Elfrida R. Grant

14 total papers · 981 total citations
13 papers, 854 citations indexed

About

Elfrida R. Grant is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Elfrida R. Grant has authored 13 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Elfrida R. Grant's work include Neuroscience and Neuropharmacology Research (8 papers), Ion channel regulation and function (6 papers) and Receptor Mechanisms and Signaling (5 papers). Elfrida R. Grant is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Ion channel regulation and function (6 papers) and Receptor Mechanisms and Signaling (5 papers). Elfrida R. Grant collaborates with scholars based in United States, Canada and Ireland. Elfrida R. Grant's co-authors include Daniel Benjamin, Larissa A. Pohorecky, David R. Lynch, Robert A. Zivin, Edward R. Whittemore, Dianne Hodges, James T. Limberis, Mohamed Hachicha, Yakov Rotshteyn and Kenneth J. Valenzano and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Journal of Neurochemistry.

In The Last Decade

Elfrida R. Grant

13 papers receiving 824 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Elfrida R. Grant	423	361	228	198	98	13	854
Joe Mikusa	270 0.6×	328 0.9×	210 0.9×	435 2.2×	29 0.3×	14	1.0k
Gricelda Hernandez	237 0.6×	292 0.8×	215 0.9×	489 2.5×	26 0.3×	8	895
María Gracia Sánchez‐Alonso	210 0.5×	253 0.7×	166 0.7×	84 0.4×	34 0.3×	25	873
Shengtai Zhou	581 1.4×	334 0.9×	143 0.6×	780 3.9×	35 0.4×	14	1.0k
Jia‐Wei Min	142 0.3×	441 1.2×	79 0.3×	124 0.6×	77 0.8×	26	1.0k
Eric L. Moore	357 0.8×	265 0.7×	355 1.6×	276 1.4×	20 0.2×	20	1.0k
Jhon Jairo Sutachan	275 0.7×	541 1.5×	70 0.3×	161 0.8×	43 0.4×	31	1.0k
Valéria Tékus	249 0.6×	208 0.6×	211 0.9×	361 1.8×	28 0.3×	31	805
Kinga Szydłowska	390 0.9×	419 1.2×	45 0.2×	125 0.6×	62 0.6×	13	940
Laurence Daulhac	271 0.6×	300 0.8×	58 0.3×	486 2.5×	54 0.6×	25	1.0k

Countries citing papers authored by Elfrida R. Grant

Since Specialization

Citations

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

Fields of papers citing papers by Elfrida R. Grant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elfrida R. Grant. 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 Elfrida R. Grant. The network helps show where Elfrida R. Grant may publish in the future.

Co-authorship network of co-authors of Elfrida R. Grant

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

All Works

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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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