R Cramb

1.6k citations
10 papers · 1.2k · 1 hit paper · h-index 8

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Renal Transplantation Outcomes and Treatments

Papers in

R Cramb

10 papers receiving 1.1k citations

R Cramb's Hit Papers

Guidelines on the management of abnormal liver blood tests 2017 · 358 citations
3580+3+6Years since publication100200300

Peers

R Cramb
Comparison fields: 5 of 98
  • Hepatology 257
  • Transplantation 76
  • Epidemiology 309
  • Orthopedics and Sports Medicine 74
  • Pharmacy 33
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R Cramb relative to Elizabeth A. King United States Elizabeth A. King's profile →
Citations per field
00.5×5.7×
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Citations per year

Countries citing papers authored by R Cramb

Since Specialization
Citations

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

Fields of papers citing papers by R Cramb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Guidelines on the management of abnormal liver blood tests
Hit paper breakdown →
2017358
2 1994308
3 2002254
4
Randomised controlled trial evaluating cardiovascular screening and intervention in general practice: principal results of British family heart study. Family Heart Study Group.
199486
5 201580
6 201359
7 200837
8 198919
9
How useful are patient-operated blood glucose meters?
19805
10
Worsening lipid profile is associated with progression of carotid artery stenosis.
20012

About R Cramb

R Cramb is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Health Promotion and Cardiovascular Prevention (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Neonatal Health and Biochemistry (1 paper), Diabetes Management and Research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Cardiac Health and Mental Health (1 paper) and Sports Performance and Training (1 paper). The work is most often cited by research in Hepatology (257 citations), Transplantation (76 citations), Epidemiology (309 citations), Orthopedics and Sports Medicine (74 citations) and Pharmacy (33 citations). R Cramb has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include James Neuberger, Bridget Gunson, Joan K. Morris, Simon D. Johnston, Theresa M. Marteau, P Durrington, J Yarwood, A L Kinmonth, Simon G. Thompson and S Pyke. Their work appears in journals such as Early Human Development, Journal of Thoracic and Cardiovascular Surgery, Gut, Transplantation and Journal of science and medicine in sport.

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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