R. W. E. Watts
Impact in
- Nephrology top 1%
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
Papers in
- Nephrology 19
- Gout, Hyperuricemia, Uric Acid 11
-
- Metabolism and Genetic Disorders 18
- Co-authors
- E. F. ScowenJ.C. CrawhallC. E. MogensenI. TikkanenR J ViskoperSteen NeldamM. E. CooperJennifer Allsop
- Journals
- The Lancet (11 papers)QJM (8 papers)Clinical Science (6 papers)Biochemical Society Transactions (6 papers)Archives of Disease in Childhood (5 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
R. W. E. Watts
150 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Nephrology 614
- Clinical Biochemistry 394
- Physiology 246
- Transplantation 102
- Pathology and Forensic Medicine 585
Countries citing papers authored by R. W. E. Watts
This map shows the geographic impact of R. W. E. Watts'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. W. E. Watts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. W. E. Watts more than expected).
Fields of papers citing papers by R. W. E. Watts
This network shows the impact of papers produced by R. W. E. Watts. 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. W. E. Watts. The network helps show where R. W. E. Watts may publish in the future.
Co-authors
The 25 scholars most cited alongside R. W. E. Watts, 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 | 2008 | 82 | |
| 2 | 2006 | 22 | |
| 3 | 2005 | 15 | |
| 4 | 2005 | 27 | |
| 5 | Randomised controlled trial of dual blockade of renin-angiotensin system in patients with hypertension, microalbuminuria, and non-insulin dependent diabetes: the candesartan and lisinopril microalbuminuria (CALM) study Hit paper breakdown → | 2000 | 745 |
| 6 | 2000 | 63 | |
| 7 | 1994 | 5 | |
| 8 | [Which transplantation strategies in primary hyperoxaluria type 1?]. | 1991 | 3 |
| 9 | 1977 | 75 | |
| 10 | 1977 | 9 | |
| 11 | 1976 | 2 | |
| 12 | 1975 | 29 | |
| 13 | 1972 | 1 | |
| 14 | 1970 | 23 | |
| 15 | 1968 | 13 | |
| 16 | 1967 | 24 | |
| 17 | 1967 | 13 | |
| 18 | 1967 | 3 | |
| 19 | 1964 | 39 | |
| 20 | 1957 | 67 |
About R. W. E. Watts
R. W. E. Watts is a scholar working on Nephrology, Clinical Biochemistry, Physiology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 152 papers that have together received 4.4k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (47 papers), Kidney Stones and Urolithiasis Treatments (40 papers), Porphyrin Metabolism and Disorders (35 papers), Biomedical Research and Pathophysiology (25 papers), Cytomegalovirus and herpesvirus research (20 papers), Metabolism and Genetic Disorders (18 papers), Neonatal Health and Biochemistry (13 papers) and Gout, Hyperuricemia, Uric Acid (11 papers). The work is most often cited by research in Nephrology (614 citations), Clinical Biochemistry (394 citations), Physiology (246 citations), Transplantation (102 citations) and Pathology and Forensic Medicine (585 citations). R. W. E. Watts has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include E. F. Scowen, J.C. Crawhall, C. E. Mogensen, I. Tikkanen, R J Viskoper, Steen Neldam, M. E. Cooper, Jennifer Allsop, S Oren and Dorothy A. Gibbs. Their work appears in journals such as The Lancet, QJM, Clinical Science, Biochemical Society Transactions and Archives of Disease in Childhood.
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.