Joseph F. Cheer
- Cellular and Molecular Neuroscience top 0.2%
- Neurotransmitter Receptor Influence on Behavior 76
- Neuroscience and Neuropharmacology Research 66
- Pharmacology top 0.2%
- Cannabis and Cannabinoid Research 51
- Biological Psychiatry top 1%
- Behavioral Neuroscience top 1%
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 14
- Sleep and Wakefulness Research 8
- Memory and Neural Mechanisms 7
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- Receptor Mechanisms and Signaling 16
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- Neuroscience of respiration and sleep 6
- Co-authors
- R. Mark WightmanMichael L. HeienErik B. OlesonRoger CachopeKate M. WassumPaul E. M. PhillipsJennifer L. AriansenJennifer M. Wenzel
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)Neuron (3 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Joseph F. Cheer
98 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cellular and Molecular Neuroscience 4.0k
- Pharmacology 2.0k
- Biological Psychiatry 290
- Behavioral Neuroscience 388
- Cognitive Neuroscience 1.7k
Countries citing papers authored by Joseph F. Cheer
This map shows the geographic impact of Joseph F. Cheer'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 Joseph F. Cheer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph F. Cheer more than expected).
Fields of papers citing papers by Joseph F. Cheer
This network shows the impact of papers produced by Joseph F. Cheer. 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 Joseph F. Cheer. The network helps show where Joseph F. Cheer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joseph F. Cheer, 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 | 2023 | 7 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 7 | |
| 8 | 2018 | 39 | |
| 9 | 2018 | 29 | |
| 10 | 2018 | 69 | |
| 11 | 2017 | 130 | |
| 12 | 2017 | 31 | |
| 13 | 2017 | 92 | |
| 14 | 2016 | 28 | |
| 15 | 2016 | 8 | |
| 16 | Ventral hippocampal afferents to the nucleus accumbens regulate susceptibility to depressionbreakdown → | 2015 | 363 |
| 17 | 2014 | 37 | |
| 18 | 2014 | 19 | |
| 19 | 2013 | 39 | |
| 20 | 2010 | 27 |
About Joseph F. Cheer
Joseph F. Cheer is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Cognitive Neuroscience, having authored 99 papers that have together received 5.8k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (76 papers), Neuroscience and Neuropharmacology Research (66 papers), Cannabis and Cannabinoid Research (51 papers), Receptor Mechanisms and Signaling (16 papers), Neural dynamics and brain function (14 papers), Sleep and Wakefulness Research (8 papers), Memory and Neural Mechanisms (7 papers) and Neuroscience of respiration and sleep (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.0k citations), Pharmacology (2.0k citations) and Biological Psychiatry (290 citations). Joseph F. Cheer has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include R. Mark Wightman, Michael L. Heien, Erik B. Oleson, Roger Cachope, Kate M. Wassum, Paul E. M. Phillips, Jennifer L. Ariansen, Jennifer M. Wenzel, Regina M. Carelli and Yolanda Mateo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.