J.M. Delfs
Impact in
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Neurotransmitter Receptor Influence on Behavior 7
- Neuroscience and Neuropharmacology Research 6
- Genetic Neurodegenerative Diseases 2
- Neuropeptides and Animal Physiology 2
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- Neurological disorders and treatments 6
- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Ann E. Kelley (3 shared papers)Jonathan P. Druhan (1 shared paper)Gary Aston‐Jones (1 shared paper)Yan Zhu (1 shared paper)Vaishali P. Bakshi (1 shared paper)Marie‐Françoise Chesselet (3 shared papers)MF Chesselet (2 shared papers)Norifusa J. Anegawa (1 shared paper)
- Journals
- Neuroscience (5 papers)Journal of Neuroscience (2 papers)Advances in pharmacology (1 paper)Regulatory Peptides (1 paper)Psychopharmacology (1 paper)
- Partner nations
- United States
In The Last Decade
J.M. Delfs
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 904
- Behavioral Neuroscience 118
- Neurology 238
- Biological Psychiatry 39
- Endocrine and Autonomic Systems 63
Countries citing papers authored by J.M. Delfs
This map shows the geographic impact of J.M. Delfs'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 J.M. Delfs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.M. Delfs more than expected).
Fields of papers citing papers by J.M. Delfs
This network shows the impact of papers produced by J.M. Delfs. 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 J.M. Delfs. The network helps show where J.M. Delfs may publish in the future.
Co-authors
The 15 scholars most cited alongside J.M. Delfs, 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 | 2000 | 387 | |
| 2 | 1990 | 242 | |
| 3 | 1990 | 172 | |
| 4 | 1989 | 105 | |
| 5 | 1995 | 80 | |
| 6 | 1995 | 44 | |
| 7 | 1994 | 36 | |
| 8 | 1996 | 28 | |
| 9 | 1997 | 9 | |
| 10 | 1997 | 5 | |
| 11 | 1994 | 3 |
About J.M. Delfs
J.M. Delfs is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Clinical Psychology and Sensory Systems, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neurological disorders and treatments (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (4 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (904 citations), Behavioral Neuroscience (118 citations), Neurology (238 citations), Biological Psychiatry (39 citations) and Endocrine and Autonomic Systems (63 citations). J.M. Delfs has collaborated with scholars based in United States. Frequent co-authors include Ann E. Kelley, Jonathan P. Druhan, Gary Aston‐Jones, Yan Zhu, Vaishali P. Bakshi, Marie‐Françoise Chesselet, MF Chesselet, Norifusa J. Anegawa, Jean‐Jacques Soghomonian and Vivian M. Ciaramitaro. Their work appears in journals such as Neuroscience, Journal of Neuroscience, Advances in pharmacology, Regulatory Peptides and Psychopharmacology.
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.