Emanuela Testai

8.5k total citations · 1 hit paper
170 papers, 4.5k citations indexed

About

Emanuela Testai is a scholar working on Pharmacology, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Emanuela Testai has authored 170 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Pharmacology, 36 papers in Health, Toxicology and Mutagenesis and 29 papers in Molecular Biology. Recurrent topics in Emanuela Testai's work include Pharmacogenetics and Drug Metabolism (38 papers), Pesticide Exposure and Toxicity (27 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (18 papers). Emanuela Testai is often cited by papers focused on Pharmacogenetics and Drug Metabolism (38 papers), Pesticide Exposure and Toxicity (27 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (18 papers). Emanuela Testai collaborates with scholars based in Italy, Germany and France. Emanuela Testai's co-authors include Enzo Funari, Franca M. Buratti, Susanna Vichi, Luciano Vittozzi, Simona Scardala, Maura Manganelli, Simonetta Gemma, Emma Di Consiglio, Mara Stefanelli and Annarita Meneguz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Biochemical and Biophysical Research Communications.

In The Last Decade

Emanuela Testai

162 papers receiving 4.4k citations

Hit Papers

Cyanotoxins: producing organisms, occurrence, toxicity, m... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emanuela Testai Italy 35 1.4k 1.2k 690 631 589 170 4.5k
L.A.P. Hoogenboom Netherlands 42 824 0.6× 2.6k 2.1× 517 0.7× 101 0.2× 909 1.5× 199 5.4k
Luděk Bláha Czechia 46 2.2k 1.6× 3.3k 2.7× 374 0.5× 906 1.4× 945 1.6× 225 8.0k
Pio Colepicolo Brazil 38 786 0.6× 1.1k 0.9× 810 1.2× 1.3k 2.1× 1.4k 2.3× 202 6.3k
Daniel R. Dietrich Germany 55 3.9k 2.8× 1.8k 1.5× 968 1.4× 2.3k 3.6× 1.2k 2.1× 180 8.7k
Ernani Pinto Brazil 37 1.5k 1.1× 950 0.8× 666 1.0× 1.2k 1.9× 1.1k 1.9× 167 5.8k
Klára Hilscherová Czechia 45 1.1k 0.8× 3.6k 3.0× 259 0.4× 365 0.6× 764 1.3× 175 6.1k
Lihong Xu China 34 530 0.4× 672 0.6× 272 0.4× 190 0.3× 1.1k 1.9× 157 3.4k
Dennis P. H. Hsieh United States 33 419 0.3× 674 0.6× 978 1.4× 229 0.4× 732 1.2× 102 2.8k
Willem Seinen Netherlands 44 492 0.4× 3.6k 3.0× 589 0.9× 147 0.2× 644 1.1× 213 6.8k
Gerald A. LeBlanc United States 54 635 0.5× 4.1k 3.4× 299 0.4× 111 0.2× 895 1.5× 158 7.3k

Countries citing papers authored by Emanuela Testai

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Testai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Testai

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuela Testai. A scholar is included among the top collaborators of Emanuela Testai 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 Emanuela Testai. Emanuela Testai 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
3.
Benfenati, Emilio, Franca M. Buratti, Chiara Dall’Asta, et al.. (2024). Generic kinetic and kinetic‐dynamic modelling in human subgroups of the population and animal species to support transparency in food and feed safety: Case studies. EFSA Supporting Publications. 21(12). 1 indexed citations
4.
Kožíšek, František, Ingrid Chorus, Emanuela Testai, et al.. (2024). Incorporating taste and odour problems in water safety plans. Journal of Water and Health. 22(10). 1857–1873. 1 indexed citations
5.
Pelkonen, Olavi, Khaled Abass, Juan Manuel Parra Morte, et al.. (2023). Metabolites in the regulatory risk assessment of pesticides in the EU. SHILAP Revista de lepidopterología. 5. 1304885–1304885. 5 indexed citations
7.
Algharably, Engi, Emma Di Consiglio, Emanuela Testai, Reinhold Kreutz, & Ursula Gundert‐Remy. (2021). Prediction of the dose range for adverse neurological effects of amiodarone in patients from an in vitro toxicity test by in vitro–in vivo extrapolation. Archives of Toxicology. 95(4). 1433–1442. 8 indexed citations
8.
Dogliotti, Eugenia, Eleonora Beccaloni, Pietro Comba, et al.. (2019). Guidelines for health impact assessment (Italian Legislative Decree n. 104/2017).. 2 indexed citations
10.
Gouliarmou, Varvara, Alfonso M. Lostia, Sandra Coecke, et al.. (2018). Establishing a systematic framework to characterise in vitro methods for human hepatic metabolic clearance. Toxicology in Vitro. 53. 233–244. 24 indexed citations
11.
Consiglio, Emma Di, et al.. (2015). How to improve the predictivity of in vitro tests to assess the effects of chemical substances: the European Project Predict-IV.. 28(10). 3–8. 2 indexed citations
12.
Zurich, Marie‐Gabrielle, et al.. (2015). Amiodarone biokinetics, the formation of its major oxidative metabolite and neurotoxicity after acute and repeated exposure of brain cell cultures. Toxicology in Vitro. 30(1). 192–202. 22 indexed citations
13.
Bellwon, Patricia, Maxime Culot, Anja Wilmes, et al.. (2015). Cyclosporine A kinetics in brain cell cultures and its potential of crossing the blood–brain barrier. Toxicology in Vitro. 30(1). 166–175. 19 indexed citations
14.
Consiglio, Emma Di, C. Parmentier, Frédéric Y. Bois, et al.. (2015). Understanding the biokinetics of ibuprofen after single and repeated treatments in rat and human in vitro liver cell systems. Toxicology Letters. 233(2). 172–186. 27 indexed citations
15.
Cometa, Maria Francesca, Franca M. Buratti, Stefano Fortuna, et al.. (2007). Cholinesterase inhibition and alterations of hepatic metabolism by oral acute and repeated chlorpyrifos administration to mice. Toxicology. 234(1-2). 90–102. 29 indexed citations
16.
Consiglio, Emma Di, Annarita Meneguz, & Emanuela Testai. (2004). Organophosphorothionate pesticides inhibit the bioactivation of imipramine by human hepatic cytochrome P450s. Toxicology and Applied Pharmacology. 205(3). 237–246. 28 indexed citations
17.
Testai, Emanuela. (2001). Basic aspects of toxicology: metabolic pathways and individual factors of susceptibility to xenobiotics. 39(1). 3 indexed citations
18.
Fabrizi, Laura, Simonetta Gemma, Emanuela Testai, & Luciano Vittozzi. (1999). Identification of the cytochrome P450 isoenzymes involved in the metabolism of diazinon in the rat liver. Journal of Biochemical and Molecular Toxicology. 13(1). 53–61. 47 indexed citations
19.
Gemma, Simonetta, Maria Sbraccia, Emanuela Testai, & Luciano Vittozzi. (1994). In vivo production of different chloroform metabolites: effect of phenobarbital and buthionine sulfoximine pretreatment.. Environmental Health Perspectives. 102(suppl 9). 45–47. 4 indexed citations
20.
Sbraccia, Maria, et al.. (1992). The regioselective binding of CHCl3 reactive intermediates to microsomal phospholipids. Chemico-Biological Interactions. 85(2-3). 229–242. 21 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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