E M Gowans
Impact in
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- Meta-analysis and systematic reviews
- Reliability and Agreement in Measurement
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Renal function and acid-base balance
Papers in
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- Clinical Laboratory Practices and Quality Control 6
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- Renal function and acid-base balance 3
- Co-authors
- Callum G. Fraser (6 shared papers)Per Hyltoft Petersen (4 shared papers)Ole Blaabjerg (2 shared papers)Mogens Hørder (2 shared papers)Marta Stahl (2 shared papers)Jean-Claude Libeer (2 shared papers)Carmen Ricós (2 shared papers)Ivan Brandslund (2 shared papers)
- Journals
- Clinical Chemistry (5 papers)Annals of Clinical Biochemistry International Journal of Laboratory Medicine (3 papers)Scandinavian Journal of Clinical and Laboratory Investigation (2 papers)
- Partner nations
- United KingdomDenmarkBelgium
In The Last Decade
E M Gowans
10 papers receiving 319 citations
Peers
Comparison fields: 5 of 75
- Statistics, Probability and Uncertainty 109
- Nephrology 75
- Physiology 203
- Statistics and Probability 47
- Medical Laboratory Technology 5
Countries citing papers authored by E M Gowans
This map shows the geographic impact of E M Gowans'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 E M Gowans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E M Gowans more than expected).
Fields of papers citing papers by E M Gowans
This network shows the impact of papers produced by E M Gowans. 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 E M Gowans. The network helps show where E M Gowans may publish in the future.
Co-authors
The 9 scholars most cited alongside E M Gowans, 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 | 1988 | 130 | |
| 2 | 1988 | 70 | |
| 3 | 2002 | 45 | |
| 4 | 1989 | 30 | |
| 5 | 1987 | 29 | |
| 6 | 1987 | 12 | |
| 7 | 1987 | 10 | |
| 8 | 2002 | 8 | |
| 9 | 1987 | 4 | |
| 10 | 1986 | 1 |
About E M Gowans
E M Gowans is a scholar working on Physiology, Nephrology, Statistics and Probability, Surgery and Food Science, having authored 10 papers that have together received 339 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (6 papers), Renal function and acid-base balance (3 papers), Statistical Methods in Clinical Trials (3 papers), Pesticide Residue Analysis and Safety (2 papers), Meta-analysis and systematic reviews (2 papers), Metabolism and Genetic Disorders (1 paper), Lipoproteins and Cardiovascular Health (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (109 citations), Nephrology (75 citations), Physiology (203 citations), Statistics and Probability (47 citations) and Medical Laboratory Technology (5 citations). E M Gowans has collaborated with scholars based in United Kingdom, Denmark and Belgium. Frequent co-authors include Callum G. Fraser, Per Hyltoft Petersen, Ole Blaabjerg, Mogens Hørder, Marta Stahl, Jean-Claude Libeer, Carmen Ricós, Ivan Brandslund and Lone Jørgensen. Their work appears in journals such as Clinical Chemistry, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Scandinavian Journal of Clinical and Laboratory Investigation.
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.