Stijn Oonk

521 total citations
11 papers, 387 citations indexed

About

Stijn Oonk is a scholar working on Molecular Biology, Artificial Intelligence and Paleontology. According to data from OpenAlex, Stijn Oonk has authored 11 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Paleontology. Recurrent topics in Stijn Oonk's work include Geochemistry and Geologic Mapping (4 papers), Archaeology and ancient environmental studies (3 papers) and Heavy metals in environment (3 papers). Stijn Oonk is often cited by papers focused on Geochemistry and Geologic Mapping (4 papers), Archaeology and ancient environmental studies (3 papers) and Heavy metals in environment (3 papers). Stijn Oonk collaborates with scholars based in Netherlands, United Kingdom and Sweden. Stijn Oonk's co-authors include Hans Huisman, Caroline P. Slomp, J. Spijker, S.P. Vriend, Marcel de Puit, Yuri E. M. van der Burgt, Peter A.C. ’t Hoen, Annemieke Aartsma‐Rus, Monika Hiller and Hans Dalebout and has published in prestigious journals such as Hepatology, Scientific Reports and Electrochemistry Communications.

In The Last Decade

Stijn Oonk

11 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stijn Oonk Netherlands 9 135 114 69 68 51 11 387
Federica Fontana Italy 16 391 2.9× 76 0.7× 11 0.2× 239 3.5× 11 0.2× 94 948
Armin Schmidt United Kingdom 13 113 0.8× 106 0.9× 52 0.8× 92 1.4× 110 2.2× 30 496
Gilliane Monnier United States 15 430 3.2× 32 0.3× 16 0.2× 295 4.3× 4 0.1× 28 630
Yajun Peng China 9 56 0.4× 113 1.0× 17 0.2× 9 0.1× 25 378
S. N. Udaltsov Russia 11 23 0.2× 93 0.8× 5 0.1× 25 0.4× 3 0.1× 44 311
Rinita A. Dalan United States 11 157 1.2× 110 1.0× 20 0.3× 30 0.4× 56 1.1× 24 441
E Schulz Germany 12 89 0.7× 27 0.2× 8 0.1× 57 0.8× 6 0.1× 47 455
Eduardo García Alfonso United States 5 39 0.3× 20 0.2× 5 0.1× 41 0.6× 3 0.1× 23 239
Vivien Mathé France 8 26 0.2× 62 0.5× 11 0.2× 43 0.6× 23 0.5× 38 218
Xin Zong China 8 38 0.3× 88 0.8× 7 0.1× 62 0.9× 176 3.5× 17 427

Countries citing papers authored by Stijn Oonk

Since Specialization
Citations

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

Fields of papers citing papers by Stijn Oonk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stijn Oonk

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

All Works

11 of 11 papers shown
1.
Aydin, Ömrüm, Annika Wahlström, Patrick A. de Jonge, et al.. (2024). An integrated analysis of bile acid metabolism in humans with severe obesity. Hepatology. 81(1). 19–31. 2 indexed citations
2.
Oonk, Stijn, et al.. (2018). Proteomics as a new tool to study fingermark ageing in forensics. Scientific Reports. 8(1). 16425–16425. 29 indexed citations
3.
Półtorak, Łukasz, et al.. (2018). Acid phosphatase behaviour at an electrified soft junction and its interfacial co-deposition with silica. Electrochemistry Communications. 94. 27–30. 10 indexed citations
4.
Oonk, Stijn & J. Spijker. (2015). A supervised machine-learning approach towards geochemical predictive modelling in archaeology. Journal of Archaeological Science. 59. 80–88. 45 indexed citations
5.
Oonk, Stijn, Pietro Spitali, Monika Hiller, et al.. (2015). Comparative mass spectrometric and immunoassay‐based proteome analysis in serum of Duchenne muscular dystrophy patients. PROTEOMICS - CLINICAL APPLICATIONS. 10(3). 290–299. 29 indexed citations
6.
Hiller, Monika, Pietro Spitali, Stijn Oonk, et al.. (2014). Fibronectin is a serum biomarker for Duchenne muscular dystrophy. PROTEOMICS - CLINICAL APPLICATIONS. 8(3-4). 269–278. 70 indexed citations
7.
Oonk, Stijn, Enrico Cappellini, & Matthew J. Collins. (2012). Soil proteomics: An assessment of its potential for archaeological site interpretation. Organic Geochemistry. 50. 57–67. 14 indexed citations
8.
Oonk, Stijn, Caroline P. Slomp, Hans Huisman, & S.P. Vriend. (2009). Effects of site lithology on geochemical signatures of human occupation in archaeological house plans in the Netherlands. Journal of Archaeological Science. 36(6). 1215–1228. 53 indexed citations
9.
Oonk, Stijn, Caroline P. Slomp, & Hans Huisman. (2009). Geochemistry as an aid in archaeological prospection and site interpretation: current issues and research directions. Archaeological Prospection. 16(1). 35–51. 108 indexed citations
10.
Oonk, Stijn, Caroline P. Slomp, Hans Huisman, & S.P. Vriend. (2008). Geochemical and mineralogical investigation of domestic archaeological soil features at the Tiel-Passewaaij site, The Netherlands. Journal of Geochemical Exploration. 101(2). 155–165. 26 indexed citations
11.
Oonk, Stijn. (2002). The Application of Geochemical Prospection for Dutch Archaeological Resource Management. Data Archiving and Networked Services (DANS). 1 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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