Sue Carr

3.8k citations
81 papers · 1.9k indexed · 1 hit paper · h-index 25

Sue Carr

79 papers receiving 1.8k citations

Hit Papers

The problem with root cause analysis227201620262019202250100150200

Peers

Sue Carr
Comparison fields: 5 of 155
  • Family Practice 119
  • Transplantation 135
  • Nephrology 348
  • Emergency Medical Services 188
  • Medical Laboratory Technology 39
Replace Mark T. Keegan with:
Mark T. Keegan United States
Lee H. Hilborne United States
Martin Howell Australia
Jan A. Hazelzet Netherlands
Avi Porath Israel
Daniela P. Ladner United States
Jean‐Blaise Wasserfallen Switzerland
Guiqing Yao United Kingdom
Agustı́n Gómez de la Cámara Spain
Jocemir Ronaldo Lugon Brazil
Sue Carr relative to Mark T. Keegan United States Mark T. Keegan's profile →
Citations per field
00.5×9.6×
Mark T. Keegan · 1×
Citations per year

Countries citing papers authored by Sue Carr

Since Specialization
Citations

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

Fields of papers citing papers by Sue Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 202210
3 202113
4 201937
5 20192
6 20171
7
The problem with root cause analysisbreakdown →
2016227
8 201113
9 20119
10 200950
11 200674
12 200672
13 200511
14 20031
15 20011
16 2000156
17 20008
18 19965
19 199234
20 19886

About Sue Carr

Sue Carr is a scholar working on Family Practice, Transplantation, Nephrology, Emergency Medical Services and Pharmacy, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Innovations in Medical Education (10 papers), Bipolar Disorder and Treatment (8 papers), Dialysis and Renal Disease Management (7 papers), Electrolyte and hormonal disorders (7 papers), Medical Malpractice and Liability Issues (7 papers), Renal Transplantation Outcomes and Treatments (6 papers), Pregnancy and Medication Impact (6 papers) and Renal and Vascular Pathologies (6 papers). The work is most often cited by research in Family Practice (119 citations), Transplantation (135 citations), Nephrology (348 citations), Emergency Medical Services (188 citations) and Medical Laboratory Technology (39 citations). Sue Carr has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Mary Dixon‐Woods, Mohammad Farhad Peerally, Justin Waring, Robert W. Wilkinson, Thompson Robinson, Kamlesh Khunti, Trevor H. Thomas, Margaret Stone, Azhar Farooqi and Roy Taylor. Their work appears in journals such as Kidney International, Postgraduate Medical Journal, Clinical Science, Nephrology Dialysis Transplantation and BMJ Open.

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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