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:

PipeCraft: Flexible open‐source toolkit for bioinformatics analysis of custom high‐throughput amplicon sequencing data
Sten Anslan, Mohammad Bahram, Indrek Hiiesalu, et al.
Molecular Ecology Resources (2017) Vol. 17, Iss. 6
Closed Access | Times Cited: 170

Showing 1-25 of 170 citing articles:

Environmental DNA
Pierre Taberlet, Aurélie Bonin, Lucie Zinger, et al.
Oxford University Press eBooks (2018)
Closed Access | Times Cited: 792

Mycobiome diversity: high-throughput sequencing and identification of fungi
R. Henrik Nilsson, Sten Anslan, Mohammad Bahram, et al.
Nature Reviews Microbiology (2018) Vol. 17, Iss. 2, pp. 95-109
Closed Access | Times Cited: 746

Unambiguous identification of fungi: where do we stand and how accurate and precise is fungal DNA barcoding?
Robert Lücking, M. Catherine Aime, Barbara Robbertse, et al.
IMA Fungus (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 401

Global soil microbiomes: A new frontline of biome‐ecology research
Martti Vasar, John Davison, Siim‐Kaarel Sepp, et al.
Global Ecology and Biogeography (2022) Vol. 31, Iss. 6, pp. 1120-1132
Closed Access | Times Cited: 380

PacBio metabarcoding of Fungi and other eukaryotes: errors, biases and perspectives
Leho Tedersoo, Ave Tooming‐Klunderud, Sten Anslan
New Phytologist (2017) Vol. 217, Iss. 3, pp. 1370-1385
Open Access | Times Cited: 273

SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
Tomáš Větrovský, Petr Baldrián, Daniel Morais
Bioinformatics (2018) Vol. 34, Iss. 13, pp. 2292-2294
Open Access | Times Cited: 259

Best practices in metabarcoding of fungi: From experimental design to results
Leho Tedersoo, Mohammad Bahram, Lucie Zinger, et al.
Molecular Ecology (2022) Vol. 31, Iss. 10, pp. 2769-2795
Open Access | Times Cited: 191

Regional-Scale In-Depth Analysis of Soil Fungal Diversity Reveals Strong pH and Plant Species Effects in Northern Europe
Leho Tedersoo, Sten Anslan, Mohammad Bahram, et al.
Frontiers in Microbiology (2020) Vol. 11
Open Access | Times Cited: 182

Plant nutrient‐acquisition strategies drive topsoil microbiome structure and function
Mohammad Bahram, Tarquin Netherway, Falk Hildebrand, et al.
New Phytologist (2020) Vol. 227, Iss. 4, pp. 1189-1199
Open Access | Times Cited: 148

Structure and function of the soil microbiome underlying N2O emissions from global wetlands
Mohammad Bahram, Mikk Espenberg, Jaan Pärn, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 146

The selective salinity and hydrazine parameters for the start-up of non-anammox-specific biomass SBR
I. Zekker, Ergo Rikmann, Jane Oja, et al.
International Journal of Environmental Science and Technology (2023) Vol. 20, Iss. 11, pp. 12597-12610
Closed Access | Times Cited: 51

A pile of pipelines: An overview of the bioinformatics software for metabarcoding data analyses
Ali Hakimzadeh, Alejandro Abdala Asbun, Davide Albanese, et al.
Molecular Ecology Resources (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 46

Newly designed 16S rRNA metabarcoding primers amplify diverse and novel archaeal taxa from the environment
Mohammad Bahram, Sten Anslan, Falk Hildebrand, et al.
Environmental Microbiology Reports (2018) Vol. 11, Iss. 4, pp. 487-494
Open Access | Times Cited: 125

Advantages and Limitations of Environmental DNA/RNA Tools for Marine Biosecurity: Management and Surveillance of Non-indigenous Species
Anastasija Zaiko, Xavier Pochon, Eva García‐Vázquez, et al.
Frontiers in Marine Science (2018) Vol. 5
Open Access | Times Cited: 124

High‐throughput identification and diagnostics of pathogens and pests: Overview and practical recommendations
Leho Tedersoo, Rein Drenkhan, Sten Anslan, et al.
Molecular Ecology Resources (2018) Vol. 19, Iss. 1, pp. 47-76
Open Access | Times Cited: 116

iTaxoTools 0.1: Kickstarting a specimen-based software toolkit for taxonomists
Miguel Vences, Aurélien Miralles, Sophie Brouillet, et al.
Megataxa (2021) Vol. 6, Iss. 2
Open Access | Times Cited: 98

Towards PacBio‐based pan‐eukaryote metabarcoding using full‐length ITS sequences
Leho Tedersoo, Sten Anslan
Environmental Microbiology Reports (2019) Vol. 11, Iss. 5, pp. 659-668
Open Access | Times Cited: 86

Identifying the ‘unidentified’ fungi: a global-scale long-read third-generation sequencing approach
Leho Tedersoo, Sten Anslan, Mohammad Bahram, et al.
Fungal Diversity (2020) Vol. 103, Iss. 1, pp. 273-293
Closed Access | Times Cited: 74

DNA Metabarcoding for the Characterization of Terrestrial Microbiota—Pitfalls and Solutions
Davide Francioli, Guillaume Lentendu, Simon Lewin, et al.
Microorganisms (2021) Vol. 9, Iss. 2, pp. 361-361
Open Access | Times Cited: 69

LotuS2: an ultrafast and highly accurate tool for amplicon sequencing analysis
Ezgi Özkurt, Joachim Fritscher, Nicola Soranzo, et al.
Microbiome (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 64

Freshwater fungal biology
Mark S. Calabon, KD Hyde, Ebg Jones, et al.
Mycosphere (2023) Vol. 14, Iss. 1, pp. 195-413
Open Access | Times Cited: 30

Litter species richness and composition effects on fungal richness and community structure in decomposing foliar and root litter
Eveli Otsing, Sandra Barantal, Sten Anslan, et al.
Soil Biology and Biochemistry (2018) Vol. 125, pp. 328-339
Closed Access | Times Cited: 78

Great differences in performance and outcome of high-throughput sequencing data analysis platforms for fungal metabarcoding
Sten Anslan, R. Henrik Nilsson, Christian Wurzbacher, et al.
MycoKeys (2018) Vol. 39, pp. 29-40
Open Access | Times Cited: 62

High-throughput sequencing (HTS) for the analysis of viral populations
Marcos Pérez‐Losada, Miguel Arenas, Juan Carlos Galán, et al.
Infection Genetics and Evolution (2020) Vol. 80, pp. 104208-104208
Closed Access | Times Cited: 56

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