Dawn Phillips

1.1k citations
41 papers · 777 · h-index 12

Impact in

Papers in

Dawn Phillips

37 papers receiving 760 citations

Peers

Dawn Phillips
Comparison fields: 5 of 78
  • Rheumatology 246
  • Endocrinology, Diabetes and Metabolism 244
  • Orthopedics and Sports Medicine 90
  • Applied Psychology 37
  • Physiology 165
Replace John W. Gregory with:
John W. Gregory United Kingdom
T. D. Spector United Kingdom
L. A. Perry United Kingdom
Brian C. Cooper United States
Amanda Vincent Australia
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Yen-Jung Chang Taiwan
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Dawn Phillips relative to John W. Gregory United Kingdom John W. Gregory's profile →
Citations per field
00.5×10×15×18.5×
John W. Gregory · 1×
Citations per year

Countries citing papers authored by Dawn Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Dawn Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dawn Phillips, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dawn Phillips Line = papers co-authored together Dawn Phillips links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013127
2 2016126
3 201895
4 201475
5 200272
6 200347
7 201444
8 202038
9 202021
10 201817
11 201613
12 202112
13 202211
14 20209
15 20207
16 20187
17 20176
18 20136
19 20185
20 20125

About Dawn Phillips

Dawn Phillips is a scholar working on Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 41 papers that have together received 777 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (14 papers), Alkaline Phosphatase Research Studies (10 papers), Neurogenetic and Muscular Disorders Research (6 papers), Biochemical and Molecular Research (6 papers), Child Nutrition and Feeding Issues (4 papers), Family and Disability Support Research (3 papers), Mobile Health and mHealth Applications (3 papers) and Bone health and treatments (3 papers). The work is most often cited by research in Rheumatology (246 citations), Endocrinology, Diabetes and Metabolism (244 citations), Orthopedics and Sports Medicine (90 citations), Applied Psychology (37 citations) and Physiology (165 citations). Dawn Phillips has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Scott Moseley, Michael P. Whyte, Kenji P. Fujita, William H. McAlister, Mark H. Gonzalez, Norman Weinzweig, Mairead McGinn, Nathalie Clément, Saleem Islam and Thomas J. Conlon. Their work appears in journals such as Molecular Genetics and Metabolism, Ophthalmology Retina, Value in Health, Orphanet Journal of Rare Diseases and Journal of Neuromuscular Diseases.

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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