Michelle D. Wiest

12 total papers · 449 total citations
12 papers, 347 citations indexed

About

Michelle D. Wiest is a scholar working on Economics and Econometrics, Pediatrics, Perinatology and Child Health and Immunology. According to data from OpenAlex, Michelle D. Wiest has authored 12 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Economics and Econometrics, 5 papers in Pediatrics, Perinatology and Child Health and 5 papers in Immunology. Recurrent topics in Michelle D. Wiest's work include Pharmaceutical Economics and Policy (6 papers), Biosimilars and Bioanalytical Methods (5 papers) and Pharmaceutical studies and practices (5 papers). Michelle D. Wiest is often cited by papers focused on Pharmaceutical Economics and Policy (6 papers), Biosimilars and Bioanalytical Methods (5 papers) and Pharmaceutical studies and practices (5 papers). Michelle D. Wiest collaborates with scholars based in United States and Canada. Michelle D. Wiest's co-authors include Katie J. Suda, Linda M. Matusiak, Glen T. Schumock, Robert J. Hunkler, Lee C. Vermeulen, JoAnn Stubbings, Edward C. Li, Matthew H Rim, James M. Hoffman and Eric M. Tichy and has published in prestigious journals such as American Journal of Health-System Pharmacy.

In The Last Decade

Michelle D. Wiest

12 papers receiving 330 citations

Author Peers

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

Author Last Decade Papers Cites
Michelle D. Wiest 139 80 74 49 37 12 347
Carol B. Pugh 55 0.4× 170 2.1× 68 0.9× 73 1.5× 16 0.4× 21 374
Mirta Millares 142 1.0× 96 1.2× 90 1.2× 23 0.5× 20 0.5× 10 317
Julia Nguyen 65 0.5× 163 2.0× 58 0.8× 32 0.7× 27 0.7× 8 322
Widya N. Insani 80 0.6× 94 1.2× 65 0.9× 36 0.7× 7 0.2× 24 372
Sabrina W. Cole 88 0.6× 111 1.4× 92 1.2× 20 0.4× 10 0.3× 14 359
Pia Bastholm‐Rahmner 79 0.6× 68 0.8× 67 0.9× 24 0.5× 10 0.3× 23 316
Marie-Claude Laliberté 46 0.3× 139 1.7× 25 0.3× 48 1.0× 17 0.5× 21 314
Piera Polidori 58 0.4× 73 0.9× 57 0.8× 15 0.3× 13 0.4× 38 367
Karen E. Bertch 63 0.5× 156 1.9× 90 1.2× 27 0.6× 6 0.2× 13 313
Victor J B Huiskes 151 1.1× 189 2.4× 80 1.1× 69 1.4× 81 2.2× 21 333

Countries citing papers authored by Michelle D. Wiest

Since Specialization
Citations

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

Fields of papers citing papers by Michelle D. Wiest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle D. Wiest. 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 Michelle D. Wiest. The network helps show where Michelle D. Wiest may publish in the future.

Co-authorship network of co-authors of Michelle D. Wiest

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle D. Wiest. A scholar is included among the top collaborators of Michelle D. Wiest 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 Michelle D. Wiest. Michelle D. Wiest 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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