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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Estimating and mitigating amplification bias in qualitative and quantitative arthropod metabarcoding
Henrik Krehenwinkel, Madeline Wolf, Jun Ying Lim, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 274

Showing 1-25 of 274 citing articles:

An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar
Nathan D. Grubaugh, Karthik Gangavarapu, Joshua Quick, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 940
Counting with DNA in metabarcoding studies: How should we convert sequence reads to dietary data?
Bruce E. Deagle, Austen C. Thomas, Julie C. McInnes, et al.
Molecular Ecology (2018) Vol. 28, Iss. 2, pp. 391-406
Open Access | Times Cited: 590
Consistent and correctable bias in metagenomic sequencing experiments
Michael R. McLaren, Amy D. Willis, Benjamin J. Callahan
eLife (2019) Vol. 8
Open Access | Times Cited: 381
Deep learning and computer vision will transform entomology
Toke T. Høye, Johanna Ärje, Kim Bjerge, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 2
Open Access | Times Cited: 333
Validation of COI metabarcoding primers for terrestrial arthropods
Vasco Elbrecht, Thomas Braukmann, Natalya Ivanova, et al.
PeerJ (2019) Vol. 7, pp. e7745-e7745
Open Access | Times Cited: 248
The choice of universal primers and the characteristics of the species mixture determine when DNA metabarcoding can be quantitative
Josep Piñol, Miquel A. Senar, William O. C. Symondson
Molecular Ecology (2018) Vol. 28, Iss. 2, pp. 407-419
Open Access | Times Cited: 236
Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance
Alexander M. Piper, Jana Batovska, Noel O. I. Cogan, et al.
GigaScience (2019) Vol. 8, Iss. 8
Open Access | Times Cited: 220
Minimizing polymerase biases in metabarcoding
Ruth V. Nichols, Christopher Vollmers, Lee A. Newsom, et al.
Molecular Ecology Resources (2018) Vol. 18, Iss. 5, pp. 927-939
Open Access | Times Cited: 217
Ecosystems monitoring powered by environmental genomics: A review of current strategies with an implementation roadmap
Tristan Cordier, Laura Alonso‐Sáez, Laure Apothéloz‐Perret‐Gentil, et al.
Molecular Ecology (2020) Vol. 30, Iss. 13, pp. 2937-2958
Open Access | Times Cited: 217
Why the COI barcode should be the community DNA metabarcode for the metazoa
Carmelo Andújar, Paula Arribas, Douglas W. Yu, et al.
Molecular Ecology (2018) Vol. 27, Iss. 20, pp. 3968-3975
Open Access | Times Cited: 183
Nanopore sequencing of long ribosomal DNA amplicons enables portable and simple biodiversity assessments with high phylogenetic resolution across broad taxonomic scale
Henrik Krehenwinkel, Aaron Pomerantz, James Henderson, et al.
GigaScience (2019) Vol. 8, Iss. 5
Open Access | Times Cited: 153
Biases in bulk: DNA metabarcoding of marine communities and the methodology involved
Luna M. van der Loos, Reindert Nijland
Molecular Ecology (2020) Vol. 30, Iss. 13, pp. 3270-3288
Open Access | Times Cited: 153
Identifying biases and their potential solutions in human microbiome studies
Jacob T. Nearing, A. Comeau, Morgan G. I. Langille
Microbiome (2021) Vol. 9, Iss. 1
Open Access | Times Cited: 143
The potential of metabarcoding plant components of Malaise trap samples to enhance knowledge of plant-insect interactions
Stephanie J. Swenson, Lisa Eichler, Thomas Hörren, et al.
Metabarcoding and Metagenomics (2022) Vol. 6
Open Access | Times Cited: 109
Toward quantitative metabarcoding
Andrew O. Shelton, Zachary Gold, Alexander J. Jensen, et al.
Ecology (2022) Vol. 104, Iss. 2
Open Access | Times Cited: 97
Future of DNA-based insect monitoring
Physilia Chua, Sarah J. Bourlat, Cameron Ferguson, et al.
Trends in Genetics (2023) Vol. 39, Iss. 7, pp. 531-544
Closed Access | Times Cited: 56
Proficiency testing and cross-laboratory method comparison to support standardisation of diatom DNA metabarcoding for freshwater biomonitoring
Valentin Vasselon, Sinziana F. Rivera, Éva Ács, et al.
Metabarcoding and Metagenomics (2025) Vol. 9
Open Access | Times Cited: 2
Why We Need Sustainable Networks Bridging Countries, Disciplines, Cultures and Generations for Aquatic Biomonitoring 2.0: A Perspective Derived From the DNAqua-Net COST Action
Florian Leese, Agnès Bouchez, Kessy Abarenkov, et al.
Advances in ecological research/Advances in Ecological Research (2018), pp. 63-99
Open Access | Times Cited: 152
A practical guide to DNA metabarcoding for entomological ecologists
Mingxin Liu, Laurence J. Clarke, Susan C. Baker, et al.
Ecological Entomology (2019) Vol. 45, Iss. 3, pp. 373-385
Open Access | Times Cited: 143
Quantitative and qualitative assessment of pollen DNA metabarcoding using constructed species mixtures
Karen L. Bell, Kevin S. Burgess, Jamieson C. Botsch, et al.
Molecular Ecology (2018) Vol. 28, Iss. 2, pp. 431-455
Open Access | Times Cited: 139
Global Island Monitoring Scheme (GIMS): a proposal for the long-term coordinated survey and monitoring of native island forest biota
Paulo A. V. Borges, Pedro Cardoso, Holger Kreft, et al.
Biodiversity and Conservation (2018) Vol. 27, Iss. 10, pp. 2567-2586
Open Access | Times Cited: 113
Scaling up DNA metabarcoding for freshwater macrozoobenthos monitoring
Vasco Elbrecht, Dirk Steinke
Freshwater Biology (2018) Vol. 64, Iss. 2, pp. 380-387
Closed Access | Times Cited: 112
“Pitfalls in relative abundance estimation using eDNA metabarcoding”
Vera G. Fonseca
Molecular Ecology Resources (2018) Vol. 18, Iss. 5, pp. 923-926
Open Access | Times Cited: 103
Advancing DNA Barcoding and Metabarcoding Applications for Plants Requires Systematic Analysis of Herbarium Collections—An Australian Perspective
Eleanor E. Dormontt, Kor‐jent van Dijk, Karen L. Bell, et al.
Frontiers in Ecology and Evolution (2018) Vol. 6
Open Access | Times Cited: 99
Establishing arthropod community composition using metabarcoding: Surprising inconsistencies between soil samples and preservative ethanol and homogenate from Malaise trap catches
Daniel Marquina, Rodrigo Esparza‐Salas, Tomas Roslin, et al.
Molecular Ecology Resources (2019) Vol. 19, Iss. 6, pp. 1516-1530
Open Access | Times Cited: 97
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