Pamela Dow

18 total papers · 495 total citations
13 papers, 315 citations indexed

About

Pamela Dow is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Geriatrics and Gerontology. According to data from OpenAlex, Pamela Dow has authored 13 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Geriatrics and Gerontology. Recurrent topics in Pamela Dow's work include Pharmaceutical Practices and Patient Outcomes (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Ion channel regulation and function (2 papers). Pamela Dow is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Ion channel regulation and function (2 papers). Pamela Dow collaborates with scholars based in United States and Canada. Pamela Dow's co-authors include Jacques Turgeon, Véronique Michaud, Sweilem B. Al Rihani, Malavika Deodhar, Lucy I. Darakjian, Meghan J. Arwood, Brian Cicali, Stephan Schmidt, K.T. Bain and Tao Long and has published in prestigious journals such as International Journal of Molecular Sciences, Clinical Therapeutics and Pharmaceutics.

In The Last Decade

Pamela Dow

13 papers receiving 310 citations

Author Peers

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

Author						Papers	Cites
Pamela Dow	72	63	51	48	48	13	315
Chiara Giofrè	70 1.0×	62 1.0×	20 0.4×	53 1.1×	33 0.7×	6	331
Jan L. Maxa	94 1.3×	81 1.3×	30 0.6×	12 0.3×	36 0.8×	9	340
Yorki Tayrouz	68 0.9×	51 0.8×	33 0.6×	18 0.4×	95 2.0×	12	343
Yolande Saab	52 0.7×	55 0.9×	41 0.8×	51 1.1×	11 0.2×	16	341
S HALL	104 1.4×	60 1.0×	42 0.8×	13 0.3×	82 1.7×	12	308
Raymond Miller	49 0.7×	54 0.9×	19 0.4×	10 0.2×	38 0.8×	20	350
Louis Létinier	18 0.3×	32 0.5×	15 0.3×	36 0.8×	32 0.7×	21	282
Immo Zadezensky	87 1.2×	51 0.8×	17 0.3×	11 0.2×	42 0.9×	7	344
Shuaibing Liu	69 1.0×	97 1.5×	28 0.5×	10 0.2×	42 0.9×	35	314
Peter H. Slugg	40 0.6×	54 0.9×	14 0.3×	11 0.2×	29 0.6×	19	335

Countries citing papers authored by Pamela Dow

Since Specialization

Citations

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

Fields of papers citing papers by Pamela Dow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Dow

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