Sara Mayfield

1.2k total citations
9 papers, 899 citations indexed

About

Sara Mayfield is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Emergency Medicine. According to data from OpenAlex, Sara Mayfield has authored 9 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 3 papers in Epidemiology and 2 papers in Emergency Medicine. Recurrent topics in Sara Mayfield's work include Neonatal Respiratory Health Research (6 papers), Respiratory Support and Mechanisms (6 papers) and Respiratory viral infections research (2 papers). Sara Mayfield is often cited by papers focused on Neonatal Respiratory Health Research (6 papers), Respiratory Support and Mechanisms (6 papers) and Respiratory viral infections research (2 papers). Sara Mayfield collaborates with scholars based in Australia, United States and Italy. Sara Mayfield's co-authors include Andreas Schibler, Fiona Bogossian, Mark A. McDaniel, Gilles O. Einstein, Ruthann C. Thomas, Jennifer E. Breneiser, Jacqueline Jauncey‐Cooke, Trang Pham, Judith Hough and Kristen Gibbons and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Journal of Experimental Psychology General and Intensive Care Medicine.

In The Last Decade

Sara Mayfield

9 papers receiving 882 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara Mayfield Australia 9 447 380 277 216 210 9 899
Nikolaos Zias United States 9 285 0.6× 96 0.3× 171 0.6× 93 0.4× 37 0.2× 13 679
Valentina Isetta Spain 9 207 0.5× 48 0.1× 107 0.4× 60 0.3× 15 0.1× 20 423
Catherine Friederich Murray United States 7 220 0.5× 176 0.5× 199 0.7× 34 0.2× 10 0.0× 13 751
Mohammad M. Amin United States 12 172 0.4× 88 0.2× 37 0.1× 45 0.2× 42 0.2× 20 395
Lichuan Ye United States 16 288 0.6× 419 1.1× 234 0.8× 36 0.2× 19 0.1× 32 1.1k
Kin‐Wang To Hong Kong 14 285 0.6× 81 0.2× 75 0.3× 79 0.4× 24 0.1× 16 826
L. Felipe Damiani Chile 14 371 0.8× 60 0.2× 51 0.2× 40 0.2× 11 0.1× 53 551
Lauren McClain United States 13 45 0.1× 34 0.1× 65 0.2× 181 0.8× 38 0.2× 18 455
Chung‐hong Chan China 15 294 0.7× 104 0.3× 108 0.4× 41 0.2× 25 0.1× 24 800
Paul Willging United States 10 341 0.8× 43 0.1× 65 0.2× 54 0.3× 92 0.4× 13 828

Countries citing papers authored by Sara Mayfield

Since Specialization
Citations

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

Fields of papers citing papers by Sara Mayfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Mayfield

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Mayfield. A scholar is included among the top collaborators of Sara Mayfield 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 Sara Mayfield. Sara Mayfield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wolfenden, Luke, Penelope Hawe, Lucie Rychetnik, et al.. (2022). A call to action: More collaborative implementation research is needed to prevent chronic disease. Australian and New Zealand Journal of Public Health. 46(5). 549–553. 12 indexed citations
2.
Stöcker, Christian, et al.. (2016). Procalcitonin in the Early Course Post Pediatric Cardiac Surgery. Pediatric Critical Care Medicine. 17(7). 624–629. 11 indexed citations
3.
Schlapbach, Luregn J., et al.. (2014). High-flow nasal cannula (HFNC) support in interhospital transport of critically ill children. Intensive Care Medicine. 40(4). 592–599. 55 indexed citations
4.
Mayfield, Sara, et al.. (2014). High‐flow nasal cannula oxygen therapy for infants with bronchiolitis: Pilot study. Journal of Paediatrics and Child Health. 50(5). 373–378. 122 indexed citations
5.
Pham, Trang, et al.. (2014). The effect of high flow nasal cannula therapy on the work of breathing in infants with bronchiolitis. Pediatric Pulmonology. 50(7). 713–720. 143 indexed citations
6.
Mayfield, Sara, Jacqueline Jauncey‐Cooke, Andreas Schibler, Judith Hough, & Fiona Bogossian. (2014). High flow nasal cannula for respiratory support in term infants. Cochrane Database of Systematic Reviews. 22 indexed citations
7.
Mayfield, Sara, Jacqueline Jauncey‐Cooke, Judith Hough, et al.. (2014). High-flow nasal cannula therapy for respiratory support in children. Cochrane Database of Systematic Reviews. 2018(12). CD009850–CD009850. 118 indexed citations
8.
Mayfield, Sara, Jacqueline Jauncey‐Cooke, & Fiona Bogossian. (2013). A case series of paediatric high flow nasal cannula therapy. Australian Critical Care. 26(4). 189–192. 15 indexed citations
9.
Einstein, Gilles O., et al.. (2005). Multiple Processes in Prospective Memory Retrieval: Factors Determining Monitoring Versus Spontaneous Retrieval.. Journal of Experimental Psychology General. 134(3). 327–342. 401 indexed citations

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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