David Seccombe
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
Papers in
- Physiology 19
- Diet and metabolism studies 10
- Clinical Laboratory Practices and Quality Control 7
-
- Metabolism and Genetic Disorders 18
- Co-authors
- Peter Hahn (12 shared papers)Alex Katayev (2 shared papers)Jiří Fröhlich (4 shared papers)I. Hynie (2 shared papers)Peter Dodek (2 shared papers)Martin Novák (2 shared papers)W. Greg Miller (4 shared papers)Morris Pudek (9 shared papers)
- Journals
- Clinical Biochemistry (12 papers)Clinical Chemistry (7 papers)Metabolism (3 papers)Pediatric Research (2 papers)Neurology (2 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
David Seccombe
54 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Clinical Biochemistry 378
- Nephrology 252
- Physiology 406
- Endocrinology, Diabetes and Metabolism 210
- Statistics, Probability and Uncertainty 76
Countries citing papers authored by David Seccombe
This map shows the geographic impact of David Seccombe'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 David Seccombe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Seccombe more than expected).
Fields of papers citing papers by David Seccombe
This network shows the impact of papers produced by David Seccombe. 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 David Seccombe. The network helps show where David Seccombe may publish in the future.
Co-authors
The 25 scholars most cited alongside David Seccombe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 263 | |
| 2 | 2010 | 192 | |
| 3 | 1978 | 116 | |
| 4 | 2013 | 77 | |
| 5 | 1978 | 68 | |
| 6 | 2005 | 65 | |
| 7 | 1983 | 53 | |
| 8 | 2008 | 52 | |
| 9 | 2008 | 51 | |
| 10 | 2002 | 50 | |
| 11 | 1977 | 43 | |
| 12 | 1995 | 40 | |
| 13 | 1986 | 40 | |
| 14 | 1987 | 39 | |
| 15 | 2004 | 38 | |
| 16 | 1977 | 35 | |
| 17 | 1984 | 33 | |
| 18 | 2007 | 32 | |
| 19 | 2017 | 31 | |
| 20 | 2000 | 28 |
About David Seccombe
David Seccombe is a scholar working on Physiology, Clinical Biochemistry, Molecular Biology, Nephrology and Surgery, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (18 papers), Diet and metabolism studies (10 papers), Chronic Kidney Disease and Diabetes (7 papers), Mitochondrial Function and Pathology (7 papers), Clinical Laboratory Practices and Quality Control (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Neonatal Respiratory Health Research (5 papers). The work is most often cited by research in Clinical Biochemistry (378 citations), Nephrology (252 citations), Physiology (406 citations), Endocrinology, Diabetes and Metabolism (210 citations) and Statistics, Probability and Uncertainty (76 citations). David Seccombe has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Peter Hahn, Alex Katayev, Jiří Fröhlich, I. Hynie, Peter Dodek, Martin Novák, W. Greg Miller, Morris Pudek, Leighton R. James and Jalaluddin Bhuiyan. Their work appears in journals such as Clinical Biochemistry, Clinical Chemistry, Metabolism, Pediatric Research and Neurology.
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.