Elizabeth L. Eberle

564 total citations
7 papers, 333 citations indexed

About

Elizabeth L. Eberle is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Elizabeth L. Eberle has authored 7 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Elizabeth L. Eberle's work include Pain Mechanisms and Treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (2 papers). Elizabeth L. Eberle is often cited by papers focused on Pain Mechanisms and Treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (2 papers). Elizabeth L. Eberle collaborates with scholars based in United States and United Kingdom. Elizabeth L. Eberle's co-authors include Harlan E. Shannon, Carrie K. Jones, Steven Peters, David L. McKinzie, Matthew E. Barton, Stephen C. Peters, James A. Monn, David B. Shaw, Lisa M. Broad and Kelly L. Knopp and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology and Neuropharmacology.

In The Last Decade

Elizabeth L. Eberle

7 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elizabeth L. Eberle United States	7	202	171	119	44	39	7	333
Bartłomiej Szulczyk Poland	10	183 0.9×	160 0.9×	32 0.3×	40 0.9×	48 1.2×	26	305
Helle K. Erichsen Denmark	11	242 1.2×	202 1.2×	277 2.3×	23 0.5×	33 0.8×	12	457
Srinivas Gullapalli India	12	126 0.6×	161 0.9×	92 0.8×	54 1.2×	15 0.4×	19	416
Tsutomu Suzuki Japan	13	328 1.6×	208 1.2×	150 1.3×	16 0.4×	31 0.8×	15	418
Aleksandar Lj. Obradović Serbia	8	143 0.7×	176 1.0×	155 1.3×	24 0.5×	13 0.3×	12	334
AA Larson United States	9	388 1.9×	246 1.4×	254 2.1×	17 0.4×	41 1.1×	9	514
A. Bartolini Italy	11	179 0.9×	177 1.0×	106 0.9×	21 0.5×	24 0.6×	32	385
Maxim Kozhemyakin United States	9	248 1.2×	166 1.0×	25 0.2×	67 1.5×	52 1.3×	13	352
Pelin Tanyerı Türkiye	12	136 0.7×	108 0.6×	100 0.8×	10 0.2×	25 0.6×	38	398
Ana Belen Salinas-Abarca Mexico	9	118 0.6×	73 0.4×	210 1.8×	17 0.4×	34 0.9×	16	300

Countries citing papers authored by Elizabeth L. Eberle

Since Specialization

Citations

This map shows the geographic impact of Elizabeth L. Eberle'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 Elizabeth L. Eberle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth L. Eberle more than expected).

Fields of papers citing papers by Elizabeth L. Eberle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth L. Eberle. 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 Elizabeth L. Eberle. The network helps show where Elizabeth L. Eberle may publish in the future.

Co-authorship network of co-authors of Elizabeth L. Eberle

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth L. Eberle. A scholar is included among the top collaborators of Elizabeth L. Eberle 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 Elizabeth L. Eberle. Elizabeth L. Eberle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Broad, Lisa M., et al.. (2016). TRPV3 in Drug Development. Pharmaceuticals. 9(3). 55–55. 48 indexed citations

Shannon, Harlan E., Elizabeth L. Eberle, Charles H. Mitch, David L. McKinzie, & Michael A. Statnick. (2007). Effects of kappa opioid receptor agonists on attention as assessed by a 5-choice serial reaction time task in rats. Neuropharmacology. 53(8). 930–941. 18 indexed citations

Jones, Carrie K., Elizabeth L. Eberle, Stephen C. Peters, James A. Monn, & Harlan E. Shannon. (2005). Analgesic effects of the selective group II (mGlu2/3) metabotropic glutamate receptor agonists LY379268 and LY389795 in persistent and inflammatory pain models after acute and repeated dosing. Neuropharmacology. 49. 206–218. 70 indexed citations

Shannon, Harlan E., Elizabeth L. Eberle, & Steven Peters. (2005). Comparison of the effects of anticonvulsant drugs with diverse mechanisms of action in the formalin test in rats. Neuropharmacology. 48(7). 1012–1020. 66 indexed citations

Shannon, Harlan E. & Elizabeth L. Eberle. (2005). Effects of biasing the location of stimulus presentation, and the muscarinic cholinergic receptor antagonist scopolamine, on performance of a 5-choice serial reaction time attention task in rats. Behavioural Pharmacology. 17(1). 71–85. 18 indexed citations

Jones, Carrie K., Elizabeth L. Eberle, David B. Shaw, David L. McKinzie, & Harlan E. Shannon. (2005). Pharmacologic Interactions between the Muscarinic Cholinergic and Dopaminergic Systems in the Modulation of Prepulse Inhibition in Rats. Journal of Pharmacology and Experimental Therapeutics. 312(3). 1055–1063. 67 indexed citations

Barton, Matthew E., Elizabeth L. Eberle, & Harlan E. Shannon. (2005). The antihyperalgesic effects of the T-type calcium channel blockers ethosuximide, trimethadione, and mibefradil. European Journal of Pharmacology. 521(1-3). 79–85. 46 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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