Pamela A. Shaw

151 papers and 10.2k indexed citations i.

About

Pamela A. Shaw is a scholar working on Public Health, Environmental and Occupational Health, Statistics and Probability and Oncology. According to data from OpenAlex, Pamela A. Shaw has authored 151 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Public Health, Environmental and Occupational Health, 40 papers in Statistics and Probability and 22 papers in Oncology. Recurrent topics in Pamela A. Shaw’s work include Statistical Methods and Inference (28 papers), Advanced Causal Inference Techniques (25 papers) and Statistical Methods and Bayesian Inference (24 papers). Pamela A. Shaw is often cited by papers focused on Statistical Methods and Inference (28 papers), Advanced Causal Inference Techniques (25 papers) and Statistical Methods and Bayesian Inference (24 papers). Pamela A. Shaw collaborates with scholars based in United States, New Zealand and Germany. Pamela A. Shaw's co-authors include Stephan A. Grupp, Simon F. Lacey, Carl H. June, J. Joseph Melenhorst, Noelle V. Frey, Bruce L. Levine, Zhaohui Zheng, Angela Shen, Anne Chew and Vanessa Gonzalez and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Co-authorship network of co-authors of Pamela A. Shaw i

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Fields of papers citing papers by Pamela A. Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pamela A. Shaw

Since Specialization

Citations

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

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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