Pamela Sheffels

25 total papers · 942 total citations
22 papers, 758 citations indexed

About

Pamela Sheffels is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Anesthesiology and Pain Medicine. According to data from OpenAlex, Pamela Sheffels has authored 22 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmacology, 6 papers in Pediatrics, Perinatology and Child Health and 6 papers in Anesthesiology and Pain Medicine. Recurrent topics in Pamela Sheffels's work include Pharmacogenetics and Drug Metabolism (10 papers), Pharmacological Effects and Toxicity Studies (6 papers) and Drug Transport and Resistance Mechanisms (4 papers). Pamela Sheffels is often cited by papers focused on Pharmacogenetics and Drug Metabolism (10 papers), Pharmacological Effects and Toxicity Studies (6 papers) and Drug Transport and Resistance Mechanisms (4 papers). Pamela Sheffels collaborates with scholars based in United States, Norway and Israel. Pamela Sheffels's co-authors include Evan D. Kharasch, Dale Whittington, Christine Hoffer, Rheem A. Totah, Ola Dale, Kenneth E. Thummel, Alysa Walker, Thomas A. Baillie, Allan E. Rettie and Kenneth R. Korzekwa and has published in prestigious journals such as Biochemistry, Journal of Pharmacology and Experimental Therapeutics and Anesthesiology.

In The Last Decade

Pamela Sheffels

22 papers receiving 733 citations

Author Peers

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

Author						Papers	Cites
Pamela Sheffels	386	239	186	172	95	22	758
P. Arvela	276 0.7×	196 0.8×	184 1.0×	49 0.3×	87 0.9×	49	823
JO Svensson	293 0.8×	163 0.7×	112 0.6×	209 1.2×	50 0.5×	7	660
Terry Podoll	534 1.4×	195 0.8×	333 1.8×	57 0.3×	34 0.4×	21	901
Karl Verebely	171 0.4×	258 1.1×	66 0.4×	182 1.1×	104 1.1×	19	890
Rita Labroo	157 0.4×	140 0.6×	73 0.4×	177 1.0×	54 0.6×	13	763
Betty‐Ann Hoener	229 0.6×	154 0.6×	215 1.2×	36 0.2×	49 0.5×	26	861
Q-Y Yue	259 0.7×	94 0.4×	81 0.4×	95 0.6×	35 0.4×	12	644
Masayoshi Tani	333 0.9×	88 0.4×	205 1.1×	45 0.3×	94 1.0×	29	825
M. Rebsamen	305 0.8×	158 0.7×	113 0.6×	154 0.9×	47 0.5×	14	741
Randy P. Juhl	221 0.6×	137 0.6×	75 0.4×	55 0.3×	63 0.7×	37	873

Countries citing papers authored by Pamela Sheffels

Since Specialization

Citations

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

Fields of papers citing papers by Pamela Sheffels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela Sheffels. 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 Pamela Sheffels. The network helps show where Pamela Sheffels may publish in the future.

Co-authorship network of co-authors of Pamela Sheffels

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Sheffels. A scholar is included among the top collaborators of Pamela Sheffels 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 Pamela Sheffels. Pamela Sheffels 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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