Silvia Lapenna

1.4k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Silvia Lapenna is a scholar working on Computational Theory and Mathematics, Food Science and Molecular Biology. According to data from OpenAlex, Silvia Lapenna has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 5 papers in Food Science and 4 papers in Molecular Biology. Recurrent topics in Silvia Lapenna's work include Computational Drug Discovery Methods (6 papers), Pesticide Residue Analysis and Safety (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Silvia Lapenna is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Pesticide Residue Analysis and Safety (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Silvia Lapenna collaborates with scholars based in Italy, United Kingdom and United States. Silvia Lapenna's co-authors include Antonio Giordano, Elise Grignard, Susanne Bremer, Worth Andrew, Rositsa Serafimova, Andrew Worth, Laurence Dinan, Aleksandra Mostrąg, Robert E. Hormann and Sandra Caldeira and has published in prestigious journals such as Nature Reviews Drug Discovery, Critical Reviews in Food Science and Nutrition and FEBS Journal.

In The Last Decade

Silvia Lapenna

15 papers receiving 1.1k citations

Hit Papers

Cell cycle kinases as therapeutic targets for cancer 2009 2026 2014 2020 2009 200 400 600
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.

  1. Cell cycle kinases as therapeutic targets for cancer
    2009 745 citations Silvia Lapenna, Antonio Giordano Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Lapenna Italy 11 516 356 242 169 155 15 1.2k
Wayne P. Bocchinfuso United States 21 783 1.5× 556 1.6× 173 0.7× 51 0.3× 124 0.8× 32 1.8k
Melyssa R. Bratton United States 20 595 1.2× 243 0.7× 90 0.4× 60 0.4× 65 0.4× 40 1.0k
Suresh B. Pakala United States 28 1.2k 2.4× 497 1.4× 72 0.3× 118 0.7× 129 0.8× 58 1.8k
Eunah Chung United States 18 1.3k 2.5× 170 0.5× 101 0.4× 272 1.6× 265 1.7× 24 1.7k
Matthew J. LeBaron United States 21 605 1.2× 476 1.3× 190 0.8× 37 0.2× 101 0.7× 53 1.3k
Tatiana Gladysheva United States 12 876 1.7× 289 0.8× 162 0.7× 91 0.5× 20 0.1× 17 1.3k
Takayuki Funakoshi Japan 17 604 1.2× 121 0.3× 120 0.5× 100 0.6× 114 0.7× 73 1.2k
Sergio Abonante Italy 17 499 1.0× 275 0.8× 172 0.7× 26 0.2× 58 0.4× 19 1.2k
Jiřina Hofmanová Czechia 24 859 1.7× 314 0.9× 107 0.4× 54 0.3× 182 1.2× 82 1.5k

Countries citing papers authored by Silvia Lapenna

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Lapenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Lapenna

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

All Works

15 of 15 papers shown
1.
Lapenna, Silvia, et al.. (2013). Assessing Herbal Products with Health Claims. Critical Reviews in Food Science and Nutrition. 55(13). 1918–1928. 14 indexed citations
2.
Grignard, Elise, Silvia Lapenna, & Susanne Bremer. (2012). Weak estrogenic transcriptional activities of Bisphenol A and Bisphenol S. Toxicology in Vitro. 26(5). 727–731. 217 indexed citations
3.
Worth, Andrew, Silvia Lapenna, & Rositsa Serafimova. (2012). QSAR and Metabolic Assessment Tools in the Assessment of Genotoxicity. Methods in molecular biology. 930. 125–162. 11 indexed citations
4.
Lapenna, Silvia, Silke Gabbert, & Andrew Worth. (2012). Training Needs for Toxicity Testing in the 21st Century: A Survey-informed Analysis. Alternatives to Laboratory Animals. 40(6). 313–320. 4 indexed citations
5.
6.
Andrew, Worth, et al.. (2011). The Use of Computational Methods in the Toxicological Assessment of Chemicals in Food: Current Status and Future Prospects. Joint Research Centre (European Commission). 18 indexed citations
7.
Lapenna, Silvia & Worth Andrew. (2011). Analysis of the Cramer classification scheme for oral systemic toxicity - implications for its implementation in Toxtree. Joint Research Centre (European Commission). 26 indexed citations
8.
Andrew, Worth, et al.. (2011). A Framework for assessing in silico Toxicity Predictions: Case Studies with selected Pesticides. Joint Research Centre (European Commission). 5 indexed citations
9.
Lapenna, Silvia, et al.. (2010). Review of QSAR Models and Software Tools for predicting Acute and Chronic Systemic Toxicity. Joint Research Centre (European Commission). 46 indexed citations
10.
Andrew, Worth, et al.. (2010). The Applicability of Software Tools for Genotoxicity and Carcinogenicity Prediction: Case Studies relevant to the Assessment of Pesticides. Joint Research Centre (European Commission). 15 indexed citations
11.
Sun, Han, Laurence Dinan, René Lafont, et al.. (2010). Absolute Configuration and Docking Study of Canescensterone, a Potent Phytoecdysteroid, with Non‐Lepidopteran Ecdysteroid Receptor Selectivity. European Journal of Organic Chemistry. 2010(30). 5791–5799. 4 indexed citations
12.
Lapenna, Silvia & Laurence Dinan. (2009). HPLC and TLC characterisation of ecdysteroid alkyl ethers. Journal of Chromatography B. 877(27). 2996–3002. 6 indexed citations
13.
Lapenna, Silvia & Antonio Giordano. (2009). Cell cycle kinases as therapeutic targets for cancer. Nature Reviews Drug Discovery. 8(7). 547–566. 745 indexed citations breakdown →
14.
Lapenna, Silvia, et al.. (2008). Ecdysteroid ligand–receptor selectivity – exploring trends to design orthogonal gene switches. FEBS Journal. 275(23). 5785–5809. 12 indexed citations
15.

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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