Cas Weykamp
Impact in
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- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
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- Meta-analysis and systematic reviews
Papers in
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- Meta-analysis and systematic reviews 9
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- Diabetes Management and Research 28
- Diabetes, Cardiovascular Risks, and Lipoproteins 23
- Co-authors
- Andrea MoscaJan‐Olof JeppssonT J PendersKor MiedemaRandie R. LittleTadao HoshinoW. Garry JohnChrista M. Cobbaert
- Journals
- Clinical Chemistry (30 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (25 papers)Clinica Chimica Acta (14 papers)Accreditation and Quality Assurance (9 papers)Annals of Clinical Biochemistry International Journal of Laboratory Medicine (4 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Cas Weykamp
99 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Endocrinology, Diabetes and Metabolism 2.0k
- Statistics, Probability and Uncertainty 471
- Clinical Biochemistry 276
- Physiology 952
- Nephrology 238
Countries citing papers authored by Cas Weykamp
This map shows the geographic impact of Cas Weykamp'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 Cas Weykamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cas Weykamp more than expected).
Fields of papers citing papers by Cas Weykamp
This network shows the impact of papers produced by Cas Weykamp. 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 Cas Weykamp. The network helps show where Cas Weykamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Cas Weykamp, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2019 | 3 | |
| 7 | 2017 | 28 | |
| 8 | 2017 | 20 | |
| 9 | 2016 | 32 | |
| 10 | 2016 | 29 | |
| 11 | 2016 | 35 | |
| 12 | 2015 | 16 | |
| 13 | 2014 | 49 | |
| 14 | 2012 | 29 | |
| 15 | 2011 | 15 | |
| 16 | 2008 | 46 | |
| 17 | 2006 | 32 | |
| 18 | 2006 | 12 | |
| 19 | 2000 | 14 | |
| 20 | 1996 | 12 |
About Cas Weykamp
Cas Weykamp is a scholar working on Statistics, Probability and Uncertainty, Endocrinology, Diabetes and Metabolism, Chemical Health and Safety, Physiology and Statistics and Probability, having authored 102 papers that have together received 4.3k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (30 papers), Diabetes Management and Research (28 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers), Pesticide Residue Analysis and Safety (11 papers), Cardiovascular Function and Risk Factors (9 papers), Statistical Methods in Clinical Trials (9 papers), Meta-analysis and systematic reviews (9 papers) and Hemoglobinopathies and Related Disorders (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Statistics, Probability and Uncertainty (471 citations), Clinical Biochemistry (276 citations), Physiology (952 citations) and Nephrology (238 citations). Cas Weykamp has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Andrea Mosca, Jan‐Olof Jeppsson, T J Penders, Kor Miedema, Randie R. Little, Tadao Hoshino, W. Garry John, Christa M. Cobbaert, Uwe Kobold and Wieland Hoelzel. Their work appears in journals such as Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Accreditation and Quality Assurance and Annals of Clinical Biochemistry International Journal of Laboratory 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.