Yannick Gansemans

2.2k total citations
57 papers, 1.5k citations indexed

About

Yannick Gansemans is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Yannick Gansemans has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Immunology. Recurrent topics in Yannick Gansemans's work include Genomics and Phylogenetic Studies (6 papers), MicroRNA in disease regulation (5 papers) and Bacteriophages and microbial interactions (4 papers). Yannick Gansemans is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), MicroRNA in disease regulation (5 papers) and Bacteriophages and microbial interactions (4 papers). Yannick Gansemans collaborates with scholars based in Belgium, United States and Australia. Yannick Gansemans's co-authors include Filip Van Nieuwerburgh, Marc Lauwereys, Dieter Deforce, Patrick Stanssens, Joris Messens, Laurent Jespers, Ignace Lasters, Mario Vaneechoutte, Leen Van Simaey and Yves Laroche and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Yannick Gansemans

50 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yannick Gansemans Belgium 20 810 259 243 172 164 57 1.5k
Claude Auriault France 29 661 0.8× 355 1.4× 197 0.8× 62 0.4× 159 1.0× 100 2.5k
Kathryn Sykes United States 18 749 0.9× 156 0.6× 155 0.6× 56 0.3× 31 0.2× 41 1.3k
Eric Guenzi Germany 16 616 0.8× 76 0.3× 186 0.8× 123 0.7× 23 0.1× 27 1.8k
Libuse A. Bobek United States 24 1.1k 1.4× 195 0.8× 103 0.4× 509 3.0× 39 0.2× 54 2.1k
Tie Chen China 20 438 0.5× 76 0.3× 159 0.7× 384 2.2× 27 0.2× 52 1.5k
Hui Cai United States 23 1.0k 1.3× 124 0.5× 103 0.4× 27 0.2× 40 0.2× 43 2.6k
Ronald A. Craig United States 17 708 0.9× 106 0.4× 74 0.3× 133 0.8× 37 0.2× 31 1.6k
Lakshmi C. Wijeyewickrema Australia 22 431 0.5× 61 0.2× 200 0.8× 39 0.2× 287 1.8× 50 1.6k
Gabriela Dveksler United States 29 996 1.2× 116 0.4× 305 1.3× 42 0.2× 110 0.7× 69 2.9k
Arthur E. Franke United States 16 762 0.9× 190 0.7× 77 0.3× 75 0.4× 53 0.3× 19 1.4k

Countries citing papers authored by Yannick Gansemans

Since Specialization
Citations

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

Fields of papers citing papers by Yannick Gansemans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannick Gansemans

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

All Works

20 of 20 papers shown
1.
Gansemans, Yannick, Joél Smet, Xavier Verhelst, et al.. (2025). Mitochondrial dysfunction characterises the multigenerational effects of maternal obesity on MASLD. JHEP Reports. 7(6). 101404–101404. 1 indexed citations
2.
Vrieze, Jo De, Yannick Gansemans, Dieter Deforce, et al.. (2025). Food hydrocolloids κ-carrageenan and xanthan gum in processed red meat modify gut health in rats. Current Research in Food Science. 11. 101162–101162.
3.
Gansemans, Yannick, Gavin Kelsey, António Galvão, et al.. (2025). Single-cell multiomic analysis reveals methylome and transcriptome deviations following oocyte maturation in vitro. Reproduction. 170(2).
4.
Gansemans, Yannick, Filip Van Nieuwerburgh, Dieter Deforce, et al.. (2024). Baselining physiological parameters in three muscles across three equine breeds. What can we learn from the horse?. Frontiers in Physiology. 15. 1291151–1291151.
5.
Gansemans, Yannick, Filip Van Nieuwerburgh, Eveline Peeters, et al.. (2024). Impact of nutrient excess on physiology and metabolism of Sulfolobus acidocaldarius. Frontiers in Microbiology. 15. 1475385–1475385.
6.
Ali, Muhammad, Yannick Gansemans, Filip Van Nieuwerburgh, et al.. (2023). Severe udder cleft dermatitis lesion transcriptomics points to an impaired skin barrier, defective wound repair and a dysregulated inflammatory response as key elements in the pathogenesis. PLoS ONE. 18(7). e0288347–e0288347. 3 indexed citations
7.
Asaoka, Tomoko, et al.. (2023). Myeloid OTULIN deficiency couples RIPK3-dependent cell death to Nlrp3 inflammasome activation and IL-1β secretion. Science Immunology. 8(89). eadf4404–eadf4404. 6 indexed citations
8.
Ali, Muhammad, Yannick Gansemans, Filip Van Nieuwerburgh, et al.. (2023). An in-depth investigation of the microbiota and its virulence factors associated with severe udder cleft dermatitis lesions. Journal of Dairy Science. 107(5). 3219–3234. 4 indexed citations
9.
Lebeaux, David, Maia Merabishvili, Éric Caudron, et al.. (2021). A Case of Phage Therapy against Pandrug-Resistant Achromobacter xylosoxidans in a 12-Year-Old Lung-Transplanted Cystic Fibrosis Patient. Viruses. 13(1). 60–60. 88 indexed citations
10.
Amorim, Mónica J.B., Yannick Gansemans, Susana I.L. Gomes, Filip Van Nieuwerburgh, & Janeck J. Scott‐Fordsmand. (2021). Annelid genomes: Enchytraeus crypticus, a soil model for the innate (and primed) immune system. Lab Animal. 50(10). 285–294. 15 indexed citations
11.
D’Alba, Liliana, et al.. (2021). Untangling the structural and molecular mechanisms underlying colour and rapid colour change in a lizard, Agama atra. Molecular Ecology. 30(10). 2262–2284. 11 indexed citations
12.
Smits, Katrien, Yannick Gansemans, Laurentijn Tilleman, et al.. (2020). Maternal Recognition of Pregnancy in the Horse: Are MicroRNAs the Secret Messengers?. International Journal of Molecular Sciences. 21(2). 419–419. 13 indexed citations
13.
Santos, Dulce, Elise Vogel, Luoluo Wang, et al.. (2019). Generation of Virus- and dsRNA-Derived siRNAs with Species-Dependent Length in Insects. Viruses. 11(8). 738–738. 51 indexed citations
14.
Fauvart, Maarten, et al.. (2019). Silicon µPCR Chip for Forensic STR Profiling with Hybeacon Probe Melting Curves. Scientific Reports. 9(1). 6 indexed citations
15.
Gansemans, Yannick, et al.. (2018). Forensic tri-allelic SNP genotyping using nanopore sequencing. Forensic Science International Genetics. 38. 204–210. 34 indexed citations
16.
Fauvart, Maarten, et al.. (2018). Multiplex STR amplification sensitivity in a silicon microchip. Scientific Reports. 8(1). 9853–9853. 7 indexed citations
18.
Pan, Guohui, Zhengren Xu, Zhi‐Kai Guo, et al.. (2017). Discovery of the leinamycin family of natural products by mining actinobacterial genomes. Proceedings of the National Academy of Sciences. 114(52). E11131–E11140. 85 indexed citations
19.
Neste, Christophe Van, Yannick Gansemans, Dieter De Coninck, et al.. (2014). Forensic massively parallel sequencing data analysis tool: Implementation of MyFLq as a standalone web- and Illumina BaseSpace®-application. Forensic Science International Genetics. 15. 2–7. 21 indexed citations
20.
Stanssens, Patrick, Marc Zabeau, Geert Meersseman, et al.. (2004). High-Throughput MALDI-TOF Discovery of Genomic Sequence Polymorphisms. Genome Research. 14(1). 126–133. 93 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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