Sue Carr

79 papers receiving 1.9k citations

Sue Carr's Hit Papers

The problem with root cause analysis 2016 · 238 citations
2380+3+6Years since publication50100150200

Peers

Sue Carr
Comparison fields: 5 of 146
  • Nephrology 263
  • Family Practice 64
  • Transplantation 89
  • Emergency Medical Services 134
  • Medical Laboratory Technology 26
Replace Mark T. Keegan with:
Mark T. Keegan United States
Lee H. Hilborne United States
Jan A. Hazelzet Netherlands
Salvador Pita‐Fernández Spain
Jocemir Ronaldo Lugon Brazil
Behzad Einollahi Iran
Marcus Gomes Bastos Brazil
Nicholas C Chesnaye Netherlands
Ashish Atreja United States
Marc J. Shapiro United States
Sue Carr relative to Mark T. Keegan United States Mark T. Keegan's profile →
Citations per field
00.5×9.9×
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-authors

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

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The problem with root cause analysis
Hit paper breakdown →
2016238
2 2000156
3 2008111
4 200278
5 199075
6 200674
7 200672
8 199067
9 202059
10 201157
11 199053
12 200950
13 200440
14 201939
15 199037
16 198936
17 201734
18 199234
19 199734
20 200532

About Sue Carr

Sue Carr is a scholar working on Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Psychiatry and Mental health, Nephrology and General Health Professions, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (8 papers), Innovations in Medical Education (8 papers), Electrolyte and hormonal disorders (7 papers), Dialysis and Renal Disease Management (6 papers), Potassium and Related Disorders (5 papers), Pregnancy and Medication Impact (5 papers), Patient Safety and Medication Errors (4 papers) and Blood Pressure and Hypertension Studies (4 papers). The work is most often cited by research in Nephrology (263 citations), Family Practice (64 citations), Transplantation (89 citations), Emergency Medical Services (134 citations) and Medical Laboratory Technology (26 citations). Sue Carr has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Justin Waring, Mary Dixon‐Woods, Mohammad Farhad Peerally, Robert W. Wilkinson, Thompson Robinson, Kamlesh Khunti, Trevor H. Thomas, Azhar Farooqi, Margaret Stone and Roy Taylor. Their work appears in journals such as Kidney International, Clinical Science, Postgraduate Medical Journal, 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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