Milena Mennecozzi

730 total citations
17 papers, 501 citations indexed

About

Milena Mennecozzi is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Oncology. According to data from OpenAlex, Milena Mennecozzi has authored 17 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Oncology. Recurrent topics in Milena Mennecozzi's work include Computational Drug Discovery Methods (3 papers), Pluripotent Stem Cells Research (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Milena Mennecozzi is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Pluripotent Stem Cells Research (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Milena Mennecozzi collaborates with scholars based in Italy, United States and Belgium. Milena Mennecozzi's co-authors include Maurice Whelan, Taina Palosaari, Brigitte Landesmann, Christiane Guguen‐Guillouzo, Sofia Batista Leite, Bibiana Scelfo, Iwona Wilk–Zasadna, Sandra Coecke, José Manuel Zaldivar and Claude Guillou and has published in prestigious journals such as PLoS ONE, Cancer Research and Toxicology and Applied Pharmacology.

In The Last Decade

Milena Mennecozzi

17 papers receiving 496 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Milena Mennecozzi	245	105	94	93	65	17	501
Kusum Rathore	236 1.0×	93 0.9×	170 1.8×	23 0.2×	84 1.3×	23	611
Francesca Agriesti	232 0.9×	28 0.3×	53 0.6×	25 0.3×	116 1.8×	26	454
Tomiko Shimada	226 0.9×	14 0.1×	99 1.1×	36 0.4×	129 2.0×	11	418
Rani Kunjithapatham	407 1.7×	56 0.5×	71 0.8×	34 0.4×	306 4.7×	16	616
Shijie Fan	299 1.2×	28 0.3×	96 1.0×	41 0.4×	69 1.1×	31	518
Rachel Kama	676 2.8×	15 0.1×	93 1.0×	320 3.4×	64 1.0×	13	911
Tessy Thomas Maliekal	506 2.1×	26 0.2×	210 2.2×	38 0.4×	234 3.6×	25	760
Margaret Dah-Tsyr Chang	204 0.8×	22 0.2×	35 0.4×	63 0.7×	55 0.8×	14	400
Shinji Mima	434 1.8×	52 0.5×	123 1.3×	73 0.8×	79 1.2×	30	697

Countries citing papers authored by Milena Mennecozzi

Since Specialization

Citations

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

Fields of papers citing papers by Milena Mennecozzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milena Mennecozzi

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

All Works

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17 of 17 papers shown

Mennecozzi, Milena, Laura Batlle‐Morera, Barbara Corneo, et al.. (2025). Promoting the adoption of best practices and standards to enhance quality and reproducibility of stem cell research. Stem Cell Reports. 20(7). 102531–102531. 1 indexed citations

Mennecozzi, Milena, et al.. (2024). Exploring the connection between EU-funded research and methodological approaches: insights from a retrospective analysis. Journal of Translational Medicine. 22(1). 891–891. 1 indexed citations

Sawtell, Amy, Clare L. Thompson, Stephen Rapecki, et al.. (2021). Bispecific antibody target pair discovery by high-throughput phenotypic screening using in vitro combinatorial Fab libraries. mAbs. 13(1). 1859049–1859049. 11 indexed citations

Paini, Alicia, Milena Mennecozzi, Tomislav Horvat, et al.. (2016). Practical use of the Virtual Cell Based Assay: Simulation of repeated exposure experiments in liver cell lines. Toxicology in Vitro. 45(Pt 2). 233–240. 13 indexed citations

Mennecozzi, Milena, et al.. (2015). Sex Differences in Liver Toxicity—Do Female and Male Human Primary Hepatocytes React Differently to Toxicants In Vitro?. PLoS ONE. 10(4). e0122786–e0122786. 57 indexed citations

Pistollato, Francesca, Jochem Louisse, Bibiana Scelfo, et al.. (2014). Development of a pluripotent stem cell derived neuronal model to identify chemically induced pathway perturbations in relation to neurotoxicity: Effects of CREB pathway inhibition. Toxicology and Applied Pharmacology. 280(2). 378–388. 30 indexed citations

Harris, Georgina, Taina Palosaari, Zuzana Magdolénová, et al.. (2013). Iron oxide nanoparticle toxicity testing using high-throughput analysis and high-content imaging. Nanotoxicology. 9(sup1). 87–94. 44 indexed citations

Chung, David J., et al.. (2013). Langerhans-type and monocyte-derived human dendritic cells have different susceptibilities to mRNA electroporation with distinct effects on maturation and activation: implications for immunogenicity in dendritic cell-based immunotherapy. Journal of Translational Medicine. 11(1). 166–166. 16 indexed citations

Laurenza, Incoronata, Giorgia Pallocca, Milena Mennecozzi, et al.. (2013). A human pluripotent carcinoma stem cell‐based model for in vitro developmental neurotoxicity testing: Effects of methylmercury, lead and aluminum evaluated by gene expression studies. International Journal of Developmental Neuroscience. 31(7). 679–691. 34 indexed citations

10.

Landesmann, Brigitte, Milena Mennecozzi, Elisabet Berggren, & Maurice Whelan. (2013). Adverse Outcome Pathway-based Screening Strategies for an Animal-free Safety Assessment of Chemicals. Alternatives to Laboratory Animals. 41(6). 461–471. 14 indexed citations

11.

Mennecozzi, Milena, et al.. (2012). High content hepatotoxicity screening based on mode-of-action approach. Toxicology Letters. 211. S191–S191. 3 indexed citations

12.

Leite, Sofia Batista, Iwona Wilk–Zasadna, José Manuel Zaldivar, et al.. (2012). Three-Dimensional HepaRG Model As An Attractive Tool for Toxicity Testing. Toxicological Sciences. 130(1). 106–116. 86 indexed citations

13.

Nerini‐Molteni, Silvia, Milena Mennecozzi, Marco Fabbri, et al.. (2012). MicroRNA Profiling as a Tool for Pathway Analysis in a Human In Vitro Model for Neural Development. Current Medicinal Chemistry. 19(36). 6214–6223. 14 indexed citations

14.

Mennecozzi, Milena, et al.. (2011). A biology-based dynamic approach for the modelling of toxicity in cell assays.Part II: Models for cell population growth and toxicity. Joint Research Centre (European Commission). 10 indexed citations

15.

Colombo, Riccardo, Marina Caldarelli, Milena Mennecozzi, et al.. (2010). Targeting the Mitotic Checkpoint for Cancer Therapy with NMS-P715, an Inhibitor of MPS1 Kinase. Cancer Research. 70(24). 10255–10264. 129 indexed citations

16.

Mennecozzi, Milena, et al.. (2010). A biology-based dynamic approach for the modelling of toxicity in cell-based assays. Part I: Fate modelling. Joint Research Centre (European Commission). 17 indexed citations

17.

Felicetti, Patrizia, et al.. (2006). Tumor endothelial marker 8 enhances tumor immunity in conjunction with immunization against differentiation Ag. Cytotherapy. 9(1). 23–34. 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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