Jonas Bylemans

990 total citations
17 papers, 693 citations indexed

About

Jonas Bylemans is a scholar working on Ecology, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Jonas Bylemans has authored 17 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 14 papers in Molecular Biology and 6 papers in Nature and Landscape Conservation. Recurrent topics in Jonas Bylemans's work include Environmental DNA in Biodiversity Studies (14 papers), Identification and Quantification in Food (12 papers) and Microbial Community Ecology and Physiology (8 papers). Jonas Bylemans is often cited by papers focused on Environmental DNA in Biodiversity Studies (14 papers), Identification and Quantification in Food (12 papers) and Microbial Community Ecology and Physiology (8 papers). Jonas Bylemans collaborates with scholars based in Australia, Italy and Switzerland. Jonas Bylemans's co-authors include Dianne Gleeson, Elise M. Furlan, Christopher M. Hardy, Richard P. Duncan, Mark Lintermans, Luke Pearce, Dean M. Gilligan, Laura M. Castellano, Elena Valsecchi and Andrea Galimberti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Scientific Reports.

In The Last Decade

Jonas Bylemans

16 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Bylemans Australia 12 652 572 153 51 29 17 693
Cristina Di Muri Italy 10 384 0.6× 342 0.6× 129 0.8× 77 1.5× 42 1.4× 24 473
Cécilia Hernandez Canada 11 390 0.6× 341 0.6× 109 0.7× 20 0.4× 51 1.8× 15 461
Naiara Guimarães Sales United Kingdom 13 504 0.8× 460 0.8× 208 1.4× 82 1.6× 23 0.8× 28 663
David Halfmaerten Belgium 8 529 0.8× 419 0.7× 111 0.7× 75 1.5× 59 2.0× 19 562
Toshiaki Jo Japan 15 920 1.4× 774 1.4× 156 1.0× 54 1.1× 43 1.5× 35 963
Charles Baillie United Kingdom 12 387 0.6× 336 0.6× 76 0.5× 48 0.9× 54 1.9× 15 464
Matthew B. Laramie United States 8 1.1k 1.7× 935 1.6× 259 1.7× 144 2.8× 75 2.6× 12 1.2k
Isabel Cantera France 9 259 0.4× 229 0.4× 78 0.5× 26 0.5× 14 0.5× 16 332
Lori Lawson Handley United Kingdom 5 325 0.5× 242 0.4× 91 0.6× 89 1.7× 22 0.8× 8 432
Pierre‐Édouard Guérin France 8 213 0.3× 199 0.3× 72 0.5× 33 0.6× 37 1.3× 10 345

Countries citing papers authored by Jonas Bylemans

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Bylemans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Bylemans

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

All Works

17 of 17 papers shown
1.
Bylemans, Jonas, et al.. (2025). From anarchy to clarity, data pre‐processing and statistical choices influence quantitative environmental DNA ( eDNA ) analyses. Methods in Ecology and Evolution. 16(7). 1322–1333. 1 indexed citations
2.
Rimet, Frédéric, Benjamin Alric, Pedro Beja, et al.. (2025). Omics to Study and Manage Aquatic Environments: A Snapshot From the AquaEcOmics Meeting (Evian‐les‐Bains, 2025). Molecular Ecology. 34(17). e70041–e70041.
3.
Bylemans, Jonas, et al.. (2022). Sex-Specific Life History Affected by Stocking in Juvenile Brown Trout. Frontiers in Ecology and Evolution. 10. 2 indexed citations
4.
Riccioni, Giulia, Isabelle Domaizon, Andrea Gandolfi, et al.. (2022). Alpine freshwater fish biodiversity assessment: an inter-calibration test for metabarcoding method set up. Advances in Oceanography and Limnology. 13(1). 2 indexed citations
5.
Gleeson, Dianne, et al.. (2021). Improving the detection of rare native fish species in environmental DNA metabarcoding surveys. Aquatic Conservation Marine and Freshwater Ecosystems. 31(4). 990–997. 24 indexed citations
6.
Pearce, Luke, et al.. (2021). The value of quantitative environmental DNA analyses for the management of invasive and endangered native fish. Freshwater Biology. 66(8). 1619–1629. 10 indexed citations
7.
Bourgeois, Karen, Henri Weimerskirch, Sophie de Grissac, et al.. (2020). Behavioral and trophic segregations help the Tahiti petrel to cope with the abundance of wedge-tailed shearwater when foraging in oligotrophic tropical waters. Scientific Reports. 10(1). 15129–15129. 13 indexed citations
8.
Valsecchi, Elena, Jonas Bylemans, Simon J. Goodman, et al.. (2020). Novel universal primers for metabarcoding environmental DNA surveys of marine mammals and other marine vertebrates. Environmental DNA. 2(4). 460–476. 41 indexed citations
9.
Bylemans, Jonas, Dianne Gleeson, Richard P. Duncan, Christopher M. Hardy, & Elise M. Furlan. (2019). A performance evaluation of targeted eDNA and eDNA metabarcoding analyses for freshwater fishes. Environmental DNA. 1(4). 402–414. 94 indexed citations
10.
Unmack, Peter J., et al.. (2019). Perspectives on the clonal persistence of presumed ‘ghost’ genomes in unisexual or allopolyploid taxa arising via hybridization. Scientific Reports. 9(1). 4730–4730. 16 indexed citations
11.
Nichols, Susan J., Ben J. Kefford, Catriona D. Campbell, et al.. (2019). Towards routine DNA metabarcoding of macroinvertebrates using bulk samples for freshwater bioassessment: Effects of debris and storage conditions on the recovery of target taxa. Freshwater Biology. 65(4). 607–620. 13 indexed citations
12.
Bylemans, Jonas, Dianne Gleeson, Mark Lintermans, et al.. (2018). Monitoring riverine fish communities through eDNA metabarcoding: determining optimal sampling strategies along an altitudinal and biodiversity gradient. SHILAP Revista de lepidopterología. 2. 51 indexed citations
13.
Bylemans, Jonas, Elise M. Furlan, Dianne Gleeson, Christopher M. Hardy, & Richard P. Duncan. (2018). Does Size Matter? An Experimental Evaluation of the Relative Abundance and Decay Rates of Aquatic Environmental DNA. Environmental Science & Technology. 52(11). 6408–6416. 130 indexed citations
14.
15.
Bylemans, Jonas, Gregory E. Maes, Eveline Diopere, et al.. (2016). Evaluating genetic traceability methods for captive‑bred marine fish and their applications in fisheries management and wildlife forensics. Aquaculture Environment Interactions. 8. 131–145. 17 indexed citations
16.
Bylemans, Jonas, et al.. (2016). An environmental DNA‐based method for monitoring spawning activity: a case study, using the endangered Macquarie perch (Macquaria australasica). Methods in Ecology and Evolution. 8(5). 646–655. 132 indexed citations
17.
Bylemans, Jonas, et al.. (2016). Improving the containment of a freshwater invader using environmental DNA (eDNA) based monitoring. Biological Invasions. 18(10). 3081–3089. 43 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Cristina Di Muri Breakdown of academic impact, for papers by Cécilia Hernandez Breakdown of academic impact, for papers by Naiara Guimarães Sales Breakdown of academic impact, for papers by David Halfmaerten Breakdown of academic impact, for papers by Toshiaki Jo Breakdown of academic impact, for papers by Charles Baillie Breakdown of academic impact, for papers by Matthew B. Laramie Breakdown of academic impact, for papers by Isabel Cantera Breakdown of academic impact, for papers by Lori Lawson Handley Breakdown of academic impact, for papers by Pierre‐Édouard Guérin
Rankless by CCL
2026