R MacFaul

36 papers receiving 853 citations

Peers

R MacFaul
Comparison fields: 5 of 105
  • Clinical Biochemistry 169
  • Pediatrics, Perinatology and Child Health 166
  • Emergency Medicine 70
  • Endocrinology, Diabetes and Metabolism 107
  • Biochemistry 39
Replace David Burman with:
David Burman United Kingdom
L S Taitz United Kingdom
Jolita Bekhof Netherlands
S.S. Ratnam Singapore
Magnus Hjelm Sweden
Tai-Fai Fok Hong Kong
Bennie McWilliams United States
John Van Aerde Canada
Neil Hawkes United Kingdom
Arnaud Merglen Switzerland
R MacFaul relative to David Burman United Kingdom David Burman's profile →
Citations per field
00.5×4.3×
David Burman · 1×
Citations per year

Countries citing papers authored by R MacFaul

Since Specialization
Citations

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

Fields of papers citing papers by R MacFaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R MacFaul, 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 R MacFaul Line = papers co-authored together R MacFaul links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001115
2 1978101
3 198185
4 199970
5 198258
6 197851
7 199840
8 199837
9 201135
10 198235
11 199232
12 199431
13 200128
14 199726
15 201125
16 200125
17 197718
18 199715
19 200912
20 199212

About R MacFaul

R MacFaul is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health, Economics and Econometrics, Molecular Biology and Clinical Biochemistry, having authored 37 papers that have together received 936 indexed citations. Recurring topics across this work include Healthcare Policy and Management (7 papers), Metabolism and Genetic Disorders (5 papers), Neonatal Health and Biochemistry (5 papers), Child and Adolescent Health (5 papers), Emergency and Acute Care Studies (4 papers), Global Health Care Issues (3 papers), Primary Care and Health Outcomes (2 papers) and Sexual Differentiation and Disorders (2 papers). The work is most often cited by research in Clinical Biochemistry (169 citations), Pediatrics, Perinatology and Child Health (166 citations), Emergency Medicine (70 citations), Endocrinology, Diabetes and Metabolism (107 citations) and Biochemistry (39 citations). R MacFaul has collaborated with scholars based in United Kingdom, United States and Kenya. Frequent co-authors include Ursula Werneke, J. B. Holton, David Grant, Terence Stephenson, Kate Armon, E M Brett, Roger G. Young, Richard Long, Helen Smith and Michael Henderson. Their work appears in journals such as Archives of Disease in Childhood, Journal of Inherited Metabolic Disease, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Pediatric Emergency Care and Prenatal Diagnosis.

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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