Niels Jonker

1.6k total citations
43 papers, 1.2k citations indexed

About

Niels Jonker is a scholar working on Physiology, Molecular Biology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Niels Jonker has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 12 papers in Molecular Biology and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Niels Jonker's work include Clinical Laboratory Practices and Quality Control (18 papers), Meta-analysis and systematic reviews (11 papers) and Statistical Methods in Clinical Trials (10 papers). Niels Jonker is often cited by papers focused on Clinical Laboratory Practices and Quality Control (18 papers), Meta-analysis and systematic reviews (11 papers) and Statistical Methods in Clinical Trials (10 papers). Niels Jonker collaborates with scholars based in Netherlands, Spain and Italy. Niels Jonker's co-authors include Anna Carobene, Sverre Sandberg, Jorge Díaz–Garzón, Pilar Fernández–Calle, Abdurrahman Coşkun, Aasne K. Aarsand, William A. Bartlett, Jeroen Kool, Hubertus Irth and Thomas Røraas and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Clinical Chemistry.

In The Last Decade

Niels Jonker

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Niels Jonker Netherlands	21	556	294	254	212	160	43	1.2k
Finlay MacKenzie United Kingdom	19	357 0.6×	241 0.8×	130 0.5×	119 0.6×	160 1.0×	40	1.2k
Jorge Díaz–Garzón Spain	22	717 1.3×	390 1.3×	162 0.6×	283 1.3×	200 1.3×	61	1.3k
Wenxiang Chen China	18	349 0.6×	92 0.3×	367 1.4×	30 0.1×	130 0.8×	76	1.1k
Xinqi Cheng China	21	209 0.4×	100 0.3×	240 0.9×	49 0.2×	177 1.1×	113	1.5k
C.‐H. de Verdier Sweden	17	506 0.9×	148 0.5×	220 0.9×	63 0.3×	157 1.0×	44	1.3k
Eric S Kilpatrick United Kingdom	24	288 0.5×	92 0.3×	228 0.9×	26 0.1×	157 1.0×	71	1.7k
A.M.H.P. van den Besselaar Netherlands	24	349 0.6×	92 0.3×	369 1.5×	35 0.2×	285 1.8×	85	1.6k
Elizabeta Topić Croatia	17	200 0.4×	103 0.4×	190 0.7×	24 0.1×	108 0.7×	69	936
Mary M. Kimberly United States	14	160 0.3×	36 0.1×	165 0.6×	25 0.1×	533 3.3×	22	1.3k
Jenny Y. Chien United States	23	204 0.4×	15 0.1×	951 3.7×	138 0.7×	285 1.8×	48	2.2k

Countries citing papers authored by Niels Jonker

Since Specialization

Citations

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

Fields of papers citing papers by Niels Jonker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Niels Jonker. 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 Niels Jonker. The network helps show where Niels Jonker may publish in the future.

Co-authorship network of co-authors of Niels Jonker

This figure shows the co-authorship network connecting the top 25 collaborators of Niels Jonker. A scholar is included among the top collaborators of Niels Jonker 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 Niels Jonker. Niels Jonker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sansoni, Veronica, Giovanni Lombardi, Jorge Díaz–Garzón, et al.. (2025). Novel biomarkers in bone pathophysiology: Establishing reference intervals and biological variations estimates for serum leptin, sclerostin, lipocalin-2, osteoprotegerin, resistin and Dickkopf-related protein-1 from the European biological variation study (EuBIVAS) populations. Clinica Chimica Acta. 570. 120213–120213.

Bartlett, William A., Sverre Sandberg, Anna Carobene, et al.. (2024). A standard to report biological variation data studies – based on an expert opinion. Clinical Chemistry and Laboratory Medicine (CCLM). 63(1). 52–59. 5 indexed citations

Itkonen, Outi, Niels Jonker, Aasne K. Aarsand, et al.. (2024). The European biological variation study (EuBIVAS): Biological variation data for testosterone, follicle stimulating hormone, prolactin, luteinizing hormone and dehydroepiandrosterone sulfate in men. Clinica Chimica Acta. 555. 117806–117806. 1 indexed citations

Aslan, Berna, Anna Carobene, Niels Jonker, et al.. (2024). Systematic review and meta-analysis of biological variation data of urine albumin, albumin to creatinine ratio and other markers in urine. Clinica Chimica Acta. 566. 120032–120032.

Coşkun, Abdurrahman, Anna Carobene, Michele Mussap, et al.. (2023). Sex-related differences in within-subject biological variation estimates for 22 essential and non-essential amino acids. Clinica Chimica Acta. 552. 117632–117632. 2 indexed citations

Díaz–Garzón, Jorge, Outi Itkonen, Aasne K. Aarsand, et al.. (2023). Biological variation of inflammatory and iron metabolism markers in high-endurance recreational athletes; are these markers useful for athlete monitoring?. Clinical Chemistry and Laboratory Medicine (CCLM). 62(5). 844–852. 1 indexed citations

Heijboer, Annemieke C., Olaf van Tellingen, Andries M. Bergman, et al.. (2021). Retrospective analysis of serum testosterone levels by LC-MS/MS in chemically castrated prostate cancer patients: Biological variation and analytical performance specifications. Clinica Chimica Acta. 521. 70–75. 6 indexed citations

Coşkun, Abdurrahman, Anna Carobene, Aasne K. Aarsand, et al.. (2021). Within- and between-subject biological variation data for serum zinc, copper and selenium obtained from 68 apparently healthy Turkish subjects. Clinical Chemistry and Laboratory Medicine (CCLM). 60(4). 533–542. 8 indexed citations

Jonker, Niels, et al.. (2020). Creatine kinase elevation and discontinuation of clozapine: fear-driven clinical practice in a forensic case with treatment-resistant schizophrenia and persistent violent behaviour. BJPsych Open. 7(1). e4–e4. 2 indexed citations

10.

Díaz–Garzón, Jorge, Pilar Fernández–Calle, Joana Minchinela, et al.. (2019). Biological variation data for lipid cardiovascular risk assessment biomarkers. A systematic review applying the biological variation data critical appraisal checklist (BIVAC). Clinica Chimica Acta. 495. 467–475. 28 indexed citations

11.

Coşkun, Abdurrahman, Anna Carobene, Meltem Kilercik, et al.. (2018). Within-subject and between-subject biological variation estimates of 21 hematological parameters in 30 healthy subjects. Clinical Chemistry and Laboratory Medicine (CCLM). 56(8). 1309–1318. 46 indexed citations

12.

González-Lao, Elisabet, Zoraida Corte, Margarita Sánchez Simón, et al.. (2018). Systematic review of the biological variation data for diabetes related analytes. Clinica Chimica Acta. 488. 61–67. 32 indexed citations

13.

Carobene, Anna, Elena Guerra, Vito Cucchiara, et al.. (2018). Biological variation estimates for prostate specific antigen from the European Biological Variation Study; consequences for diagnosis and monitoring of prostate cancer. Clinica Chimica Acta. 486. 185–191. 31 indexed citations

14.

Carobene, Anna, Marta Strollo, Niels Jonker, et al.. (2016). Sample collections from healthy volunteers for biological variation estimates’ update: a new project undertaken by the Working Group on Biological Variation established by the European Federation of Clinical Chemistry and Laboratory Medicine. Clinical Chemistry and Laboratory Medicine (CCLM). 54(10). 1599–1608. 85 indexed citations

15.

Kool, Jeroen, Niels Jonker, Hubertus Irth, & W.M.A. Niessen. (2011). Studying protein–protein affinity and immobilized ligand–protein affinity interactions using MS-based methods. Analytical and Bioanalytical Chemistry. 401(4). 1109–1125. 38 indexed citations

16.

Jonker, Niels, H. Lingeman, & Hubertus Irth. (2010). Direct Dynamic Protein-Affinity Selection Mass-Spectrometry. Chromatographia. 72(1-2). 7–13. 3 indexed citations

17.

Jonker, Niels, Jeroen Kool, Hubertus Irth, & W.M.A. Niessen. (2010). Recent developments in protein–ligand affinity mass spectrometry. Analytical and Bioanalytical Chemistry. 399(8). 2669–2681. 69 indexed citations

18.

Jonker, Niels, Jeroen Kool, Johannes G. Krabbe, et al.. (2008). Screening of protein–ligand interactions using dynamic protein-affinity chromatography solid-phase extraction–liquid chromatography–mass spectrometry. Journal of Chromatography A. 1205(1-2). 71–77. 10 indexed citations

19.

Jonker, Niels, A. M. Peters, G. Gaskin, C D Pusey, & J. P. Lavender. (1992). A retrospective study of radiolabeled granulocyte kinetics in patients with systemic vasculitis.. PubMed. 33(4). 491–7. 20 indexed citations

20.

Jonker, Niels, et al.. (1992). Pulmonary granulocyte margination is increased in patients with inflammatory bowel disease. Nuclear Medicine Communications. 13(11). 806–810???810. 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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