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Author

Zsuzsa Farkas

Observed name: Farkas, Zsuzsa
ORCID: 0000-0002-5566-431X
Observed ORCID: 0000-0002-5566-431X
OpenAlex ID: A5048298647
Detection of Aflatoxins in Different Matrices and Food-Chain Positions
2020 · Gabriella Miklós, Cserne Angeli, et al. · Frontiers in Microbiology · 110
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Occurrence of Aflatoxin M1 in Raw Milk Marketed in Italy: Exposure Assessment and Risk Characterization
2019 · Andrea Serraino, Paolo Bonilauri, et al. · Frontiers in Microbiology · 103
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Carry-Over of Aflatoxin B1 from Feed to Cow Milk—A Review
2023 · Andrea Zentai, Ákos Jóźwiak, et al. · Toxins · 99
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Pre-Harvest Modelling and Mitigation of Aflatoxins in Maize in a Changing Climatic Environment—A Review
2020 · Tamás Dövényi-Nagy, Csaba Rácz, et al. · Toxins · 78
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Pilot study in the view of a Pan‐European dietary survey – adolescents, adults and elderly
2013 · Árpád Ambrus, Zsuzsanna Horváth, et al. · EFSA Supporting Publications · 73
Magyarország nagylétszámú baromfitelepeinek járványvédelmi helyzete a Nébih Országos Járványvédelmi Központ és a Baromfi Termék Tanács Járványvédelmi Auditáló Rendszer adatai alapján a 2021–2022-es időszakban
2024 · Máté Farkas, László Könyves, et al. · Magyar Állatorvosok Lapja · 39
Emerging risk identification in the food chain – A systematic procedure and data analytical options
2023 · Zsuzsa Farkas, Erika Országh, et al. · Innovative Food Science & Emerging Technologies · 20
A Systematic Review of the Efficacy of Interventions to Control Aflatoxins in the Dairy Production Chain—Feed Production and Animal Feeding Interventions
2022 · Zsuzsa Farkas, Erika Országh, et al. · Toxins · 20
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Scoping Review of Factors Affecting Antimicrobial Use and the Spread of Antimicrobial Resistance in the Poultry Production Chain
2025 · Zsuzsa Farkas, Orsolya Strang, et al. · Veterinary Sciences · 17
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Probabilistic modeling and risk characterization of the chronic aflatoxin M1 exposure of Hungarian consumers
2022 · Zsuzsa Farkas, Kata Kerekes, et al. · Frontiers in Microbiology · 17
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Analysis of industry-generated data. Part 1: A baseline for the development of a tool to assist the milk industry in designing sampling plans for controlling aflatoxin M1in milk
2014 · Marcello Trevisani, Zsuzsa Farkas, et al. · Food Additives & Contaminants Part A · 16
Use of Combined Uncertainty of Pesticide Residue Results for Testing Compliance with Maximum Residue Limits (MRLs)
2015 · Zsuzsa Farkas, Andrew Slate, et al. · Journal of Agricultural and Food Chemistry · 15
Estimation of sampling uncertainty for pesticide residues in root vegetable crops
2013 · Zsuzsa Farkas, Zsuzsanna Horváth, et al. · Journal of Environmental Science and Health Part B · 14
Estimation of Sampling Uncertainty of Pesticide Residues Based on Supervised Residue Trial Data
2014 · Zsuzsa Farkas, Zsuzsanna Horváth, et al. · Journal of Agricultural and Food Chemistry · 12
An effective self-control strategy for the reduction of aflatoxin M1 content in milk and to decrease the exposure of consumers
2016 · Kata Kerekes, Paolo Bonilauri, et al. · Food Additives & Contaminants Part A · 11
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Limitations in the determination of maximum residue limits and highest residues of pesticides: Part I
2013 · Zsuzsanna Horváth, Judit Sali, et al. · Journal of Environmental Science and Health Part B · 11
Állatorvosi közegészségügyi és élelmiszerlánc-biztonsági adatok adatinfrastruktúra rendszerének megalapozása repozíciós platform kialakításával
2025 · Zsuzsa Farkas, Szilveszter Csorba, et al. · Magyar Állatorvosok Lapja · 9
Data-Driven Early Warning Approach for Antimicrobial Resistance Prediction–Anomaly Detection Based on High-Level Indicators
2025 · Szilveszter Csorba, Krisztián Vribék, et al. · Veterinary Sciences · 8
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Nature of the field-to-field distribution of pesticide residues
2014 · Árpád Ambrus, Zsuzsanna Horváth, et al. · Journal of Environmental Science and Health Part B · 7
Corrigendum: Detection of Aflatoxins in Different Matrices and Food-Chain Positions
2021 · Gabriella Miklós, Cserne Angeli, et al. · Frontiers in Microbiology · 5
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Estimation of Uncertainty of Measured Residues and Testing Compliance with MRLs
2017 · Zsuzsa Farkas, Jo Marie Cook, et al. · WORLD SCIENTIFIC (EUROPE) eBooks · 5
Determination and Metrics for Emerging Risks Identification DEMETER: Final Report
2020 · Nathan Meijer, Matthias Filter, et al. · EFSA Supporting Publications · 4
Analysis of industry-generated data. Part 2: Risk-based sampling plan for efficient self-control of aflatoxin M 1 contamination in raw milk
2014 · Zsuzsa Farkas, Marcello Trevisani, et al. · Food Additives & Contaminants Part A · 4
Antimicrobial use and Escherichia coli resistance patterns in Hungarian pig farms: a data-driven farm-level analysis
2026 · Krisztián Vribék, Máté Farkas, et al. · Scientific Reports · 3
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Internal dynamics of patent reference networks using the Bray–Curtis dissimilarity measure
2024 · József Baranyi, Szilveszter Csorba, et al. · Journal Of Big Data · 3
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Works count: 39
Citation count: 709
H-index: 13
I10-index: 16
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