Francesca Debegnach

1.5k total citations
38 papers, 1.1k citations indexed

About

Francesca Debegnach is a scholar working on Plant Science, Food Science and Cancer Research. According to data from OpenAlex, Francesca Debegnach has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 14 papers in Food Science and 8 papers in Cancer Research. Recurrent topics in Francesca Debegnach's work include Mycotoxins in Agriculture and Food (32 papers), Wheat and Barley Genetics and Pathology (12 papers) and Pesticide Residue Analysis and Safety (12 papers). Francesca Debegnach is often cited by papers focused on Mycotoxins in Agriculture and Food (32 papers), Wheat and Barley Genetics and Pathology (12 papers) and Pesticide Residue Analysis and Safety (12 papers). Francesca Debegnach collaborates with scholars based in Italy, United Kingdom and Qatar. Francesca Debegnach's co-authors include Carlo Brera, Barbara De Santis, Marina Miraglia, Emanuela Gregori, Valentina Minardi, M. Faïd, Sabrina Angelini, Abdellah Zinedine, G Moretti and Gabriele Moracci and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, International Journal of Environmental Research and Public Health and Food and Chemical Toxicology.

In The Last Decade

Francesca Debegnach

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesca Debegnach Italy 20 986 287 214 143 124 38 1.1k
Laura Escrivá Spain 13 695 0.7× 208 0.7× 103 0.5× 190 1.3× 111 0.9× 31 898
Irène Perrin Switzerland 9 599 0.6× 191 0.7× 72 0.3× 126 0.9× 80 0.6× 11 811
Theo de Rijk Netherlands 13 393 0.4× 223 0.8× 16 0.1× 105 0.7× 44 0.4× 19 747
Mary-Liis Kütt Estonia 12 229 0.2× 243 0.8× 27 0.1× 147 1.0× 30 0.2× 23 494
M.L. Ponsone Argentina 17 711 0.7× 252 0.9× 10 0.0× 91 0.6× 347 2.8× 25 798
V. A. Khan United States 16 891 0.9× 219 0.8× 13 0.1× 154 1.1× 243 2.0× 66 1.1k
Moustafa A. Abbassy Egypt 15 390 0.4× 145 0.5× 23 0.1× 168 1.2× 13 0.1× 43 644
Anne-Laure Boutigny France 14 860 0.9× 99 0.3× 10 0.0× 153 1.1× 608 4.9× 26 935
Yingjin Huang China 17 607 0.6× 79 0.3× 27 0.1× 364 2.5× 42 0.3× 50 862
B. Žlender Slovenia 19 61 0.1× 168 0.6× 50 0.2× 106 0.7× 77 0.6× 43 974

Countries citing papers authored by Francesca Debegnach

Since Specialization
Citations

This map shows the geographic impact of Francesca Debegnach'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 Francesca Debegnach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Debegnach more than expected).

Fields of papers citing papers by Francesca Debegnach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca Debegnach. 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 Francesca Debegnach. The network helps show where Francesca Debegnach may publish in the future.

Co-authorship network of co-authors of Francesca Debegnach

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Debegnach. A scholar is included among the top collaborators of Francesca Debegnach 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 Francesca Debegnach. Francesca Debegnach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Alvarez‐Erviti, Lydia, Barbara De Santis, María Izco, et al.. (2021). Biomonitoring of Mycotoxins in Plasma of Patients with Alzheimer’s and Parkinson’s Disease. Toxins. 13(7). 477–477. 15 indexed citations
3.
Vita, Valeria, et al.. (2021). ELISA and UPLC/FLD as Screening and Confirmatory Techniques for T-2/HT-2 Mycotoxin Determination in Cereals. Applied Sciences. 11(4). 1688–1688. 18 indexed citations
4.
Santis, Barbara De, et al.. (2020). Determination of ochratoxin A in pork meat products: single laboratory validation method and preparation of homogeneous batch materials. Mycotoxin Research. 36(2). 235–241. 4 indexed citations
5.
Debegnach, Francesca, et al.. (2020). Optimization and validation of a LC-HRMS method for aflatoxins determination in urine samples. Mycotoxin Research. 36(2). 257–266. 14 indexed citations
6.
Santis, Barbara De, Francesca Debegnach, G Moretti, et al.. (2019). Determination of Deoxynivalenol Biomarkers in Italian Urine Samples. Toxins. 11(8). 441–441. 26 indexed citations
7.
Debegnach, Francesca, et al.. (2019). Ergot Alkaloids in Wheat and Rye Derived Products in Italy. Foods. 8(5). 150–150. 25 indexed citations
8.
Papageorgiou, Maria, Kay White, Barbara De Santis, et al.. (2018). Assessment of Urinary Deoxynivalenol Biomarkers in UK Children and Adolescents. Toxins. 10(2). 50–50. 36 indexed citations
9.
Santis, Barbara De, Francesca Debegnach, Emanuela Gregori, et al.. (2017). Development of a LC-MS/MS Method for the Multi-Mycotoxin Determination in Composite Cereal-Based Samples. Toxins. 9(5). 169–169. 68 indexed citations
10.
Santis, Barbara De, Carlo Brera, Alessandra Mezzelani, et al.. (2017). Role of mycotoxins in the pathobiology of autism: A first evidence. Nutritional Neuroscience. 22(2). 132–144. 49 indexed citations
11.
Hardie, Laura J., Kay White, Yunru Liu, et al.. (2016). Determination of Deoxynivalenol in the Urine of Pregnant Women in the UK. Toxins. 8(11). 306–306. 21 indexed citations
12.
Giacomo, M. De, et al.. (2016). Carry-over of DNA from genetically modified soyabean and maize to cow’s milk. Journal of Animal and Feed Sciences. 25(2). 109–115. 5 indexed citations
13.
Brera, Carlo, Barbara De Santis, Francesca Debegnach, et al.. (2015). Experimental study of deoxynivalenol biomarkers in urine. EFSA Supporting Publications. 12(6). 42 indexed citations
14.
Brera, Carlo, et al.. (2014). Exposure assessment to mycotoxins in gluten-free diet for celiac patients. Food and Chemical Toxicology. 69. 13–17. 20 indexed citations
15.
Brera, Carlo, et al.. (2011). Ochratoxin A in cocoa and chocolate products from the Italian market: Occurrence and exposure assessment. Food Control. 22(10). 1663–1667. 46 indexed citations
16.
Boon, Polly, Kettil Svensson, Hilko van der Voet, et al.. (2009). Probabilistic acute dietary exposure assessments to captan and tolylfluanid using several European food consumption and pesticide concentration databases. Food and Chemical Toxicology. 47(12). 2890–2898. 14 indexed citations
17.
Boon, Polly, et al.. (2009). Harmonisation of food consumption data format for dietary exposure assessments of chemicals analysed in raw agricultural commodities. Food and Chemical Toxicology. 47(12). 2883–2889. 24 indexed citations
18.
Brera, Carlo, et al.. (2008). Ochratoxin A Contamination in Italian Wine Samples and Evaluation of the Exposure in the Italian Population. Journal of Agricultural and Food Chemistry. 56(22). 10611–10618. 38 indexed citations
19.
Brera, Carlo, et al.. (2006). Effect of Industrial Processing on the Distribution of Aflatoxins and Zearalenone in Corn-Milling Fractions. Journal of Agricultural and Food Chemistry. 54(14). 5014–5019. 54 indexed citations
20.
Brera, Carlo, et al.. (2004). Effect of Industrial Processing on the Distribution of Fumonisin B1 in Dry Milling Corn Fractions. Journal of Food Protection. 67(6). 1261–1266. 58 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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