Daniel C. Lowes
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Photoreceptor and optogenetics research
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Neuroscience and Neuropharmacology Research 6
- Neurotransmitter Receptor Influence on Behavior 3
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- Stress Responses and Cortisol 3
- Co-authors
- Alexander Z. Harris (3 shared papers)Arjun V. Masurkar (2 shared papers)David H. Brann (2 shared papers)Richard A. Warren (2 shared papers)Steven A. Siegelbaum (2 shared papers)Kalyan V. Srinivas (1 shared paper)Alan Jung Park (2 shared papers)Atheir I. Abbas (2 shared papers)
- Journals
- Psychopharmacology (1 paper)eLife (1 paper)Nature (1 paper)Pharmacology Biochemistry and Behavior (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesCzechiaArgentina
In The Last Decade
Daniel C. Lowes
9 papers receiving 380 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 231
- Behavioral Neuroscience 35
- Cognitive Neuroscience 195
- Biological Psychiatry 18
- Developmental Neuroscience 28
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 22 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 | 88 | |
| 2 | 2021 | 87 | |
| 3 | 2017 | 80 | |
| 4 | 2021 | 54 | |
| 5 | 2015 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2014 | 19 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 9 |
About Daniel C. Lowes
Daniel C. Lowes is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Cognitive Neuroscience, Neurology and Neurology, having authored 9 papers that have together received 388 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Stress Responses and Cortisol (3 papers), Nicotinic Acetylcholine Receptors Study (1 paper), Alcoholism and Thiamine Deficiency (1 paper), Neural dynamics and brain function (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (231 citations), Behavioral Neuroscience (35 citations), Cognitive Neuroscience (195 citations), Biological Psychiatry (18 citations) and Developmental Neuroscience (28 citations). Daniel C. Lowes has collaborated with scholars based in United States, Czechia and Argentina. Frequent co-authors include Alexander Z. Harris, Arjun V. Masurkar, David H. Brann, Richard A. Warren, Steven A. Siegelbaum, Kalyan V. Srinivas, Alan Jung Park, Atheir I. Abbas, Joshua A. Gordon and Tracie A. Paine. Their work appears in journals such as Psychopharmacology, eLife, Nature, Pharmacology Biochemistry and Behavior and Cell Reports.
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.