David K. Grandy

808 total citations
8 papers, 673 citations indexed

About

David K. Grandy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, David K. Grandy has authored 8 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in David K. Grandy's work include Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Neuropeptides and Animal Physiology (3 papers). David K. Grandy is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Neuropeptides and Animal Physiology (3 papers). David K. Grandy collaborates with scholars based in United States, Argentina and Spain. David K. Grandy's co-authors include Malcolm J. Low, Marcelo Rubinstein, Carmen Sáez, Tomás L. Falzone, Thomas A. Pugsley, Tamara J. Phillips, Oscar S. Gershanik, Julia A. Chester, John A. McDougall and Jennifer L. Larson and has published in prestigious journals such as Cell, The Journal of Physiology and Journal of Neurochemistry.

In The Last Decade

David K. Grandy

8 papers receiving 656 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David K. Grandy United States	7	486	362	104	91	57	8	673
Yoko Hagino Japan	16	537 1.1×	309 0.9×	159 1.5×	84 0.9×	62 1.1×	46	779
Rebecca J. Ralph United States	9	517 1.1×	354 1.0×	141 1.4×	126 1.4×	48 0.8×	11	787
Susan E. Bachus United States	14	369 0.8×	216 0.6×	123 1.2×	78 0.9×	64 1.1×	24	631
G. Thiriet France	5	437 0.9×	309 0.9×	59 0.6×	41 0.5×	56 1.0×	8	591
Alice Borella United States	8	320 0.7×	173 0.5×	162 1.6×	61 0.7×	48 0.8×	9	651
Christine Nocjar United States	11	467 1.0×	208 0.6×	222 2.1×	102 1.1×	51 0.9×	14	750
Simona Mangiavacchi Italy	9	563 1.2×	291 0.8×	183 1.8×	36 0.4×	47 0.8×	9	680
G Ellison United States	11	457 0.9×	287 0.8×	206 2.0×	126 1.4×	46 0.8×	22	787
Amanda Platten United States	11	386 0.8×	229 0.6×	102 1.0×	47 0.5×	25 0.4×	12	492
Timothy E. Koeltzow United States	9	613 1.3×	415 1.1×	125 1.2×	59 0.6×	52 0.9×	13	772

Countries citing papers authored by David K. Grandy

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David K. Grandy

This figure shows the co-authorship network connecting the top 25 collaborators of David K. Grandy. A scholar is included among the top collaborators of David K. Grandy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David K. Grandy. David K. Grandy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Risinger, Fred O., Pierre A. Freeman, Marcelo Rubinstein, Malcolm J. Low, & David K. Grandy. (2000). Lack of operant ethanol self-administration in dopamine D2 receptor knockout mice. Psychopharmacology. 152(3). 343–350. 93 indexed citations

Wilke, Russell A., et al.. (1999). K⁺ channel modulation in rodent neurohypophysial nerve terminals by sigma receptors and not by dopamine receptors. The Journal of Physiology. 517(2). 391–406. 50 indexed citations

Slugg, Robert M., Oline K. Rønnekleiv, David K. Grandy, & Martin J. Kelly. (1999). Activation of an Inwardly Rectifying K<sup>+</sup> Conductance by Orphanin-FQ/Nociceptin in Vasopressin-Containing Neurons. Neuroendocrinology. 69(5). 385–396. 29 indexed citations

Rubinstein, Marcelo, Tamara J. Phillips, Tomás L. Falzone, et al.. (1997). Mice Lacking Dopamine D4 Receptors Are Supersensitive to Ethanol, Cocaine, and Methamphetamine. Cell. 90(6). 991–1001. 391 indexed citations

Zhang, Ge, Claudia Bouvier, Carmen Sáez, et al.. (1995). Characterization and Distribution of a Cloned Rat μ‐Opioid Receptor. Journal of Neurochemistry. 64(1). 14–24. 67 indexed citations

Bouvier, Claudia, et al.. (1995). Functional characterization of the human dopamine D4.2 receptor using vaccinia virus as an expression system. European Journal of Pharmacology Molecular Pharmacology. 290(1). 11–17. 5 indexed citations

Grandy, David K., et al.. (1992). G-protein-coupled receptors: the new dopamine receptor subtypes. Current Opinion in Neurobiology. 2(3). 275–281. 31 indexed citations

Grandy, David K., et al.. (1992). Nucleotide and deduced amino acid sequence of bovine adrenal medulla chromogranin B (secretogranin I). Cellular and Molecular Neurobiology. 12(2). 185–192. 7 indexed citations

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.

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