Marco Mazzara

1.1k total citations · 1 hit paper
22 papers, 721 citations indexed

About

Marco Mazzara is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Marco Mazzara has authored 22 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Marco Mazzara's work include Genetically Modified Organisms Research (18 papers), CRISPR and Genetic Engineering (11 papers) and Insect Resistance and Genetics (9 papers). Marco Mazzara is often cited by papers focused on Genetically Modified Organisms Research (18 papers), CRISPR and Genetic Engineering (11 papers) and Insect Resistance and Genetics (9 papers). Marco Mazzara collaborates with scholars based in Italy, Belgium and Germany. Marco Mazzara's co-authors include Gilbert Berben, Nancy H. C. Roosens, Dany Morisset, Sylvia Broeders, Ingrid Huber, Lutz Grohmann, Isabel Taverniers, Guy Van den Eede, Savini Cristian and Alex Patak and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Trends in Food Science & Technology and Analytical and Bioanalytical Chemistry.

In The Last Decade

Marco Mazzara

22 papers receiving 692 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Guidelines for validation of qualitative real-time PCR methods

2014 349 citations Sylvia Broeders, Ingrid Huber et al. Trends in Food Science & Technology profile →

Peers

Marco Mazzara

GENET

Sylvia Broeders Belgium

Dejan Štebih Slovenia

Maddalena Querci Italy

Hélène Chiapello France

Teresa Esteve Spain

Kai Yang China

C.D. Schoen Netherlands

Jae Young Choi South Korea

İkbal Agah İnce Türkiye

Carmen Palomino Spain

Sylvia Broeders Belgium

Marco Mazzara

585 ×1.1

437 ×1.2

92 ×0.9

GENET

78 ×1.0

70 ×1.0

Citations per year, relative to Marco Mazzara Marco Mazzara (= 1×) peers Sylvia Broeders

Countries citing papers authored by Marco Mazzara

Since Specialization

Citations

This map shows the geographic impact of Marco Mazzara's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marco Mazzara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Mazzara more than expected).

Fields of papers citing papers by Marco Mazzara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Mazzara. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marco Mazzara. The network helps show where Marco Mazzara may publish in the future.

Co-authorship network of co-authors of Marco Mazzara

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Mazzara. A scholar is included among the top collaborators of Marco Mazzara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marco Mazzara. Marco Mazzara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cristian, Savini, Sara Jacchia, Maria Grazia Sacco, et al.. (2022). Assessment of the Real-Time PCR Method Claiming to be Specific for Detection and Quantification of the First Commercialised Genome-Edited Plant. Food Analytical Methods. 15(8). 2107–2125. 8 indexed citations

Cristian, Savini, Maria Grazia Sacco, Gerhard Buttinger, et al.. (2022). Single and multi-laboratory validation of a droplet digital PCR method. Food Control. 140. 109117–109117. 9 indexed citations

Jacchia, Sara, Dafni Maria Kagkli, Antoon Lievens, et al.. (2018). Identification of single target taxon-specific reference assays for the most commonly genetically transformed crops using digital droplet PCR. Food Control. 93. 191–200. 17 indexed citations

Jacchia, Sara, Elena Nardini, Savini Cristian, et al.. (2015). Development, Optimization, and Single Laboratory Validation of an Event-Specific Real-Time PCR Method for the Detection and Quantification of Golden Rice 2 Using a Novel Taxon-Specific Assay. Journal of Agricultural and Food Chemistry. 63(6). 1711–1721. 10 indexed citations

Jacchia, Sara, Elena Nardini, Savini Cristian, et al.. (2015). International Ring Trial for the Validation of an Event-Specific Golden Rice 2 Quantitative Real-Time Polymerase Chain Reaction Method. Journal of Agricultural and Food Chemistry. 63(20). 4954–4965. 9 indexed citations

Broeders, Sylvia, Ingrid Huber, Lutz Grohmann, et al.. (2014). Guidelines for validation of qualitative real-time PCR methods. Trends in Food Science & Technology. 37(2). 115–126. 349 indexed citations breakdown →

Barbau-Piednoir, Elodie, Pieter Stragier, Nancy H. C. Roosens, et al.. (2014). Inter-laboratory Testing of GMO Detection by Combinatory SYBR®Green PCR Screening (CoSYPS). Food Analytical Methods. 16 indexed citations

Mazzara, Marco, Thomas P. Weber, Elisa Grazioli, et al.. (2012). Testing the Robustness of Validated Methods for Quantitative Detection of GMOs Across qPCR Instruments. Food Analytical Methods. 6(2). 343–360. 6 indexed citations

Mazzara, Marco, Claudia Paoletti, Philippe Corbisier, et al.. (2012). Kernel Lot Distribution Assessment (KeLDA): a Comparative Study of Protein and DNA-Based Detection Methods for GMO Testing. Food Analytical Methods. 6(1). 210–220. 14 indexed citations

10.

Mazzara, Marco, et al.. (2012). GMOMETHODS: The European Union Database of Reference Methods for GMO Analysis. Journal of AOAC International. 95(6). 1713–1719. 49 indexed citations

11.

Folloni, Silvia, Dafni Maria Kagkli, Alessia Bogni, et al.. (2012). Combinatory SYBR® Green Real-Time PCR Screening Approach for Tracing Materials Derived from Genetically Modified Rice. Food Analytical Methods. 6(2). 361–369. 11 indexed citations

12.

Bellocchi, Gianni, M. De Giacomo, Marco Mazzara, et al.. (2010). Testing the interaction between analytical modules: an example with Roundup Ready®soybean line GTS 40-3-2. BMC Biotechnology. 10(1). 55–55. 8 indexed citations

13.

Folloni, Silvia, et al.. (2009). Report on the Verification of the Performance of a Construct-Specific Assay for the Detection of Flax CDC Triffid Event FP967 Using Real-Time PCR. Joint Research Centre (European Commission). 6 indexed citations

14.

Lievens, Antoon, Gianni Bellocchi, William Moens, et al.. (2009). Use of pJANUS™-02-001 as a calibrator plasmid for Roundup Ready soybean event GTS-40-3-2 detection: an interlaboratory trial assessment. Analytical and Bioanalytical Chemistry. 396(6). 2165–2173. 20 indexed citations

15.

Jiang, Lingxi, Litao Yang, Jinchao Guo, et al.. (2009). International Collaborative Study of the Endogenous Reference Gene, Sucrose Phosphate Synthase (SPS), Used for Qualitative and Quantitative Analysis of Genetically Modified Rice. Journal of Agricultural and Food Chemistry. 57(9). 3525–3532. 41 indexed citations

16.

Mazzara, Marco, et al.. (2009). Event-specific Method for the Detection of Dried-killed Bacterial Biomass PT73 (TM) Derived from E. coli GM Strain AG3139 Using Real-time PCR. Joint Research Centre (European Commission). 1 indexed citations

17.

Žel, Jana, Marco Mazzara, Savini Cristian, et al.. (2008). Method Validation and Quality Management in the Flexible Scope of Accreditation: An Example of Laboratories Testing for Genetically Modified Organisms. Food Analytical Methods. 1(2). 61–72. 37 indexed citations

18.

Bellocchi, Gianni, Marco Acutis, Claudia Paoletti, et al.. (2008). Expanding Horizons in the Validation of GMO Analytical Methods: Fuzzy-based Expert Systems. Food Analytical Methods. 1(2). 126–135. 16 indexed citations

19.

Hamels, Sandrine, Marco Mazzara, Frédéric Debode, et al.. (2008). A PCR-microarray method for the screening of genetically modified organisms. European Food Research and Technology. 228(4). 531–541. 42 indexed citations

20.

Paoletti, Claudia, Andreas Heissenberger, Marco Mazzara, et al.. (2006). Kernel lot distribution assessment (KeLDA): a study on the distribution of GMO in large soybean shipments. European Food Research and Technology. 224(1). 129–139. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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