Jan Aerts

17.0k total citations · 1 hit paper
65 papers, 5.4k citations indexed

About

Jan Aerts is a scholar working on Molecular Biology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jan Aerts has authored 65 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 17 papers in Genetics and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jan Aerts's work include Genomics and Phylogenetic Studies (15 papers), Bioinformatics and Genomic Networks (13 papers) and Data Visualization and Analytics (10 papers). Jan Aerts is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Bioinformatics and Genomic Networks (13 papers) and Data Visualization and Analytics (10 papers). Jan Aerts collaborates with scholars based in Belgium, United Kingdom and United States. Jan Aerts's co-authors include Sara Aibar, Stein Aerts, Carmen Bravo González‐Blas, Thomas Moerman, Florian Rambow, Zeynep Kalender Atak, Gert Hulselmans, Jean‐Christophe Marine, Vân Anh Huynh‐Thu and Pierre Geurts and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jan Aerts

60 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SCENIC: single-cell regulatory network inference and clustering

2017 3.1k citations Jan Aerts et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Aerts Belgium	21	3.3k	1.1k	893	736	564	65	5.4k
Priit Adler Estonia	13	3.5k 1.0×	823 0.7×	857 1.0×	939 1.3×	401 0.7×	18	6.0k
Malte Spielmann Germany	27	3.9k 1.2×	800 0.7×	1.2k 1.3×	678 0.9×	359 0.6×	90	5.7k
Marc Carlson United States	17	3.1k 0.9×	843 0.7×	742 0.8×	701 1.0×	332 0.6×	22	4.9k
Davide Risso United States	25	4.3k 1.3×	928 0.8×	442 0.5×	1.1k 1.6×	581 1.0×	47	6.0k
Aaron T. L. Lun Australia	31	4.7k 1.4×	1.4k 1.2×	457 0.5×	1.1k 1.4×	514 0.9×	44	6.3k
Steffen Durinck United States	18	3.2k 1.0×	590 0.5×	914 1.0×	990 1.3×	464 0.8×	32	5.0k
Matthew R. Jones United States	17	4.1k 1.2×	942 0.8×	1.3k 1.4×	1.1k 1.6×	665 1.2×	31	7.2k
Daniele Merico Canada	31	3.8k 1.1×	719 0.6×	1.6k 1.8×	1.1k 1.5×	536 1.0×	78	6.6k
Hideya Kawaji Japan	40	4.2k 1.3×	927 0.8×	499 0.6×	1.3k 1.8×	421 0.7×	126	5.7k
Vân Anh Huynh‐Thu Belgium	14	3.7k 1.1×	1.2k 1.1×	288 0.3×	745 1.0×	587 1.0×	26	5.2k

Countries citing papers authored by Jan Aerts

Since Specialization

Citations

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

Fields of papers citing papers by Jan Aerts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Aerts

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jamiołkowski, Jacek, Valentino D’Onofrio, Dirk Valkenborg, et al.. (2024). Synthetic plasma pool cohort correction for affinity-based proteomics datasets allows multiple study comparison. Briefings in Bioinformatics. 26(1).

Poblome, Jeroen, et al.. (2023). Fuzzy Typological (Re)arrangement: a Prototype of Rethinking the Typology of Roman Tablewares from Sagalassos, Southwest Anatolia. Journal of Archaeological Method and Theory. 31(3). 707–760.

Aerts, Jan, et al.. (2018). MCLEAN: Multilevel Clustering Exploration As Network. PeerJ Computer Science. 4. e145–e145. 3 indexed citations

Tranchevent, Léon-Charles, Amin Ardeshirdavani, Sarah ElShal, et al.. (2016). Candidate gene prioritization with Endeavour. Nucleic Acids Research. 44(W1). W117–W121. 72 indexed citations

Sakai, Ryo & Jan Aerts. (2014). Sequence Diversity Diagram for comparative analysis of multiple sequence alignments. BMC Proceedings. 8(S2). S9–S9. 6 indexed citations

Pavlopoulos, Georgios A., Anastasis Oulas, Alejandro Sifrim, et al.. (2013). Unraveling genomic variation from next generation sequencing data. BioData Mining. 6(1). 13–13. 34 indexed citations

Sifrim, Alejandro, Dušan Popović, Léon-Charles Tranchevent, et al.. (2013). eXtasy: variant prioritization by genomic data fusion. Nature Methods. 10(11). 1083–1084. 125 indexed citations

Pavlopoulos, Georgios A., Parveen Kumar, Alejandro Sifrim, et al.. (2013). Meander: visually exploring the structural variome using space-filling curves. Nucleic Acids Research. 41(11). e118–e118. 7 indexed citations

Tranchevent, Léon-Charles, et al.. (2012). Visualizing high dimensional datasets using parallel coordinaties : application to gene prioritization. International Conference on Bioinformatics. 52–57. 1 indexed citations

10.

Johansson, Stefan, Henrik Irgens, Janne Molnes, et al.. (2012). Exome sequencing and genetic testing for monogenic diabetes. PLoS ONE. 7(5). 2 indexed citations

11.

Johansson, Stefan, Henrik Irgens, Janne Molnes, et al.. (2012). Exome Sequencing and Genetic Testing for MODY. PLoS ONE. 7(5). e38050–e38050. 88 indexed citations

12.

Mishima, Hiroyuki, Jan Aerts, Toshiaki Katayama, Raoul J.P. Bonnal, & Koh-ichiro Yoshiura. (2012). The Ruby UCSC API: accessing the UCSC genome database using Ruby. BMC Bioinformatics. 13(1). 240–240. 2 indexed citations

13.

Sifrim, Alejandro, Léon-Charles Tranchevent, Beata Nowakowska, et al.. (2012). Annotate-it: a Swiss-knife approach to annotation, analysis and interpretation of single nucleotide variation in human disease. Genome Medicine. 4(9). 73–73. 26 indexed citations

14.

Pavlopoulos, Georgios A., Maria Secrier, Charalampos Moschopoulos, et al.. (2011). Using graph theory to analyze biological networks. BioData Mining. 4(1). 10–10. 460 indexed citations

15.

Aerts, Jan, A. J. Matas, David E.R. Sutherland, & Raja Kandaswamy. (2009). Chylous Ascites Requiring Surgical Intervention after Donor Nephrectomy: Case Series and Single Center Experience. American Journal of Transplantation. 10(1). 124–128. 36 indexed citations

16.

Aerts, Jan, Hendrik‐Jan Megens, Tineke Veenendaal, et al.. (2007). Extent of linkage disequilibrium in chicken. Cytogenetic and Genome Research. 117(1-4). 338–345. 37 indexed citations

17.

McKay, Stephanie, Robert D. Schnabel, Brenda M. Murdoch, et al.. (2007). Whole genome linkage disequilibrium maps in cattle. BMC Genetics. 8(1). 74–74. 198 indexed citations

18.

Aerts, Jan, Tineke Veenendaal, J.J. van der Poel, R.P.M.A. Crooijmans, & Martien A. M. Groenen. (2005). Chromosomal assignment of chicken clone contigs by extending the consensus linkage map. Animal Genetics. 36(3). 216–222. 5 indexed citations

19.

Aerts, Jan, S.J.B. Cornelissen, Tineke Veenendaal, et al.. (2003). Integration of chicken genomic resources to enable whole-genome sequencing. Cytogenetic and Genome Research. 102(1-4). 297–303. 15 indexed citations

20.

Aerts, Jan, et al.. (2002). Data mining of public SNP databases for the selection of intragenic SNPs. Human Mutation. 20(3). 162–173. 16 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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