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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:

Robustness, sensitivity and reproducibility of eDNA metabarcoding as an environmental biomonitoring tool in coastal salmon aquaculture – An inter-laboratory study
Verena Dully, Heinrich Balliet, Larissa Frühe, et al.
Ecological Indicators (2020) Vol. 121, pp. 107049-107049
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Machine learning applications in microbial ecology, human microbiome studies, and environmental monitoring
Ryan B. Ghannam, Stephen M. Techtmann
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 1092-1107
Open Access | Times Cited: 182
The invisible architects: microbial communities and their transformative role in soil health and global climate changes
Sajid Iqbal, Farida Begum, Benedictor Alexander Nguchu, et al.
Environmental Microbiome (2025) Vol. 20, Iss. 1
Open Access | Times Cited: 2
Planning and licensing for marine aquaculture
Lynne Falconer, Karl Cutajar, Amalia Grace Krupandan, et al.
Reviews in Aquaculture (2023) Vol. 15, Iss. 4, pp. 1374-1404
Open Access | Times Cited: 26
Evaluating eDNA for Use within Marine Environmental Impact Assessments
Shawn Hinz, Jennifer Coston‐Guarini, Michael J. Marnane, et al.
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 3, pp. 375-375
Open Access | Times Cited: 32
Environmental DNA-Based Methods in Biodiversity Monitoring of Protected Areas: Application Range, Limitations, and Needs
Kathrin Pascher, Vid Švara, Michael Jungmeier
Diversity (2022) Vol. 14, Iss. 6, pp. 463-463
Open Access | Times Cited: 31
Framing Cutting-Edge Integrative Deep-Sea Biodiversity Monitoring via Environmental DNA and Optoacoustic Augmented Infrastructures
Sérgio Stefanni, Luca Mirimin, David Stanković, et al.
Frontiers in Marine Science (2022) Vol. 8
Open Access | Times Cited: 25
Quantifying habitat provisioning at macroalgal cultivation sites
Sophie Corrigan, A. Ross Brown, Ian Ashton, et al.
Reviews in Aquaculture (2022) Vol. 14, Iss. 3, pp. 1671-1694
Open Access | Times Cited: 23
Environment and shipping drive environmental DNA beta‐diversity among commercial ports
José Á. Andrés, Paul Czechowski, Erin K. Grey, et al.
Molecular Ecology (2023) Vol. 32, Iss. 23, pp. 6696-6709
Open Access | Times Cited: 11
Global Trends of Benthic Bacterial Diversity and Community Composition Along Organic Enrichment Gradients of Salmon Farms
Larissa Frühe, Verena Dully, Dominik Forster, et al.
Frontiers in Microbiology (2021) Vol. 12
Open Access | Times Cited: 26
Edna2iqi: An Edna/Random Forest-Based Prediction Tool that Accurately Predicts Ecological Status for Regulatory-Compliance
Adam J. Wyness, Thorsten Stoeck, Barbara J. Morrissey, et al.
(2025)
Closed Access
An approach for quantifying the influence of fish farm waste on hard-bottom habitats
Nigel Keeley, Katherine M. Dunlop, Olivier Laroche, et al.
Marine Pollution Bulletin (2025) Vol. 217, pp. 118039-118039
Open Access
Evaluation of Oxford Nanopore Technologies MinION Sequencer as a Novel Short Amplicon Metabarcoding Tool Using Arthropod Mock Sample and Irish Bat Diet Characterisation
James Nolan, Ilze Skujina, Gwenaëlle Hurpy, et al.
Ecology and Evolution (2025) Vol. 15, Iss. 5
Open Access
Identifying the minimum amplicon sequence depth to adequately predict classes in eDNA-based marine biomonitoring using supervised machine learning
Verena Dully, Thomas A. Wilding, Timo Mühlhaus, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 2256-2268
Open Access | Times Cited: 17
Environmental monitoring tools and strategies in salmon net‐pen aquaculture
Jennifer Bell, Randy Mandel, Andrew S. Brainard, et al.
Integrated Environmental Assessment and Management (2022) Vol. 18, Iss. 4, pp. 950-963
Closed Access | Times Cited: 11
Comparing quantile regression spline analyses and supervised machine learning for environmental quality assessment at coastal marine aquaculture installations
Κλεοπάτρα Λεοντίδου, Verena Rubel, Thorsten Stoeck
PeerJ (2023) Vol. 11, pp. e15425-e15425
Open Access | Times Cited: 6
Comparing sediment preservation methods for genomic biomonitoring of coastal marine ecosystems
Verena Dully, Giulia Rech, Thomas A. Wilding, et al.
Marine Pollution Bulletin (2021) Vol. 173, pp. 113129-113129
Closed Access | Times Cited: 13
Evaluating the Reproducibility of Amplicon Sequencing Data Derived from Deep-Sea Cold Seep Sediment-Associated Microbiota
Jie Kong, Jing‐Chun Feng, Liwei Sun, et al.
Microbiology Spectrum (2023) Vol. 11, Iss. 3
Open Access | Times Cited: 5
Developing Indicators of Nutrient Pollution in Streams Using 16S rRNA Gene Metabarcoding of Periphyton-Associated Bacteria
Erik M. Pilgrim, Nathan J. Smucker, Huiyun Wu, et al.
Water (2022) Vol. 14, Iss. 15, pp. 2361-2361
Open Access | Times Cited: 8
Environmental DNA metabarcoding effectively monitors terrestrial species by using urban green spaces
Whee-Moon Kim, Hyunjung Lee, Wonkyong Song
Urban forestry & urban greening (2022) Vol. 78, pp. 127782-127782
Closed Access | Times Cited: 7
Exploring uncharted territory: new frontiers in environmental DNA for tropical fisheries management
Mukesh P. Bhendarkar, Naiara Rodríguez‐Ezpeleta
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 7
Closed Access | Times Cited: 1
Towards a Standardized Operating Procedure for eDNA‐Based Biomonitoring in Coastal Marine Salmon Aquaculture
Mahshid Oladi, Thomas A. Wilding, Adam J. Wyness, et al.
Environmental DNA (2024) Vol. 6, Iss. 5
Open Access | Times Cited: 1
16S and 18S rRNA Gene Metabarcoding Provide Congruent Information on the Responses of Sediment Communities to Eutrophication
Jesse P. Harrison, Panagiota‐Myrsini Chronopoulou, I. Salonen, et al.
Frontiers in Marine Science (2021) Vol. 8
Open Access | Times Cited: 8
Predicting environmental stressor levels with machine learning: a comparison between amplicon sequencing, metagenomics, and total RNA sequencing based on taxonomically assigned data
Christopher A. Hempel, Dominik Buchner, Leoni Mack, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 3
Benchmarking and Validation of a Bioinformatics Workflow for Meat Species Identification Using 16S rDNA Metabarcoding
Grégoire Denay, Laura Preckel, Henning Petersen, et al.
Foods (2023) Vol. 12, Iss. 5, pp. 968-968
Open Access | Times Cited: 2
Environmental DNA as a Tool for Better Understanding the Distribution, Abundance, And Health of Atlantic Salmon and Pacific Salmon
Andrew M. Ramey, Cherie M McKeeman, Eleni L. Petrou, et al.
Fisheries (2023) Vol. 49, Iss. 4, pp. 169-180
Open Access | Times Cited: 2
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