G J Boerma
- Co-authors
- B. LeijnseJan LindemansChrista M. CobbaertA.P. JansenR.B. HelmholdtJ. StratingHJ DegenhartA. M. VAN LEUSEN
- Topics
- Clinical Laboratory Practices and Quality Control (7 papers)Lipoproteins and Cardiovascular Health (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
- Partner nations
- NetherlandsGreece
In The Last Decade
G J Boerma
26 papers receiving 279 citations
Peers
Comparison fields: 5 of 67
- Surgery 90
- Endocrinology, Diabetes and Metabolism 87
- Nutrition and Dietetics 68
- Physiology 56
- Molecular Biology 42
Countries citing papers authored by G J Boerma
This map shows the geographic impact of G J Boerma'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 G J Boerma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G J Boerma more than expected).
Fields of papers citing papers by G J Boerma
This network shows the impact of papers produced by G J Boerma. 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 G J Boerma. The network helps show where G J Boerma may publish in the future.
Co-authorship network of co-authors of G J Boerma
This figure shows the co-authorship network connecting the top 25 collaborators of G J Boerma. A scholar is included among the top collaborators of G J Boerma 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 G J Boerma. G J Boerma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 10 | |
| 3 | 53 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | Multicenter evaluation of Reflotron direct dry-chemistry assay of high-density lipoprotein cholesterol in venous and fingerstick specimens. | 12 |
| 8 | 10 | |
| 9 | 0 | |
| 10 | Calibration of Technicon Chem 1 multitest analysers. | 1 |
| 11 | The Reflotron Total Cholesterol assay in heparinized venous and capillary blood. | 2 |
| 12 | 10 | |
| 13 | Revised calibration of the Reflotron cholesterol assay evaluated. | 14 |
| 14 | In measuring fructosamine in the Cobas Bio and RA-1000, a shorter pre-incubation is feasible. | 1 |
| 15 | 1 | |
| 16 | Improved preparation of cholesterol calibration and control sera. | 3 |
| 17 | 5 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 43 |
About G J Boerma
G J Boerma is a scholar working on Medical Laboratory Technology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 320 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (7 papers), Lipoproteins and Cardiovascular Health (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (87 citations), Nutrition and Dietetics (68 citations) and Physiology (56 citations). G J Boerma has collaborated with scholars based in Netherlands and Greece. Frequent co-authors include B. Leijnse, Jan Lindemans, Christa M. Cobbaert, A.P. Jansen, R.B. Helmholdt, J. Strating, HJ Degenhart, A. M. VAN LEUSEN, Pierre N.M. Demacker and R. van Strik. Their work appears in journals such as American Journal of Clinical Nutrition, Clinical Chemistry and Statistics in Medicine.
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.