David Seccombe

2.2k total citations
57 papers, 1.6k citations indexed

About

David Seccombe is a scholar working on Physiology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, David Seccombe has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 19 papers in Molecular Biology and 18 papers in Clinical Biochemistry. Recurrent topics in David Seccombe's work include Metabolism and Genetic Disorders (18 papers), Diet and metabolism studies (10 papers) and Clinical Laboratory Practices and Quality Control (9 papers). David Seccombe is often cited by papers focused on Metabolism and Genetic Disorders (18 papers), Diet and metabolism studies (10 papers) and Clinical Laboratory Practices and Quality Control (9 papers). David Seccombe collaborates with scholars based in Canada, United States and Japan. David Seccombe's co-authors include Peter Hahn, Alex Katayev, Jiří Fröhlich, I. Hynie, Morris Pudek, Peter Dodek, Martin Novák, W. Greg Miller, Leighton R. James and Beryl Jacobson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Diabetes Care.

In The Last Decade

David Seccombe

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Seccombe Canada 24 480 416 399 298 293 57 1.6k
Bernard E. Statland United States 28 509 1.1× 291 0.7× 155 0.4× 163 0.5× 208 0.7× 96 2.1k
Anne Vassault France 25 894 1.9× 891 2.1× 638 1.6× 111 0.4× 357 1.2× 107 2.6k
Eric S Kilpatrick United Kingdom 24 288 0.6× 228 0.5× 70 0.2× 258 0.9× 604 2.1× 71 1.7k
Brad S. Karon United States 23 325 0.7× 336 0.8× 64 0.2× 172 0.6× 354 1.2× 96 1.7k
Nora Nikolac Croatia 21 830 1.7× 222 0.5× 172 0.4× 87 0.3× 161 0.5× 82 1.7k
William A. Bartlett United Kingdom 28 787 1.6× 266 0.6× 68 0.2× 196 0.7× 465 1.6× 70 2.2k
Gunnar Nordin Sweden 18 340 0.7× 130 0.3× 62 0.2× 465 1.6× 170 0.6× 63 1.5k
Richard L. Tannen United States 27 295 0.6× 656 1.6× 151 0.4× 517 1.7× 218 0.7× 82 1.8k
W. Garry John United Kingdom 24 343 0.7× 424 1.0× 156 0.4× 63 0.2× 1.5k 5.1× 50 2.5k
Pilar Fernández–Calle Spain 29 1.1k 2.2× 272 0.7× 92 0.2× 219 0.7× 176 0.6× 107 2.1k

Countries citing papers authored by David Seccombe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Seccombe

This figure shows the co-authorship network connecting the top 25 collaborators of David Seccombe. A scholar is included among the top collaborators of David Seccombe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Seccombe. David Seccombe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bohn, Mary Kathryn, Dana Bailey, Cynthia Balion, et al.. (2023). Reference Interval Harmonization: Harnessing the Power of Big Data Analytics to Derive Common Reference Intervals across Populations and Testing Platforms. Clinical Chemistry. 69(9). 991–1008. 7 indexed citations
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Buyzere, Marc De, et al.. (2013). Influence of physical properties of cuvette surface on measurement of serum lipase. Clinical Chemistry and Laboratory Medicine (CCLM). 51(11). 2109–2114. 3 indexed citations
5.
Komenda, Paul, Monica Beaulieu, David Seccombe, & Adeera Levin. (2007). Regional Implementation of Creatinine Measurement Standardization. Journal of the American Society of Nephrology. 19(1). 164–169. 32 indexed citations
6.
Mattman, André, Shaun Eintracht, Thomas S. Mock, et al.. (2005). Estimating Pediatric Glomerular Filtration Rates in the Era of Chronic Kidney Disease Staging. Journal of the American Society of Nephrology. 17(2). 487–496. 65 indexed citations
7.
Jin, Andrew, et al.. (2004). Evaluation of a mobile diabetes care telemedicine clinic serving Aboriginal communities in northern British Columbia, Canada. International Journal of Circumpolar Health. 63(sup2). 124–128. 38 indexed citations
8.
Wasan, Kishor M., Elizabeth Donnachie, David Seccombe, & P. Haydn Pritchard. (2002). Effect of Cyclosporine A on the Binding Affinity and Internalization of Low-Density Lipoproteins in Human Skin Fibroblasts. Journal of Pharmaceutical Sciences. 91(12). 2520–2524. 5 indexed citations
9.
McGuinness, C L, David Seccombe, Jiří Fröhlich, et al.. (2000). Laboratory standardization of a large international clinical trial: the DAIS experience. Clinical Biochemistry. 33(1). 15–24. 28 indexed citations
10.
Seccombe, David, et al.. (2000). A study to examine the accuracy of potassium measurements in clinical laboratories across Canada. Clinical Biochemistry. 33(6). 449–456. 4 indexed citations
11.
Bhuiyan, Jalaluddin, P. Haydn Pritchard, Shri V. Pande, & David Seccombe. (1995). Effects of high-fat diet and fasting on levels of acyl-coenzyme a binding protein in liver, kidney, and heart of rat. Metabolism. 44(9). 1185–1189. 40 indexed citations
12.
James, Leighton R., et al.. (1995). Effect of L-carnitine treatment on very low density lipoprotein kinetics in the hyperlipidemic rabbit. Clinical Biochemistry. 28(4). 451–458. 11 indexed citations
13.
Rodrigues, Brian, et al.. (1990). Lack of effect of oral L-carnitine treatment on lipid metabolism and cardiac function in chronically diabetic rats. Canadian Journal of Physiology and Pharmacology. 68(12). 1601–1608. 14 indexed citations
14.
Bell, Robert B., A. Keith W. Brownell, C. R. Roe, et al.. (1990). Electron transfer flavoprotein. Neurology. 40(11). 1779–1779. 23 indexed citations
15.
Fröhlich, Jiří, David Seccombe, & P. Haydn Pritchard. (1989). The role of apoproteins in disorders of lipoprotein metabolism. Clinical Biochemistry. 22(1). 51–56. 2 indexed citations
16.
Seccombe, David, et al.. (1989). A Study into the Nature and Organ Source of Digoxin-Like Immunoreactive Substance(s) in the Perinatal Period. Neonatology. 56(3). 136–146. 15 indexed citations
17.
Scudamore, Charles H., et al.. (1988). Human amnion as a bioprosthesis for bile duct reconstruction in the pig. The American Journal of Surgery. 155(5). 635–640. 8 indexed citations
18.
Seccombe, David, Leighton R. James, Peter Hahn, & Edward L. Jones. (1987). l-Carnitine treatment in the hyperlipidemic rabbit. Metabolism. 36(12). 1192–1196. 39 indexed citations
19.
Schiff, David, George Chan, David Seccombe, & Peter Hahn. (1979). Plasma carnitine levels during intravenous feeding of the neonate. The Journal of Pediatrics. 95(6). 1043–1046. 1 indexed citations
20.
Hahn, Peter, et al.. (1978). CONTROL OF PHOSPHOENOLPYRUVATE CARBOXYKINASE. 1 indexed citations

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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