Sarah Neill

113 total papers · 1.2k total citations
56 papers, 799 citations indexed

About

Sarah Neill is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health and Radiological and Ultrasound Technology. According to data from OpenAlex, Sarah Neill has authored 56 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in General Health Professions, 23 papers in Pediatrics, Perinatology and Child Health and 17 papers in Radiological and Ultrasound Technology. Recurrent topics in Sarah Neill's work include Family and Patient Care in Intensive Care Units (17 papers), Child and Adolescent Health (12 papers) and Infant Development and Preterm Care (11 papers). Sarah Neill is often cited by papers focused on Family and Patient Care in Intensive Care Units (17 papers), Child and Adolescent Health (12 papers) and Infant Development and Preterm Care (11 papers). Sarah Neill collaborates with scholars based in United Kingdom, United States and Australia. Sarah Neill's co-authors include Monica Lakhanpaul, Damian Roland, Caroline Jones, Matthew Thompson, Nathan C. Dean, Matthew Thompson, Imelda Coyne, Clare Williams, Sarah Cowley and Mohammad Al‐Motlaq and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Australasian Journal of Paramedicine.

In The Last Decade

Sarah Neill

48 papers receiving 760 citations

Author Peers

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

Author						Papers	Cites
Sarah Neill	293	281	227	156	139	56	799
Huaqiong Zhou	265 0.9×	386 1.4×	193 0.9×	162 1.0×	151 1.1×	33	902
Fenella J. Gill	319 1.1×	180 0.6×	229 1.0×	167 1.1×	130 0.9×	65	895
Maria Brenner	330 1.1×	497 1.8×	198 0.9×	221 1.4×	99 0.7×	88	1.0k
Bonnie Holaday	179 0.6×	236 0.8×	86 0.4×	181 1.2×	51 0.4×	70	725
Kristina M. Kokorelias	332 1.1×	122 0.4×	138 0.6×	226 1.4×	73 0.5×	106	837
Ulrika Pöder	252 0.9×	437 1.6×	130 0.6×	198 1.3×	82 0.6×	38	884
Ken Sellick	160 0.5×	192 0.7×	156 0.7×	159 1.0×	134 1.0×	27	857
Linda L. Lindeke	345 1.2×	367 1.3×	60 0.3×	115 0.7×	50 0.4×	47	904
Sarah Mitchell	166 0.6×	250 0.9×	153 0.7×	120 0.8×	95 0.7×	57	805
Stacee M. Lerret	121 0.4×	385 1.4×	162 0.7×	167 1.1×	77 0.6×	52	734

Countries citing papers authored by Sarah Neill

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Neill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Neill

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