R.M. Macfarlane

1.3k citations
10 papers · 1.0k · h-index 9

Impact in

Papers in

R.M. Macfarlane

10 papers receiving 954 citations

Peers

R.M. Macfarlane
Comparison fields: 5 of 79
  • Applied Microbiology and Biotechnology 166
  • Occupational Therapy 192
  • Rehabilitation 278
  • Endocrinology, Diabetes and Metabolism 396
  • Epidemiology 378
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J. Wille Netherlands
Marilyn Schallom United States
Claire McDougall United Kingdom
Cynthia T. Crosby United States
Hhs Centers for Medicare and Medicaid Services
Nancy Verzier United States
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Mireia Llauradó‐Serra Spain
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R.M. Macfarlane relative to J. Wille Netherlands J. Wille's profile →
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Citations per year

Countries citing papers authored by R.M. Macfarlane

Since Specialization
Citations

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

Fields of papers citing papers by R.M. Macfarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside R.M. Macfarlane, 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.M. Macfarlane Line = papers co-authored together R.M. Macfarlane links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1993315
2 2002143
3 1997127
4 2004106
5 199785
6 199384
7
Reducing reconsultations for acute lower respiratory tract illness with an information leaflet: a randomized controlled study of patients in primary care.
199783
8
Symptoms, signs, and prescribing for acute lower respiratory tract illness.
200142
9
The influence of antibiotics and other factors on reconsultation for acute lower respiratory tract illness in primary care.
199728
10
The diabetic foot : an illustrated guide to management
19988

About R.M. Macfarlane

R.M. Macfarlane is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Rehabilitation, Pulmonary and Respiratory Medicine and Applied Microbiology and Biotechnology, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (5 papers), Wound Healing and Treatments (3 papers), Respiratory and Cough-Related Research (3 papers), Antibiotic Use and Resistance (3 papers), Pressure Ulcer Prevention and Management (2 papers), Patient Satisfaction in Healthcare (1 paper), Pneumonia and Respiratory Infections (1 paper) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (166 citations), Occupational Therapy (192 citations), Rehabilitation (278 citations), Endocrinology, Diabetes and Metabolism (396 citations) and Epidemiology (378 citations). R.M. Macfarlane has collaborated with scholars based in United Kingdom. Frequent co-authors include J T Macfarlane, William Jeffcoate, William F. Holmes, W. J. Jeffcoate, D H Rose, Antoine Guion, A. Colville, Richard Hubbard, Frances L. Game and K. A. Treece. Their work appears in journals such as Diabetic Medicine, The Lancet, Medical Entomology and Zoology, BMJ and PubMed.

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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