Marco Marzo

537 total citations
23 papers, 380 citations indexed

About

Marco Marzo is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Food Science. According to data from OpenAlex, Marco Marzo has authored 23 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 15 papers in Health, Toxicology and Mutagenesis and 5 papers in Food Science. Recurrent topics in Marco Marzo's work include Computational Drug Discovery Methods (16 papers), Effects and risks of endocrine disrupting chemicals (10 papers) and Environmental Toxicology and Ecotoxicology (5 papers). Marco Marzo is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Effects and risks of endocrine disrupting chemicals (10 papers) and Environmental Toxicology and Ecotoxicology (5 papers). Marco Marzo collaborates with scholars based in Italy, Germany and Canada. Marco Marzo's co-authors include Emilio Benfenati, Andrey A. Toropov, Alla P. Toropova, Diego Baderna, Giovanna J. Lavado, J.L.C.M. Dorne, Alessandra Roncaglioni, Nikolaos Georgiadis, Domenico Gadaleta and Anna Lombardo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and International Journal of Molecular Sciences.

In The Last Decade

Marco Marzo

23 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Marzo Italy	12	217	154	66	65	57	23	380
Giovanna J. Lavado Italy	9	224 1.0×	101 0.7×	80 1.2×	52 0.8×	47 0.8×	17	375
Cosimo Toma Italy	12	257 1.2×	111 0.7×	128 1.9×	59 0.9×	50 0.9×	17	533
Claire M. Ellison United Kingdom	11	242 1.1×	158 1.0×	91 1.4×	41 0.6×	50 0.9×	14	469
Arianna Bassan Italy	13	245 1.1×	135 0.9×	96 1.5×	82 1.3×	40 0.7×	30	501
Andrea Gissi Italy	12	189 0.9×	95 0.6×	49 0.7×	42 0.6×	36 0.6×	13	326
Elton Zvinavashe Netherlands	8	170 0.8×	139 0.9×	48 0.7×	37 0.6×	42 0.7×	8	318
Kirk Arvidson United States	11	223 1.0×	132 0.9×	98 1.5×	41 0.6×	37 0.6×	13	444
Nadège Piclin Italy	9	141 0.6×	102 0.7×	53 0.8×	49 0.8×	33 0.6×	10	344
Angela White United Kingdom	10	131 0.6×	97 0.6×	100 1.5×	41 0.6×	32 0.6×	22	427
Atanas Chapkanov Bulgaria	8	172 0.8×	99 0.6×	56 0.8×	31 0.5×	50 0.9×	13	328

Countries citing papers authored by Marco Marzo

Since Specialization

Citations

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

Fields of papers citing papers by Marco Marzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Marzo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Benfenati, Emilio, Alessandra Roncaglioni, Marco Marzo, et al.. (2024). Maintenance, update and further development of EFSA's Chemical Hazards: OpenFoodTox 2.0. EFSA Supporting Publications. 21(1). 2 indexed citations

Benfenati, Emilio, Alessandra Roncaglioni, Marco Marzo, et al.. (2022). Maintenance, update and further development of EFSA's Chemical Hazards: OpenFoodTox 2.0. EFSA Supporting Publications. 19(12). 6 indexed citations

Marzo, Marco, Alessandra Roncaglioni, Sunil Kulkarni, Tara S. Barton‐Maclaren, & Emilio Benfenati. (2022). In Silico Models for Developmental Toxicity. Methods in molecular biology. 2425. 217–240. 5 indexed citations

Lavado, Giovanna J., Alla P. Toropova, Andrey A. Toropov, et al.. (2022). Monte Carlo Models for Sub-Chronic Repeated-Dose Toxicity: Systemic and Organ-Specific Toxicity. International Journal of Molecular Sciences. 23(12). 6615–6615. 11 indexed citations

Gadaleta, Domenico, et al.. (2021). Quantitative Structure-Activity Relationship Modeling of the Amplex Ultrared Assay to Predict Thyroperoxidase Inhibitory Activity. Frontiers in Pharmacology. 12. 713037–713037. 8 indexed citations

Benfenati, Emilio, Alessandra Roncaglioni, Edoardo Carnesecchi, et al.. (2021). Maintenance, update and further development of EFSA's Chemical Hazards: OpenFoodTox 2.0. EFSA Supporting Publications. 18(3). 3 indexed citations

Toropov, Andrey A., et al.. (2020). Pesticides, cosmetics, drugs: identical and opposite influences of various molecular features as measures of endpoints similarity and dissimilarity. Molecular Diversity. 25(2). 1137–1144. 3 indexed citations

Gadaleta, Domenico, Marco Marzo, Andrey A. Toropov, et al.. (2020). Integrated In Silico Models for the Prediction of No-Observed-(Adverse)-Effect Levels and Lowest-Observed-(Adverse)-Effect Levels in Rats for Sub-chronic Repeated-Dose Toxicity. Chemical Research in Toxicology. 34(2). 247–257. 16 indexed citations

Toma, Cosimo, Alberto Manganaro, Giuseppa Raitano, et al.. (2020). QSAR Models for Human Carcinogenicity: An Assessment Based on Oral and Inhalation Slope Factors. Molecules. 26(1). 127–127. 15 indexed citations

10.

Lavado, Giovanna J., Domenico Gadaleta, Cosimo Toma, et al.. (2020). Zebrafish AC modelling: (Q)SAR models to predict developmental toxicity in zebrafish embryo. Ecotoxicology and Environmental Safety. 202. 110936–110936. 23 indexed citations

11.

Khan, Kabiruddin, Giovanna J. Lavado, Diego Baderna, et al.. (2019). QSAR modeling of Daphnia magna and fish toxicities of biocides using 2D descriptors. Chemosphere. 229. 8–17. 77 indexed citations

12.

Toropov, Andrey A., Alla P. Toropova, Marco Marzo, & Emilio Benfenati. (2019). Use of the index of ideality of correlation to improve aquatic solubility model. Journal of Molecular Graphics and Modelling. 96. 107525–107525. 13 indexed citations

13.

Raitano, Giuseppa, Daniele Goi, Valentina Pieri, et al.. (2018). (Eco)toxicological maps: A new risk assessment method integrating traditional and in silico tools and its application in the Ledra River (Italy). Environment International. 119. 275–286. 12 indexed citations

14.

Toma, Cosimo, Domenico Gadaleta, Alessandra Roncaglioni, et al.. (2018). QSAR Development for Plasma Protein Binding: Influence of the Ionization State. Pharmaceutical Research. 36(2). 28–28. 14 indexed citations

15.

Marzo, Marco, et al.. (2018). Impact of REACH legislation on the production and importation of CMR (carcinogen, mutagen and reproductive) and explosive chemicals in Italy from 2011 to 2015. Regulatory Toxicology and Pharmacology. 101. 166–171. 1 indexed citations

16.

Toropova, Alla P., Andrey A. Toropov, Marco Marzo, et al.. (2017). The application of new HARD-descriptor available from the CORAL software to building up NOAEL models. Food and Chemical Toxicology. 112. 544–550. 32 indexed citations

17.

Toropov, Andrey A., Alla P. Toropova, Marco Marzo, et al.. (2017). QSAR models for predicting acute toxicity of pesticides in rainbow trout using the CORAL software and EFSA’s OpenFoodTox database. Environmental Toxicology and Pharmacology. 53. 158–163. 51 indexed citations

18.

Marzo, Marco, Alessandra Roncaglioni, Sunil Kulkarni, Tara S. Barton‐Maclaren, & Emilio Benfenati. (2016). In Silico Model for Developmental Toxicity: How to Use QSAR Models and Interpret Their Results. Methods in molecular biology. 1425. 139–161. 9 indexed citations

19.

Marzo, Marco, et al.. (2016). QSAR Methods to Screen Endocrine Disruptors. SHILAP Revista de lepidopterología. 3. 7 indexed citations

20.

Marzo, Marco, Sunil Kulkarni, Alberto Manganaro, et al.. (2016). Integrating in silico models to enhance predictivity for developmental toxicity. Toxicology. 370. 127–137. 40 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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