Pamela Bradt

24 total papers · 577 total citations
15 papers, 423 citations indexed

About

Pamela Bradt is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Pamela Bradt has authored 15 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in Pamela Bradt's work include Respiratory viral infections research (4 papers), Neonatal Respiratory Health Research (4 papers) and Nuclear Structure and Function (4 papers). Pamela Bradt is often cited by papers focused on Respiratory viral infections research (4 papers), Neonatal Respiratory Health Research (4 papers) and Nuclear Structure and Function (4 papers). Pamela Bradt collaborates with scholars based in United States, Canada and Brazil. Pamela Bradt's co-authors include Katherine Gooch, Adrian R. Levy, Pamela Vo, Ellen Korol, Shelagh M. Szabo, Karissa Johnston, Oghenowede Eyawo, Ian Mitchell, Daniel Ng and Sinem Perk and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Pamela Bradt

15 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Pamela Bradt	152	138	107	64	55	15	423
Heath R Jennings	57 0.4×	128 0.9×	53 0.5×	149 2.3×	28 0.5×	15	489
Steven Kwasi Korang	113 0.7×	109 0.8×	31 0.3×	58 0.9×	18 0.3×	33	436
Annie Robert	102 0.7×	112 0.8×	46 0.4×	65 1.0×	17 0.3×	23	451
Sukumar Suguna Narasimhulu	108 0.7×	149 1.1×	34 0.3×	89 1.4×	26 0.5×	17	493
Elizabeth Robinson	58 0.4×	104 0.8×	36 0.3×	138 2.2×	38 0.7×	11	480
Thomas G. Cantú	38 0.3×	64 0.5×	56 0.5×	31 0.5×	33 0.6×	10	477
Helen Moyses	112 0.7×	65 0.5×	40 0.4×	79 1.2×	13 0.2×	23	382
Yimin Chen	79 0.5×	61 0.4×	55 0.5×	68 1.1×	27 0.5×	29	418
Maja Skov Paulsen	81 0.5×	50 0.4×	62 0.6×	122 1.9×	69 1.3×	18	477
Yue Li	146 1.0×	106 0.8×	57 0.5×	70 1.1×	5 0.1×	15	434

Countries citing papers authored by Pamela Bradt

Since Specialization

Citations

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

Fields of papers citing papers by Pamela Bradt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Bradt

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