Michele R. Shaw

34 total papers · 417 total citations
25 papers, 304 citations indexed

About

Michele R. Shaw is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Michele R. Shaw has authored 25 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Michele R. Shaw's work include Asthma and respiratory diseases (4 papers), Opioid Use Disorder Treatment (4 papers) and Prenatal Substance Exposure Effects (4 papers). Michele R. Shaw is often cited by papers focused on Asthma and respiratory diseases (4 papers), Opioid Use Disorder Treatment (4 papers) and Prenatal Substance Exposure Effects (4 papers). Michele R. Shaw collaborates with scholars based in United States, Switzerland and Sweden. Michele R. Shaw's co-authors include Susan Fleming, Roxanne Vandermause, Marian Wilson, Rita Schinnar, Jeffrey L. Carson, Mel Haberman, Brian L. Strom, Robert S. Stern, Donelle Howell and Frank E. Lundin and has published in prestigious journals such as The American Journal of Medicine, Statistics in Medicine and Clinical Pharmacology & Therapeutics.

In The Last Decade

Michele R. Shaw

24 papers receiving 284 citations

Author Peers

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

Author						Papers	Cites
Michele R. Shaw	85	82	76	57	56	25	304
Willem Jan van der Veen	89 1.0×	63 0.8×	57 0.8×	41 0.7×	31 0.6×	28	358
David T. O’Gurek	120 1.4×	98 1.2×	62 0.8×	44 0.8×	34 0.6×	17	316
Laura A. Gray	71 0.8×	75 0.9×	35 0.5×	21 0.4×	28 0.5×	25	321
Paula Margozzini	78 0.9×	80 1.0×	39 0.5×	33 0.6×	9 0.2×	33	330
Amelia Hollywood	52 0.6×	49 0.6×	63 0.8×	56 1.0×	22 0.4×	22	312
Grace H. Yoon	94 1.1×	103 1.3×	29 0.4×	119 2.1×	9 0.2×	22	320
Maria Luisa Rega	83 1.0×	68 0.8×	59 0.8×	46 0.8×	18 0.3×	25	272
Matthieu Schuers	144 1.7×	78 1.0×	17 0.2×	38 0.7×	33 0.6×	39	344
Francisco Garrido-Latorre	98 1.2×	79 1.0×	44 0.6×	30 0.5×	10 0.2×	21	314
Abere Woretaw Azagew	71 0.8×	95 1.2×	59 0.8×	63 1.1×	14 0.3×	27	319

Countries citing papers authored by Michele R. Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Michele R. Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele R. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Michele R. Shaw. A scholar is included among the top collaborators of Michele R. Shaw 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 Michele R. Shaw. Michele R. Shaw 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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