received 289 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Glaucoma and retinal disorders (1 paper), Neuroscience and Neural Engineering (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Neurological disorders and treatments (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (184 citations), Cognitive Neuroscience (157 citations), Developmental Neuroscience (29 citations), Neurology (24 citations) and Sensory Systems (12 citations). Daniel Lyngholm has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Simon J. B. Butt, André Marques–Smith, Ian D. Thompson, David C. Sterratt, David Willshaw, Zoltán Molnár, Anna Hoerder‐Suabedissen, Anna-Kristin Kaufmann, Esther B. E. Becker and Michael C. Wilson. Their work appears in journals such as Nature Communications, Frontiers in Aging Neuroscience, Neuron, Brain Structure and Function and PLoS Computational 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.