Stan Gaj

2.9k total citations
17 papers, 855 citations indexed

About

Stan Gaj is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Stan Gaj has authored 17 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Cancer Research. Recurrent topics in Stan Gaj's work include Molecular Biology Techniques and Applications (4 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). Stan Gaj is often cited by papers focused on Molecular Biology Techniques and Applications (4 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). Stan Gaj collaborates with scholars based in Netherlands, United States and Germany. Stan Gaj's co-authors include Chris T. Evelo, Jos Kleinjans, Sandra M.H. Claessen, Florian Caiment, Lars Eijssen, Kristina Hanspers, Alexander R. Pico, Karen Vranizan, Bruce R. Conklin and Isaac Ho and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Antioxidants and Redox Signaling.

In The Last Decade

Stan Gaj

17 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stan Gaj Netherlands	14	497	210	110	93	86	17	855
Nuray Varol Türkiye	14	404 0.8×	131 0.6×	60 0.5×	57 0.6×	63 0.7×	31	766
Ilijana Grigorov Serbia	15	283 0.6×	126 0.6×	82 0.7×	99 1.1×	33 0.4×	60	790
Xun Hu China	23	1.1k 2.2×	236 1.1×	46 0.4×	81 0.9×	192 2.2×	49	1.8k
Li Song China	16	277 0.6×	90 0.4×	81 0.7×	153 1.6×	62 0.7×	39	664
İlhan Onaran Türkiye	16	296 0.6×	72 0.3×	125 1.1×	116 1.2×	44 0.5×	55	872
Rui Hua China	18	256 0.5×	76 0.4×	38 0.3×	127 1.4×	67 0.8×	44	901
Xiuli Lu China	19	450 0.9×	83 0.4×	57 0.5×	28 0.3×	55 0.6×	44	883
Zhen Yu China	18	537 1.1×	142 0.7×	158 1.4×	40 0.4×	82 1.0×	54	1.2k

Countries citing papers authored by Stan Gaj

Since Specialization

Citations

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

Fields of papers citing papers by Stan Gaj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stan Gaj

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

All Works

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17 of 17 papers shown

Caiment, Florian, Stan Gaj, Sandra M.H. Claessen, & Jos Kleinjans. (2015). High-throughput data integration of RNA–miRNA–circRNA reveals novel insights into mechanisms of benzo[a]pyrene-induced carcinogenicity. Nucleic Acids Research. 43(5). 2525–2534. 113 indexed citations

Ruiz‐Aracama, Ainhoa, Danyel Jennen, Stan Gaj, et al.. (2015). Integrating multiple omics to unravel mechanisms of Cyclosporin A induced hepatotoxicity in vitro. Toxicology in Vitro. 29(3). 489–501. 29 indexed citations

Breda, Simone G. van, Lonneke C. Wilms, Stan Gaj, et al.. (2015). The exposome concept in a human nutrigenomics study: evaluating the impact of exposure to a complex mixture of phytochemicals using transcriptomics signatures. Mutagenesis. 30(6). 723–731. 18 indexed citations

Breda, Simone G. van, Sandra M.H. Claessen, Ken C. Lo, et al.. (2014). Epigenetic mechanisms underlying arsenic-associated lung carcinogenesis. Archives of Toxicology. 89(11). 1959–1969. 36 indexed citations

Hebels, Dennie G.A.J., Marlon J. Jetten, Hugo J.W.L. Aerts, et al.. (2014). Evaluation of Database-Derived Pathway Development for Enabling Biomarker Discovery for Hepatotoxicity. Biomarkers in Medicine. 8(2). 185–200. 13 indexed citations

Eijssen, Lars, Magali Jaillard, Michiel Adriaens, et al.. (2013). User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org. Nucleic Acids Research. 41(W1). W71–W76. 105 indexed citations

Breda, Simone G. van, Lonneke C. Wilms, Stan Gaj, et al.. (2013). Can Transcriptomics Provide Insight into the Chemopreventive Mechanisms of Complex Mixtures of Phytochemicals in Humans?. Antioxidants and Redox Signaling. 20(14). 2107–2113. 11 indexed citations

Jetten, Marlon J., Stan Gaj, Ainhoa Ruiz‐Aracama, et al.. (2012). 'Omics analysis of low dose acetaminophen intake demonstrates novel response pathways in humans. Toxicology and Applied Pharmacology. 259(3). 320–328. 36 indexed citations

Delft, Joost van, Stan Gaj, Matthias Lienhard, et al.. (2012). RNA-Seq Provides New Insights in the Transcriptome Responses Induced by the Carcinogen Benzo[a]pyrene. Toxicological Sciences. 130(2). 427–439. 56 indexed citations

10.

Lizárraga, Daneida, Stan Gaj, Karen Brauers, et al.. (2012). Benzo[a]pyrene-Induced Changes in MicroRNA–mRNA Networks. Chemical Research in Toxicology. 25(4). 838–849. 44 indexed citations

11.

Zambon, Alexander C., Stan Gaj, Isaac Ho, et al.. (2012). GO-Elite: a flexible solution for pathway and ontology over-representation. Bioinformatics. 28(16). 2209–2210. 192 indexed citations

12.

Bolleyn, Jennifer, Joanna Fraczek, Mathieu Vinken, et al.. (2011). Effect of Trichostatin A on miRNA expression in cultures of primary rat hepatocytes. Toxicology in Vitro. 25(6). 1173–1182. 13 indexed citations

13.

Jennen, Danyel, Stan Gaj, Pieter Giesbertz, et al.. (2010). Biotransformation pathway maps in WikiPathways enable direct visualization of drug metabolism related expression changes. Drug Discovery Today. 15(19-20). 851–858. 20 indexed citations

14.

Kipp, Anna P., Antje Banning, Evert M. van Schothorst, et al.. (2009). Four selenoproteins, protein biosynthesis, and Wnt signalling are particularly sensitive to limited selenium intake in mouse colon. Molecular Nutrition & Food Research. 53(12). 1561–1572. 99 indexed citations

15.

Castagnini, Cinzia, Cristina Luceri, Simona Toti, et al.. (2009). Reduction of colonic inflammation in HLA-B27 transgenic rats by feeding Marie Ménard apples, rich in polyphenols. British Journal Of Nutrition. 102(11). 1620–1628. 36 indexed citations

16.

Gaj, Stan, Lars Eijssen, Ronald P. Mensink, & Chris T. Evelo. (2008). Validating nutrient-related gene expression changes from microarrays using RT2 PCR-arrays. Genes & Nutrition. 3(3-4). 153–157. 22 indexed citations

17.

Gaj, Stan, et al.. (2007). Linking microarray reporters with protein functions. BMC Bioinformatics. 8(1). 360–360. 12 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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