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:

Taxonomy‐free molecular diatom index for high‐throughput eDNA biomonitoring
Laure Apothéloz‐Perret‐Gentil, Arielle Cordonier, François Straub, et al.
Molecular Ecology Resources (2017) Vol. 17, Iss. 6, pp. 1231-1242
Closed Access | Times Cited: 161

Showing 1-25 of 161 citing articles:

The future of biotic indices in the ecogenomic era: Integrating (e)DNA metabarcoding in biological assessment of aquatic ecosystems
Jan Pawłowski, Mary Kelly‐Quinn, Florian Altermatt, et al.
The Science of The Total Environment (2018) Vol. 637-638, pp. 1295-1310
Open Access | Times Cited: 476

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

Environmental DNA Time Series in Ecology
Miklós Bálint, Markus Pfenninger, Hans‐Peter Grossart, et al.
Trends in Ecology & Evolution (2018) Vol. 33, Iss. 12, pp. 945-957
Closed Access | Times Cited: 211

Assessing ecological status with diatoms DNA metabarcoding: Scaling-up on a WFD monitoring network (Mayotte island, France)
Valentin Vasselon, Frédéric Rimet, Kálmán Tapolczai, et al.
Ecological Indicators (2017) Vol. 82, pp. 1-12
Closed Access | Times Cited: 181

Predicting the Ecological Quality Status of Marine Environments from eDNA Metabarcoding Data Using Supervised Machine Learning
Tristan Cordier, Philippe Esling, Franck Lejzerowicz, et al.
Environmental Science & Technology (2017) Vol. 51, Iss. 16, pp. 9118-9126
Closed Access | Times Cited: 181

Expanding ecological assessment by integrating microorganisms into routine freshwater biomonitoring
Markéta Ságová‐Marečková, Jens Boenigk, Agnès Bouchez, et al.
Water Research (2020) Vol. 191, pp. 116767-116767
Open Access | Times Cited: 173

Meta‐analysis shows both congruence and complementarity of DNA and eDNA metabarcoding to traditional methods for biological community assessment
François Keck, Rosetta C. Blackman, Raphaël Bossart, et al.
Molecular Ecology (2022) Vol. 31, Iss. 6, pp. 1820-1835
Open Access | Times Cited: 152

A practical guide to DNA-based methods for biodiversity assessment
Kat Bruce, Rosetta C. Blackman, Sarah J. Bourlat, et al.
Pensoft Publishers eBooks (2021)
Open Access | Times Cited: 130

Environmental DNA: The next chapter
Rosetta C. Blackman, Marjorie Couton, François Keck, et al.
Molecular Ecology (2024) Vol. 33, Iss. 11
Open Access | Times Cited: 27

TICI: a taxon-independent community index for eDNA-based ecological health assessment
Shaun Wilkinson, Amy A. Gault, Susan A. Welsh, et al.
PeerJ (2024) Vol. 12, pp. e16963-e16963
Open Access | Times Cited: 21

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

Embracing Environmental Genomics and Machine Learning for Routine Biomonitoring
Tristan Cordier, Anders Lanzén, Laure Apothéloz‐Perret‐Gentil, et al.
Trends in Microbiology (2018) Vol. 27, Iss. 5, pp. 387-397
Closed Access | Times Cited: 160

Omics Advances in Ecotoxicology
Xiaowei Zhang, Pu Xia, Pingping Wang, et al.
Environmental Science & Technology (2018) Vol. 52, Iss. 7, pp. 3842-3851
Open Access | Times Cited: 159

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

Supervised machine learning outperforms taxonomy‐based environmental DNA metabarcoding applied to biomonitoring
Tristan Cordier, Dominik Forster, Yoann Dufresne, et al.
Molecular Ecology Resources (2018) Vol. 18, Iss. 6, pp. 1381-1391
Closed Access | Times Cited: 140

Avoiding quantification bias in metabarcoding: Application of a cell biovolume correction factor in diatom molecular biomonitoring
Valentin Vasselon, Agnès Bouchez, Frédéric Rimet, et al.
Methods in Ecology and Evolution (2017) Vol. 9, Iss. 4, pp. 1060-1069
Open Access | Times Cited: 130

A review on the applications and recent advances in environmental DNA (eDNA) metagenomics
Deviram Garlapati, B. Charankumar, Karri Ramu, et al.
Reviews in Environmental Science and Bio/Technology (2019) Vol. 18, Iss. 3, pp. 389-411
Closed Access | Times Cited: 130

Application of Environmental DNA Metabarcoding for Predicting Anthropogenic Pollution in Rivers
Feilong Li, Ying Peng, Wendi Fang, et al.
Environmental Science & Technology (2018)
Open Access | Times Cited: 126

Comparison of environmental DNA and bulk‐sample metabarcoding using highly degenerate cytochrome c oxidase I primers
Jan‐Niklas Macher, Aurélien Vivancos, Jeremy J. Piggott, et al.
Molecular Ecology Resources (2018) Vol. 18, Iss. 6, pp. 1456-1468
Closed Access | Times Cited: 123

A cross-taxa study using environmental DNA/RNA metabarcoding to measure biological impacts of offshore oil and gas drilling and production operations
Olivier Laroche, Susanna A. Wood, Louis A. Tremblay, et al.
Marine Pollution Bulletin (2017) Vol. 127, pp. 97-107
Closed Access | Times Cited: 105

Strategies for sample labelling and library preparation in DNA metabarcoding studies
Kristine Bohmann, Vasco Elbrecht, Christian Carøe, et al.
Molecular Ecology Resources (2021) Vol. 22, Iss. 4, pp. 1231-1246
Open Access | Times Cited: 103

Uncovering the complete biodiversity structure in spatial networks: the example of riverine systems
Florian Altermatt, Chelsea J. Little, Elvira Mächler, et al.
Oikos (2020) Vol. 129, Iss. 5, pp. 607-618
Open Access | Times Cited: 97

Metabarcoding of lake benthic diatoms: from structure assemblages to ecological assessment
Sinziana F. Rivera, Valentin Vasselon, Stéphan Jacquet, et al.
Hydrobiologia (2017) Vol. 807, Iss. 1, pp. 37-51
Closed Access | Times Cited: 95

Environmental DNA metabarcoding of benthic bacterial communities indicates the benthic footprint of salmon aquaculture
Thorsten Stoeck, Larissa Frühe, Dominik Forster, et al.
Marine Pollution Bulletin (2017) Vol. 127, pp. 139-149
Open Access | Times Cited: 89

Supervised machine learning is superior to indicator value inference in monitoring the environmental impacts of salmon aquaculture using eDNA metabarcodes
Larissa Frühe, Tristan Cordier, Verena Dully, et al.
Molecular Ecology (2020) Vol. 30, Iss. 13, pp. 2988-3006
Closed Access | Times Cited: 85

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