Sarah Shaw

55 total papers · 2.1k total citations
28 papers, 1.1k citations indexed

About

Sarah Shaw is a scholar working on Public Health, Environmental and Occupational Health, Physiology and General Health Professions. According to data from OpenAlex, Sarah Shaw has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 9 papers in Physiology and 7 papers in General Health Professions. Recurrent topics in Sarah Shaw's work include Obesity, Physical Activity, Diet (8 papers), Nutrition and Health in Aging (8 papers) and Body Composition Measurement Techniques (7 papers). Sarah Shaw is often cited by papers focused on Obesity, Physical Activity, Diet (8 papers), Nutrition and Health in Aging (8 papers) and Body Composition Measurement Techniques (7 papers). Sarah Shaw collaborates with scholars based in United Kingdom, United States and New Zealand. Sarah Shaw's co-authors include Elaine Dennison, Cyrus Cooper, Olivier Bruyère, Jean‐Yves Reginster, Nicholas R. Fuggle, Janis Baird, René Rizzoli, Ding‐Cheng Chan, Neil Binkley and J. A. Kanis and has published in prestigious journals such as Journal of General Internal Medicine, Obesity Reviews and Osteoporosis International.

In The Last Decade

Sarah Shaw

25 papers receiving 1.1k citations

Hit Papers

Nutrition and physical ac... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Sarah Shaw 648 224 168 115 99 28 1.1k
S. Czerwiński 774 1.2× 312 1.4× 219 1.3× 105 0.9× 107 1.1× 25 1.4k
Raquel Revuelta Iniesta 540 0.8× 241 1.1× 128 0.8× 184 1.6× 61 0.6× 36 1.1k
Mathieu Maltais 619 1.0× 129 0.6× 165 1.0× 151 1.3× 68 0.7× 35 1.0k
Michal Šteffl 838 1.3× 175 0.8× 240 1.4× 157 1.4× 71 0.7× 49 1.3k
Krupa Shah 628 1.0× 234 1.0× 98 0.6× 54 0.5× 138 1.4× 23 1.0k
Alexandra Mayhew 588 0.9× 254 1.1× 195 1.2× 86 0.7× 59 0.6× 50 1.2k
Suey S.Y. Yeung 903 1.4× 197 0.9× 347 2.1× 239 2.1× 134 1.4× 44 1.3k
Giulia Savera 1.1k 1.6× 252 1.1× 326 1.9× 134 1.2× 106 1.1× 22 1.4k
Emanuela D’Angelo 729 1.1× 174 0.8× 228 1.4× 88 0.8× 104 1.1× 36 1.2k
Leo D. Westbury 601 0.9× 167 0.7× 345 2.1× 135 1.2× 101 1.0× 54 1.2k

Countries citing papers authored by Sarah Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Shaw

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