Sarah Nosal

17 total papers · 838 total citations
12 papers, 562 citations indexed

About

Sarah Nosal is a scholar working on General Health Professions, Health Information Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sarah Nosal has authored 12 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 4 papers in Health Information Management and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sarah Nosal's work include Electronic Health Records Systems (4 papers), Diabetes Management and Education (2 papers) and Healthcare Systems and Technology (2 papers). Sarah Nosal is often cited by papers focused on Electronic Health Records Systems (4 papers), Diabetes Management and Education (2 papers) and Healthcare Systems and Technology (2 papers). Sarah Nosal collaborates with scholars based in United States. Sarah Nosal's co-authors include Jessica S. Ancker, Diane Hauser, Alison Edwards, Rainu Kaushal, Elizabeth Mauer, Lisa M. Kern, Daniel M. Stein, Neil Calman, Sharon See and Róbert Schiller and has published in prestigious journals such as The American Journal of Medicine, Journal of General Internal Medicine and Journal of the American Medical Informatics Association.

In The Last Decade

Sarah Nosal

11 papers receiving 545 citations

Hit Papers

Effects of workload, work... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Sarah Nosal 240 165 112 111 70 12 562
Isla Hains 275 1.1× 140 0.8× 113 1.0× 58 0.5× 133 1.9× 16 589
Angela Schedlbauer 227 0.9× 120 0.7× 82 0.7× 146 1.3× 123 1.8× 13 546
Justine Pang 331 1.4× 148 0.9× 102 0.9× 62 0.6× 40 0.6× 11 554
Harley Z. Ramelson 278 1.2× 136 0.8× 121 1.1× 46 0.4× 64 0.9× 24 614
Brian J Hemens 280 1.2× 125 0.8× 92 0.8× 62 0.6× 143 2.0× 5 548
Marian Smeulers 216 0.9× 199 1.2× 102 0.9× 84 0.8× 122 1.7× 18 688
Tiina Kortteisto 221 0.9× 209 1.3× 124 1.1× 40 0.4× 40 0.6× 21 547
Seth Meltzer 198 0.8× 86 0.5× 105 0.9× 65 0.6× 42 0.6× 9 497
Michael Krall 417 1.7× 143 0.9× 106 0.9× 139 1.3× 144 2.1× 28 693
Allison R. Wilcox 144 0.6× 123 0.7× 121 1.1× 76 0.7× 36 0.5× 35 618

Countries citing papers authored by Sarah Nosal

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Nosal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Nosal

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