Daniel Knowland
Impact in
- Neurology top 2%
- Barrier Structure and Function Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
Papers in
-
- Neurotransmitter Receptor Influence on Behavior 2
- Neuroscience and Neuropharmacology Research 2
- Neuroscience and Neural Engineering 1
- Aging 1
- Co-authors
- Byungkook Lim (4 shared papers)Martin Hsu (2 shared papers)Varoth Lilascharoen (3 shared papers)Gary Kenneth Steinberg (1 shared paper)Axel Nimmerjahn (1 shared paper)Sarah E. Lutz (1 shared paper)Dritan Agalliu (1 shared paper)John J. Perrino (1 shared paper)
- Journals
- Neuron (2 papers)Journal of Clinical Investigation (2 papers)Cell (1 paper)Nature Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Knowland
9 papers receiving 1.1k citations
Daniel Knowland's Hit Papers
Peers
Comparison fields: 5 of 90
- Neurology 367
- Biological Psychiatry 53
- Behavioral Neuroscience 70
- Cellular and Molecular Neuroscience 292
- Neurology 112
Countries citing papers authored by Daniel Knowland
This map shows the geographic impact of Daniel Knowland'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 Knowland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Knowland more than expected).
Fields of papers citing papers by Daniel Knowland
This network shows the impact of papers produced by Daniel Knowland. 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 Knowland. The network helps show where Daniel Knowland may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Knowland, 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 | Stepwise Recruitment of Transcellular and Paracellular Pathways Underlies Blood-Brain Barrier Breakdown in Stroke Hit paper breakdown → | 2014 | 541 |
| 2 | 2017 | 208 | |
| 3 | 2015 | 100 | |
| 4 | 2017 | 92 | |
| 5 | 2018 | 74 | |
| 6 | 2018 | 53 | |
| 7 | 2020 | 37 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 15 |
About Daniel Knowland
Daniel Knowland is a scholar working on Cellular and Molecular Neuroscience, Aging, Behavioral Neuroscience, Sensory Systems and Molecular Biology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuroscience and Neural Engineering (1 paper), Hearing, Cochlea, Tinnitus, Genetics (1 paper) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Neurology (367 citations), Biological Psychiatry (53 citations), Behavioral Neuroscience (70 citations), Cellular and Molecular Neuroscience (292 citations) and Neurology (112 citations). Daniel Knowland has collaborated with scholars based in United States. Frequent co-authors include Byungkook Lim, Martin Hsu, Varoth Lilascharoen, Gary Kenneth Steinberg, Axel Nimmerjahn, Sarah E. Lutz, Dritan Agalliu, John J. Perrino, Ahmet Arac and Ben A. Barres. Their work appears in journals such as Neuron, Journal of Clinical Investigation, Cell, Nature Communications and Proceedings of the National Academy of Sciences.
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.