Phil McFarlane

2.3k citations
38 papers · 1.0k · h-index 16

Impact in

Papers in

Phil McFarlane

33 papers receiving 975 citations

Peers

Phil McFarlane
Comparison fields: 5 of 95
  • Nephrology 481
  • Emergency Medical Services 210
  • Transplantation 55
  • Internal Medicine 56
  • Pulmonary and Respiratory Medicine 233
Replace Joanne Kappel with:
Joanne Kappel Canada
Susie Q. Lew United States
Onyekachi Ifudu United States
Alferso C Abrahams Netherlands
Dinanda J. de Jager Netherlands
Chandra Thomas Canada
Helen Lee United States
Neil Ashman United Kingdom
Steven Soroka Canada
Nic Veys Belgium
Phil McFarlane relative to Joanne Kappel Canada Joanne Kappel's profile →
Citations per field
00.5×2.9×
Joanne Kappel · 1×
Citations per year

Countries citing papers authored by Phil McFarlane

Since Specialization
Citations

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

Fields of papers citing papers by Phil McFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013241
2 2012132
3 2011111
4 202164
5 201555
6 201347
7 201743
8 200741
9 202040
10 201932
11 201425
12 200524
13 202124
14 201122
15 201119
16 200617
17 201012
18 202111
19 201110
20 20167

About Phil McFarlane

Phil McFarlane is a scholar working on Nephrology, Emergency Medical Services, Economics and Econometrics, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (14 papers), Central Venous Catheters and Hemodialysis (10 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Health and Well-being Studies (3 papers), COVID-19 Clinical Research Studies (3 papers), Blood Pressure and Hypertension Studies (3 papers), Healthcare cost, quality, practices (3 papers) and Organ Donation and Transplantation (3 papers). The work is most often cited by research in Nephrology (481 citations), Emergency Medical Services (210 citations), Transplantation (55 citations), Internal Medicine (56 citations) and Pulmonary and Respiratory Medicine (233 citations). Phil McFarlane has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Alaa Badawi, Karl Iglar, Priya Vasa, Howard Morrison, Paul Arora, Darren R. Brenner, David C. Mendelssohn, Fernando Camacho, Andreas Pierratos and Lisa Semeniuk. Their work appears in journals such as Canadian Journal of Kidney Health and Disease, Canadian Medical Association Journal, Journal of Medical Economics, Seminars in Dialysis and Nephrology Dialysis Transplantation.

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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