Cas Weykamp

6.2k citations
102 papers · 4.3k indexed · 1 hit paper · h-index 33

Impact in

Papers in

Cas Weykamp

99 papers receiving 4.0k citations

Hit Papers

IFCC Reference System for Measurement of Hemoglobin A1c in Human Blood and the National Standardization Schemes in the United States, Japan, and Sweden: A Method-Comparison Study 2004 · 561 citations
5612004202620112018100200300400500

Peers

Cas Weykamp
Comparison fields: 5 of 139
  • Endocrinology, Diabetes and Metabolism 2.0k
  • Statistics, Probability and Uncertainty 471
  • Clinical Biochemistry 276
  • Physiology 952
  • Nephrology 238
Replace Linda M. Thienpont with:
Linda M. Thienpont Belgium
Christa M. Cobbaert Netherlands
Ken Sikaris Australia
Rainer Haeckel Germany
George S. Cembrowski Canada
Michael Laposata United States
Andrea Mosca Italy
Vladimír Palička Czechia
Wieland Hoelzel Germany
Anne Vassault France
Cas Weykamp relative to Linda M. Thienpont Belgium Linda M. Thienpont's profile →
Citations per field
00.5×1.5×
Linda M. Thienpont · 1×
Citations per year

Countries citing papers authored by Cas Weykamp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20242
4 20232
5 20235
6 20193
7 201728
8 201720
9 201632
10 201629
11 201635
12 201516
13 201449
14 201229
15 201115
16 200846
17 200632
18 200612
19 200014
20 199612

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.

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