Robert Cramb
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments 3
- Hepatology top 5%
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- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Surgery top 5%
- Lipoproteins and Cardiovascular Health 12
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- Cardiac, Anesthesia and Surgical Outcomes 3
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- Metabolism and Genetic Disorders 5
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- Genetic and Kidney Cyst Diseases 5
- Genetic Syndromes and Imprinting 4
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- Pharmacological Effects and Toxicity Studies 3
- Co-authors
- Kari G. SmedstadD. H. MorisonChristopher D. ByrneIris RajmanJames NeubergerPhilip N. NewsomeMatthew J. ArmstrongLouise Bentham
- Journals
- Annals of Clinical Biochemistry International Journal of Laboratory Medicine (8 papers)Atherosclerosis (5 papers)Transplantation (3 papers)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Robert Cramb
50 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Transplantation 131
- Hepatology 223
- Endocrinology, Diabetes and Metabolism 456
- Surgery 718
- Cardiology and Cardiovascular Medicine 327
Countries citing papers authored by Robert Cramb
This map shows the geographic impact of Robert 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 Robert Cramb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Cramb more than expected).
Fields of papers citing papers by Robert Cramb
This network shows the impact of papers produced by Robert 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 Robert Cramb. The network helps show where Robert Cramb may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Cramb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 21 | |
| 2 | 2018 | 24 | |
| 3 | 2015 | 23 | |
| 4 | 2014 | 12 | |
| 5 | 2014 | 16 | |
| 6 | 2011 | 230 | |
| 7 | How should HbA(1c) be incorporated into the diagnostic pathway for diabetes mellitus | 2010 | 1 |
| 8 | 2005 | 19 | |
| 9 | 2005 | 44 | |
| 10 | 2003 | 122 | |
| 11 | 1999 | 8 | |
| 12 | 1996 | 12 | |
| 13 | 1996 | 91 | |
| 14 | 1994 | 27 | |
| 15 | 1994 | 36 | |
| 16 | 1994 | 2 | |
| 17 | 1990 | 7 | |
| 18 | 1989 | 25 | |
| 19 | 1989 | 15 | |
| 20 | 1988 | 41 |
About Robert Cramb
Robert Cramb is a scholar working on Transplantation, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Metabolism and Genetic Disorders (5 papers), Genetic and Kidney Cyst Diseases (5 papers), Genetic Syndromes and Imprinting (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Pharmacological Effects and Toxicity Studies (3 papers). The work is most often cited by research in Transplantation (131 citations), Hepatology (223 citations) and Endocrinology, Diabetes and Metabolism (456 citations). Robert Cramb has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Kari G. Smedstad, D. H. Morison, Christopher D. Byrne, Iris Rajman, James Neuberger, Philip N. Newsome, Matthew J. Armstrong, Louise Bentham, Paramjit Gill and Simon Olliff. Their work appears in journals such as Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Atherosclerosis, Transplantation, Diabetes and QJM.
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.