Francesca Riolo

1.3k total citations
8 papers, 38 citations indexed

About

Francesca Riolo is a scholar working on Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Food Science. According to data from OpenAlex, Francesca Riolo has authored 8 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cardiology and Cardiovascular Medicine, 2 papers in Health, Toxicology and Mutagenesis and 2 papers in Food Science. Recurrent topics in Francesca Riolo's work include Pesticide Residue Analysis and Safety (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and Hymenoptera taxonomy and phylogeny (1 paper). Francesca Riolo is often cited by papers focused on Pesticide Residue Analysis and Safety (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and Hymenoptera taxonomy and phylogeny (1 paper). Francesca Riolo collaborates with scholars based in Italy, Netherlands and Austria. Francesca Riolo's co-authors include Gianni Gilioli, Sara Pasquali, Sara Tramontini, Salvatore Novo, António Pinto, Giuseppe Avellone, Anna Christodoulidou, Giovanni Davı̀, Davide Arcella and Paula Medina Pastor and has published in prestigious journals such as Ecological Modelling, Advances in experimental medicine and biology and Toxicology Letters.

In The Last Decade

Francesca Riolo

6 papers receiving 36 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesca Riolo Italy	3	21	15	15	6	6	8	38
Andrés Duhour Argentina	3	13 0.6×	11 0.7×	7 0.5×		8 1.3×	6	32
Leo Wu United States	2	7 0.3×	15 1.0×	8 0.5×	8 1.3×	6 1.0×	2	49
F. Muir	1	22 1.0×	12 0.8×	5 0.3×		4 0.7×	2	29
George Thomson United Kingdom	4	14 0.7×	17 1.1×	6 0.4×		10 1.7×	25	102
C. Avon France	2	9 0.4×	15 1.0×	16 1.1×		5 0.8×	2	37
Riaan Stals South Africa	3	21 1.0×	20 1.3×	41 2.7×		24 4.0×	8	60
И. В. Зенкова Russia	4	9 0.4×	7 0.5×	6 0.4×		7 1.2×	13	25
Charles T. Brues United States	3	24 1.1×	5 0.3×	13 0.9×		7 1.2×	6	35
Ke Cao China	3	19 0.9×	16 1.1×	7 0.5×		7 1.2×	6	36
Wallace Craig	2	9 0.4×	5 0.3×	18 1.2×		14 2.3×	2	28

Countries citing papers authored by Francesca Riolo

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Riolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Riolo

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

All Works

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8 of 8 papers shown

1.

Christodoulidou, Anna, Francesca Riolo, & Bettina Grasl‐Kraupp. (2023). P25-03: Risk assessment of N-nitrosamines in food. Toxicology Letters. 384. S289–S289.

2.

Arcella, Davide, Claudia Cascio, Bruno Dujardin, et al.. (2021). Technical report on handling occurrence data for dietary exposure assessments. EFSA Supporting Publications. 18(12). 3 indexed citations

3.

Boelaert, Frank, et al.. (2018). Guidelines for reporting 2017 prevalence sample‐based data in accordance with SSD2 data model. EFSA Supporting Publications. 15(3).

4.

Gilioli, Gianni, Sara Pasquali, Sara Tramontini, & Francesca Riolo. (2013). Modelling local and long-distance dispersal of invasive chestnut gall wasp in Europe. Ecological Modelling. 263. 281–290. 29 indexed citations

5.

Boelaert, Frank, et al.. (2011). EU-wide baseline survey on the prevalence of Salmonella in holdings with breeding pigs, 2008 - prevalence and factors associated with Salmonella positivity. International Conference on the Epidemiology and Control of Biological, Chemical and Physical Hazards in Pigs and Pork. 122–125. 1 indexed citations

6.

Avellone, Giuseppe, Vincenzo Mandalà, Salvatore Novo, et al.. (1984). Factor VIII and Antithrombin III in Atherosclerosis Obliterans of the Lower Limbs. Advances in experimental medicine and biology. 164. 65–80. 2 indexed citations

7.

Riolo, Francesca, Giovanni Davı̀, Salvatore Novo, et al.. (1984). Platelet Activity and Blood Lipid Changes in Diabetes Mellitus. Advances in experimental medicine and biology. 164. 111–117. 2 indexed citations

8.

Avellone, Giuseppe, et al.. (1981). [Behavior of serum lipids, blood coagulation factors, platelet aggregation, complement and serum immunoglobulins in a group of arteriosclerotic, hyperlipemic subjects treated with 3GS].. PubMed. 96(3). 303–24. 1 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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