David Seccombe

2.2k citations
57 papers · 1.6k · h-index 24

Impact in

Papers in

    • Diet and metabolism studies 10
    • Clinical Laboratory Practices and Quality Control 9
    • Mitochondrial Function and Pathology 7
    • Peroxisome Proliferator-Activated Receptors 6

David Seccombe

54 papers receiving 1.5k citations

Peers

David Seccombe
Comparison fields: 5 of 115
  • Clinical Biochemistry 399
  • Nephrology 298
  • Physiology 480
  • Endocrinology, Diabetes and Metabolism 293
  • Statistics, Probability and Uncertainty 124
Replace Anne Vassault with:
Anne Vassault France
Bernard E. Statland United States
William A. Bartlett United Kingdom
Eric S Kilpatrick United Kingdom
Nora Nikolac Croatia
V. Mallika India
Richard L. Tannen United States
Raffick A.R. Bowen United States
Kor Miedema Netherlands
Brad S. Karon United States
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Citations per field
00.5×2.7×
Anne Vassault · 1×
Citations per year

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-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.

Border = papers with David Seccombe Line = papers co-authored together David Seccombe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008261
2 2010188
3 1978117
4 201377
5 197868
6 200565
7 198353
8 200852
9 200851
10 200250
11 197743
12 199540
13 198640
14 198739
15 200438
16 197735
17 198433
18 200732
19 200028
20 201728

About David Seccombe

David Seccombe is a scholar working on Physiology, Molecular Biology, Clinical Biochemistry, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 57 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), Clinical Laboratory Practices and Quality Control (9 papers), Chronic Kidney Disease and Diabetes (7 papers), Mitochondrial Function and Pathology (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 (399 citations), Nephrology (298 citations), Physiology (480 citations), Endocrinology, Diabetes and Metabolism (293 citations) and Statistics, Probability and Uncertainty (124 citations). David Seccombe has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Peter Hahn, Alex Katayev, Jiří Fröhlich, I. Hynie, Morris Pudek, Peter Dodek, W. Greg Miller, Martin Novák, Leighton R. James and Beryl Jacobson. Their work appears in journals such as Clinical Biochemistry, Clinical Chemistry, Metabolism, Clinical Chemistry and Laboratory Medicine (CCLM) 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.

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