Daniel C. Lowes
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neuropharmacology Research 9
- Neurotransmitter Receptor Influence on Behavior 4
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- Memory and Neural Mechanisms 5
- Neural dynamics and brain function 2
- Co-authors
- David H. Brann (2 shared papers)Arjun V. Masurkar (2 shared papers)Steven A. Siegelbaum (2 shared papers)Richard Warren (2 shared papers)Alexander Z. Harris (3 shared papers)Michael C. Salling (2 shared papers)Neil L. Harrison (2 shared papers)Kalyan V. Srinivas (1 shared paper)
- Journals
- Journal of Neurophysiology (1 paper)Nature Communications (1 paper)Neuropharmacology (1 paper)Cell Reports (1 paper)Nature (1 paper)
- Partner nations
- United StatesSwitzerlandArgentina
In The Last Decade
Daniel C. Lowes
10 papers receiving 387 citations
Peers
Comparison fields: 5 of 67
- Cellular and Molecular Neuroscience 263
- Cognitive Neuroscience 195
- Behavioral Neuroscience 36
- Biological Psychiatry 22
- Developmental Neuroscience 26
Countries citing papers authored by Daniel C. Lowes
This map shows the geographic impact of Daniel C. Lowes'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 C. Lowes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Lowes more than expected).
Fields of papers citing papers by Daniel C. Lowes
This network shows the impact of papers produced by Daniel C. Lowes. 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 C. Lowes. The network helps show where Daniel C. Lowes may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel C. Lowes, 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 | 2017 | 82 | |
| 2 | 2021 | 70 | |
| 3 | 2017 | 70 | |
| 4 | 2021 | 48 | |
| 5 | 2017 | 47 | |
| 6 | 2015 | 20 | |
| 7 | 2014 | 20 | |
| 8 | 2020 | 17 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 7 |
About Daniel C. Lowes
Daniel C. Lowes is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Behavioral Neuroscience and Neurology, having authored 10 papers that have together received 390 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Stress Responses and Cortisol (3 papers), Receptor Mechanisms and Signaling (3 papers), Neural dynamics and brain function (2 papers), Alcoholism and Thiamine Deficiency (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (263 citations), Cognitive Neuroscience (195 citations), Behavioral Neuroscience (36 citations), Biological Psychiatry (22 citations) and Developmental Neuroscience (26 citations). Daniel C. Lowes has collaborated with scholars based in United States, Switzerland and Argentina. Frequent co-authors include David H. Brann, Arjun V. Masurkar, Steven A. Siegelbaum, Richard Warren, Alexander Z. Harris, Michael C. Salling, Neil L. Harrison, Kalyan V. Srinivas, Alan Jung Park and Joshua A. Gordon. Their work appears in journals such as Journal of Neurophysiology, Nature Communications, Neuropharmacology, Cell Reports and Nature.
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.