W. van der Slik

1.5k total citations
41 papers, 1.3k citations indexed

About

W. van der Slik is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Physiology. According to data from OpenAlex, W. van der Slik has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Pediatrics, Perinatology and Child Health and 7 papers in Physiology. Recurrent topics in W. van der Slik's work include Adenosine and Purinergic Signaling (7 papers), Neonatal Health and Biochemistry (6 papers) and Biochemical and Molecular Research (6 papers). W. van der Slik is often cited by papers focused on Adenosine and Purinergic Signaling (7 papers), Neonatal Health and Biochemistry (6 papers) and Biochemical and Molecular Research (6 papers). W. van der Slik collaborates with scholars based in Netherlands and United States. W. van der Slik's co-authors include J.-P. Persijn, Frits A.J. Muskiet, T J Penders, Cas Weykamp, B.G. Wolthers, A. Riethorst, Jasper J. van Doormaal, Ingrid A. Martini, Ruud Berger and Henk Schierbeek and has published in prestigious journals such as Clinical Chemistry, Clinica Chimica Acta and Clinical Biochemistry.

In The Last Decade

W. van der Slik

40 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. van der Slik Netherlands 18 350 286 216 157 129 41 1.3k
Neil Chiamori United States 12 282 0.8× 177 0.6× 164 0.8× 144 0.9× 60 0.5× 18 1.3k
Denis Blache France 21 453 1.3× 238 0.8× 304 1.4× 247 1.6× 124 1.0× 35 1.8k
N. Zöllner Germany 21 449 1.3× 331 1.2× 247 1.1× 195 1.2× 39 0.3× 207 1.8k
Anthony J. Barak United States 24 466 1.3× 152 0.5× 225 1.0× 224 1.4× 39 0.3× 78 1.9k
N W Tietz United States 15 241 0.7× 206 0.7× 130 0.6× 183 1.2× 69 0.5× 40 1.3k
N. Katz Germany 17 432 1.2× 96 0.3× 216 1.0× 295 1.9× 61 0.5× 46 1.4k
Phin Cohen United States 25 490 1.4× 180 0.6× 284 1.3× 327 2.1× 449 3.5× 44 2.0k
E. Della Corte Italy 14 803 2.3× 181 0.6× 150 0.7× 190 1.2× 29 0.2× 20 1.9k
Nadine Loreau France 16 797 2.3× 150 0.5× 131 0.6× 156 1.0× 47 0.4× 35 1.5k
Sumi Nagase Japan 24 820 2.3× 141 0.5× 110 0.5× 201 1.3× 60 0.5× 131 2.1k

Countries citing papers authored by W. van der Slik

Since Specialization
Citations

This map shows the geographic impact of W. van der Slik'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 W. van der Slik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. van der Slik more than expected).

Fields of papers citing papers by W. van der Slik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. van der Slik. 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 W. van der Slik. The network helps show where W. van der Slik may publish in the future.

Co-authorship network of co-authors of W. van der Slik

This figure shows the co-authorship network connecting the top 25 collaborators of W. van der Slik. A scholar is included among the top collaborators of W. van der Slik 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 W. van der Slik. W. van der Slik 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.
Volmer, Marcel, et al.. (1994). Artificial neural network predictions of urinary calculus compositions analyzed with infrared spectroscopy. Clinical Chemistry. 40(9). 1692–1697. 25 indexed citations
2.
Weykamp, Cas, T J Penders, Frits A.J. Muskiet, & W. van der Slik. (1994). Effect of calibration on dispersion of glycohemoglobin values determined by 111 laboratories using 21 methods.. PubMed. 40(1). 138–44. 54 indexed citations
3.
Weykamp, Cas, T J Penders, Carla Siebelder, Frits A.J. Muskiet, & W. van der Slik. (1993). Interference of carbamylated and acetylated hemoglobins in assays of glycohemoglobin by HPLC, electrophoresis, affinity chromatography, and enzyme immunoassay. Clinical Chemistry. 39(1). 138–142. 88 indexed citations
4.
Dikkeschei, L.D., et al.. (1991). GC-MS AS A REFERENCE METHOD IN IMMUNOCHEMICAL STEROID-HORMONE ANALYSES. University of Groningen research database (University of Groningen / Centre for Information Technology). 14(1). 37–43. 1 indexed citations
5.
Dikkeschei, L.D., et al.. (1990). Determination of megestrol acetate and cyproterone acetate in serum of patients with advanced breast cancer by high-performance liquid chromatography. Journal of Chromatography B Biomedical Sciences and Applications. 529(1). 145–154. 6 indexed citations
6.
Koopman, B.J., et al.. (1987). Cerebrotendinous xanthomatosis: A review of biochemical findings of the patient population in the netherlands. Journal of Inherited Metabolic Disease. 11(1). 56–75. 19 indexed citations
7.
Wolthers, B.G., et al.. (1986). Bioavailability of orally administered zinc, using Taurizine. Pharmacy World & Science. 8(1). 85–88.
8.
9.
Pavel, S & W. van der Slik. (1986). Analysis of eumelanin-related indolic compounds in urine by high-performance liquid chromatography with fluorimetric detection. Journal of Chromatography B Biomedical Sciences and Applications. 375(2). 392–398. 16 indexed citations
10.
Wolthers, B.G., et al.. (1986). Determination of volatile fatty acids by gas chromatography on a capillary and a megabore column. Clinica Chimica Acta. 156(2). 207–214. 7 indexed citations
11.
Hindriks, F.R., et al.. (1986). A model for cost analysis–application to clinical laboratory test economics using computer facilities. Journal of Analytical Methods in Chemistry. 8(4). 178–185. 1 indexed citations
12.
Keyzer, J. J., B.G. Wolthers, H. Breukelman, W. van der Slik, & K. de Vries. (1983). Determination of Nτ-methylhistamine in urine by gas chromatography using nitrogen—phosphorus detection. Journal of Chromatography B Biomedical Sciences and Applications. 275(2). 261–269. 25 indexed citations
13.
Pavel, S, Frits A.J. Muskiet, Lisa Ley, T H Thé, & W. van der Slik. (1983). Identification of three indolic compounds in a pigmented-melanoma cell-culture supernatant by gas chromatography-mass spectrometry. Journal of Cancer Research and Clinical Oncology. 105(3). 275–279. 36 indexed citations
14.
Slik, W. van der, et al.. (1980). Automated Method for the Determination of 5′-Nucleotidase in Serum by Continuous Flow Analysis. Clinical Chemistry and Laboratory Medicine (CCLM). 18(6). 333–338. 2 indexed citations
15.
Persijn, J.-P., et al.. (1971). Colorimetric assay for γ-glutamyl transpeptidase. Clinica Chimica Acta. 35(1). 239–240. 20 indexed citations
16.
Persijn, J.-P., W. van der Slik, & A. Riethorst. (1971). Determination of serum iron and Latent Iron-Binding Capacity (LIBC). Clinica Chimica Acta. 35(1). 91–98. 131 indexed citations
17.
Slik, W. van der, J.-P. Persijn, E Engelsman, & A. Riethorst. (1970). Serum 5′-Nucleotidase. Clinical Biochemistry. 3(1). 59–80. 13 indexed citations
18.
Slik, W. van der, et al.. (1970). Serum 5′-nucleotidase. Clinical Biochemistry. 3(1). 59–80. 3 indexed citations
19.
Persijn, J.-P., et al.. (1969). A New Method for the Determination of Serum Nucleotidase. III Inhibition of alkaline phosphatase. Clinical Chemistry and Laboratory Medicine (CCLM). 7(5). 493–7. 4 indexed citations
20.
Slik, W. van der, et al.. (1964). The accuracy of sodium and potassium determinations in the clinical laboratory. Clinica Chimica Acta. 9(1). 99–99. 6 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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