Jeroen Kazius

792 total citations
4 papers, 551 citations indexed

About

Jeroen Kazius is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Jeroen Kazius has authored 4 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 1 paper in Artificial Intelligence. Recurrent topics in Jeroen Kazius's work include Computational Drug Discovery Methods (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Machine Learning in Bioinformatics (1 paper). Jeroen Kazius is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Machine Learning in Bioinformatics (1 paper). Jeroen Kazius collaborates with scholars based in Netherlands. Jeroen Kazius's co-authors include Roberta Bursi, Ross McGuire, Joost N. Kok, Thomas Bäck, Adriaan P. IJzerman, Siegfried Nijssen, Maarten van Iterson and Christoph Helma and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and Human Mutation.

In The Last Decade

Jeroen Kazius

4 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeroen Kazius Netherlands	4	315	202	98	72	68	4	551
Jonathan D. Vessey United Kingdom	13	265 0.8×	145 0.7×	50 0.5×	64 0.9×	34 0.5×	34	567
Joerg Wichard Germany	17	481 1.5×	390 1.9×	112 1.1×	47 0.7×	186 2.7×	38	1.1k
Timon Schroeter Germany	12	466 1.5×	265 1.3×	46 0.5×	103 1.4×	188 2.8×	14	631
Qian Xie United States	7	424 1.3×	234 1.2×	40 0.4×	86 1.2×	91 1.3×	10	688
Martin Gütlein Germany	9	212 0.7×	193 1.0×	124 1.3×	36 0.5×	36 0.5×	10	644
Tomasz Arodź United States	12	220 0.7×	247 1.2×	72 0.7×	37 0.5×	69 1.0×	27	601
Haixin Ai China	14	325 1.0×	462 2.3×	37 0.4×	39 0.5×	69 1.0×	28	822
Suman Chakravarti United States	12	278 0.9×	171 0.8×	15 0.2×	62 0.9×	70 1.0×	26	494
Rosa L. Lopez de Compadre United States	12	217 0.7×	258 1.3×	295 3.0×	59 0.8×	83 1.2×	15	921
Carol A. Marchant United Kingdom	11	585 1.9×	318 1.6×	29 0.3×	130 1.8×	33 0.5×	16	952

Countries citing papers authored by Jeroen Kazius

Since Specialization

Citations

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

Fields of papers citing papers by Jeroen Kazius

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeroen Kazius

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

All Works

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4 of 4 papers shown

1.

Kazius, Jeroen, et al.. (2007). GPCR NaVa database: natural variants in human G protein-coupled receptors. Human Mutation. 29(1). 39–44. 37 indexed citations

2.

Helma, Christoph & Jeroen Kazius. (2006). Artificial Intelligence and Data Mining for Toxicity Prediction. Current Computer - Aided Drug Design. 2(2). 123–133. 9 indexed citations

3.

Kazius, Jeroen, Siegfried Nijssen, Joost N. Kok, Thomas Bäck, & Adriaan P. IJzerman. (2006). Substructure Mining Using Elaborate Chemical Representation. Journal of Chemical Information and Modeling. 46(2). 597–605. 58 indexed citations

4.

Kazius, Jeroen, Ross McGuire, & Roberta Bursi. (2004). Derivation and Validation of Toxicophores for Mutagenicity Prediction. Journal of Medicinal Chemistry. 48(1). 312–320. 447 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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