David K. Grandy
Impact in
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 5
- Pharmacological Receptor Mechanisms and Effects 2
- Glycosylation and Glycoproteins Research 1
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- Neurotransmitter Receptor Influence on Behavior 3
- Neuropeptides and Animal Physiology 3
- Co-authors
- Malcolm J. Low (3 shared papers)Marcelo Rubinstein (2 shared papers)Carmen Sáez (2 shared papers)Oscar S. Gershanik (1 shared paper)Tomás L. Falzone (1 shared paper)Jennifer L. Larson (1 shared paper)Gustavo Dziewczapolski (1 shared paper)Ge Zhang (1 shared paper)
- Journals
- Journal of Neurochemistry (1 paper)The Journal of Physiology (1 paper)Cell (1 paper)Cellular and Molecular Neurobiology (1 paper)Neuroendocrinology (1 paper)
- Partner nations
- United StatesArgentinaSpain
In The Last Decade
David K. Grandy
8 papers receiving 656 citations
Peers
Comparison fields: 5 of 59
- Cellular and Molecular Neuroscience 469
- Endocrine and Autonomic Systems 41
- Psychiatry and Mental health 87
- Molecular Biology 349
- Cognitive Neuroscience 92
Countries citing papers authored by David K. Grandy
This map shows the geographic impact of David K. Grandy'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 David K. Grandy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Grandy more than expected).
Fields of papers citing papers by David K. Grandy
This network shows the impact of papers produced by David K. Grandy. 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 David K. Grandy. The network helps show where David K. Grandy may publish in the future.
Co-authors
The 25 scholars most cited alongside David K. Grandy, 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 | 1997 | 391 | |
| 2 | 2000 | 93 | |
| 3 | 1995 | 67 | |
| 4 | 1999 | 50 | |
| 5 | 1992 | 31 | |
| 6 | 1999 | 29 | |
| 7 | 1992 | 7 | |
| 8 | 1995 | 5 |
About David K. Grandy
David K. Grandy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Social Psychology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 673 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Neuropeptides and Animal Physiology (3 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Hypothalamic control of reproductive hormones (1 paper), Glycosylation and Glycoproteins Research (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (469 citations), Endocrine and Autonomic Systems (41 citations), Psychiatry and Mental health (87 citations), Molecular Biology (349 citations) and Cognitive Neuroscience (92 citations). David K. Grandy has collaborated with scholars based in United States, Argentina and Spain. Frequent co-authors include Malcolm J. Low, Marcelo Rubinstein, Carmen Sáez, Oscar S. Gershanik, Tomás L. Falzone, Jennifer L. Larson, Gustavo Dziewczapolski, Ge Zhang, John A. McDougall and Julia A. Chester. Their work appears in journals such as Journal of Neurochemistry, The Journal of Physiology, Cell, Cellular and Molecular Neurobiology and Neuroendocrinology.
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.