Manuela Sabatino

908 total citations
31 papers, 668 citations indexed

About

Manuela Sabatino is a scholar working on Food Science, Molecular Biology and Plant Science. According to data from OpenAlex, Manuela Sabatino has authored 31 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Food Science, 11 papers in Molecular Biology and 9 papers in Plant Science. Recurrent topics in Manuela Sabatino's work include Essential Oils and Antimicrobial Activity (13 papers), Phytochemistry and Biological Activities (6 papers) and Computational Drug Discovery Methods (5 papers). Manuela Sabatino is often cited by papers focused on Essential Oils and Antimicrobial Activity (13 papers), Phytochemistry and Biological Activities (6 papers) and Computational Drug Discovery Methods (5 papers). Manuela Sabatino collaborates with scholars based in Italy, Serbia and Montenegro. Manuela Sabatino's co-authors include Rino Ragno, Stefanıa Garzoli, Mijat Božović, Alexandros Patsilinakos, Marco Artini, Gianluca Vrenna, Laura Selan, Federico Pepi, Rosanna Papa and Stefano Manfredini and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and Molecules.

In The Last Decade

Manuela Sabatino

31 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manuela Sabatino Italy	16	264	231	183	98	68	31	668
Alexia Barbarossa Italy	12	164 0.6×	224 1.0×	179 1.0×	159 1.6×	47 0.7×	35	662
Edyta M. Grzelak United States	12	192 0.7×	237 1.0×	110 0.6×	100 1.0×	54 0.8×	21	687
Satish Sardana India	18	135 0.5×	194 0.8×	166 0.9×	118 1.2×	155 2.3×	57	841
Margarita García de Bravo Argentina	13	249 0.9×	318 1.4×	148 0.8×	67 0.7×	29 0.4×	22	646
Anima Pandey India	16	186 0.7×	140 0.6×	149 0.8×	265 2.7×	95 1.4×	46	724
Chiara La Torre Italy	17	277 1.0×	293 1.3×	217 1.2×	134 1.4×	35 0.5×	31	1.0k
Dina M. El‐Kersh Egypt	17	261 1.0×	230 1.0×	221 1.2×	83 0.8×	86 1.3×	31	856
Saud Bawazeer Saudi Arabia	13	87 0.3×	167 0.7×	156 0.9×	125 1.3×	33 0.5×	29	583
Carlos da Silva Maia Bezerra Filho Brazil	12	156 0.6×	158 0.7×	124 0.7×	64 0.7×	61 0.9×	16	657
Wafa Ali Eltayb Sudan	14	99 0.4×	328 1.4×	151 0.8×	127 1.3×	135 2.0×	40	854

Countries citing papers authored by Manuela Sabatino

Since Specialization

Citations

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

Fields of papers citing papers by Manuela Sabatino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Sabatino

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

All Works

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20 of 20 papers shown

Garzoli, Stefanıa, Caterina Pipino, Domitilla Mandatori, et al.. (2023). Essential Oils from Mediterranean Plants Inhibit In Vitro Monocyte Adhesion to Endothelial Cells from Umbilical Cords of Females with Gestational Diabetes Mellitus. International Journal of Molecular Sciences. 24(8). 7225–7225. 4 indexed citations

Stanković, Nevena, et al.. (2022). Human Estrogen Receptor Alpha Antagonists, Part 3: 3-D Pharmacophore and 3-D QSAR Guided Brefeldin A Hit-to-Lead Optimization toward New Breast Cancer Suppressants. Molecules. 27(9). 2823–2823. 9 indexed citations

Artini, Marco, Rosanna Papa, Mijat Božović, et al.. (2022). Essential Oils Biofilm Modulation Activity and Machine Learning Analysis on Pseudomonas aeruginosa Isolates from Cystic Fibrosis Patients. Microorganisms. 10(5). 887–887. 17 indexed citations

Sabatino, Manuela, et al.. (2022). Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal. Journal of Computer-Aided Molecular Design. 36(7). 483–505. 6 indexed citations

Stanković, Nevena, Sanja Matić, Marina Mitrović, et al.. (2021). Human Estrogen Receptor α Antagonists. Part 1: 3-D QSAR-Driven Rational Design of Innovative Coumarin-Related Antiestrogens as Breast Cancer Suppressants through Structure-Based and Ligand-Based Studies. Journal of Chemical Information and Modeling. 61(10). 5028–5053. 7 indexed citations

Cervoni, L., et al.. (2021). A Comparative Analysis of Punicalagin Interaction with PDIA1 and PDIA3 by Biochemical and Computational Approaches. Biomedicines. 9(11). 1533–1533. 6 indexed citations

Baldisserotto, Anna, Manuela Sabatino, Erika Baldini, et al.. (2021). Machine Learning Data Augmentation as a Tool to Enhance Quantitative Composition–Activity Relationships of Complex Mixtures. A New Application to Dissect the Role of Main Chemical Components in Bioactive Essential Oils. Molecules. 26(20). 6279–6279. 8 indexed citations

Papa, Rosanna, Stefanıa Garzoli, Gianluca Vrenna, et al.. (2020). Essential Oils Biofilm Modulation Activity, Chemical and Machine Learning Analysis—Application on Staphylococcus aureus Isolates from Cystic Fibrosis Patients. International Journal of Molecular Sciences. 21(23). 9258–9258. 26 indexed citations

Soares, Milena Botelho Pereira, Caio Haddad Franco, Laura Maria Alcântara, et al.. (2020). Identification of Inhibitors to Trypanosoma cruzi Sirtuins Based on Compounds Developed to Human Enzymes. International Journal of Molecular Sciences. 21(10). 3659–3659. 10 indexed citations

10.

Vito, Maura Di, Maria Grazia Bellardi, Maurizio Sanguinetti, et al.. (2020). Potent In Vitro Activity of Citrus aurantium Essential Oil and Vitis vinifera Hydrolate Against Gut Yeast Isolates from Irritable Bowel Syndrome Patients—The Right Mix for Potential Therapeutic Use. Nutrients. 12(5). 1329–1329. 14 indexed citations

11.

Rinaldi, Federica, Alessandra Oliva, Manuela Sabatino, et al.. (2020). Antimicrobial Essential Oil Formulation: Chitosan Coated Nanoemulsions for Nose to Brain Delivery. Pharmaceutics. 12(7). 678–678. 44 indexed citations

12.

Sabatino, Manuela, Marco Fabiani, Mijat Božović, et al.. (2020). Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils. Molecules. 25(10). 2452–2452. 21 indexed citations

13.

Zwergel, Clemens, Manuela Sabatino, Gilbert Kirsch, et al.. (2020). Discovery of the First Human Arylsulfatase A Reversible Inhibitor Impairing Mouse Oocyte Fertilization. ACS Chemical Biology. 15(6). 1349–1357. 4 indexed citations

14.

Patsilinakos, Alexandros, Marco Artini, Rosanna Papa, et al.. (2019). Machine Learning Analyses on Data including Essential Oil Chemical Composition and In Vitro Experimental Antibiofilm Activities against Staphylococcus Species. Molecules. 24(5). 890–890. 45 indexed citations

15.

Sabatino, Manuela, Dante Rotili, Alexandros Patsilinakos, et al.. (2018). Disruptor of telomeric silencing 1-like (DOT1L): disclosing a new class of non-nucleoside inhibitors by means of ligand-based and structure-based approaches. Journal of Computer-Aided Molecular Design. 32(3). 435–458. 14 indexed citations

16.

Artini, Marco, Alexandros Patsilinakos, Rosanna Papa, et al.. (2018). Antimicrobial and Antibiofilm Activity and Machine Learning Classification Analysis of Essential Oils from Different Mediterranean Plants against Pseudomonas aeruginosa. Molecules. 23(2). 482–482. 72 indexed citations

17.

Božović, Mijat, Stefanıa Garzoli, Manuela Sabatino, et al.. (2017). Essential Oil Extraction, Chemical Analysis and Anti-Candida Activity of Calamintha nepeta (L.) Savi subsp. glandulosa (Req.) Ball—New Approaches. Molecules. 22(2). 203–203. 38 indexed citations

18.

Mladenović, Milan, et al.. (2017). Understanding the Molecular Determinant of Reversible Human Monoamine Oxidase B Inhibitors Containing 2H-Chromen-2-One Core: Structure-Based and Ligand-Based Derived Three-Dimensional Quantitative Structure–Activity Relationships Predictive Models. Journal of Chemical Information and Modeling. 57(4). 787–814. 30 indexed citations

19.

Carradori, Simone, Bruna Bizzarri, Melissa D’Ascenzio, et al.. (2017). Synthesis, biological evaluation and quantitative structure-active relationships of 1,3-thiazolidin-4-one derivatives. A promising chemical scaffold endowed with high antifungal potency and low cytotoxicity. European Journal of Medicinal Chemistry. 140. 274–292. 22 indexed citations

20.

Venditti, Alessandro, Claudio Frezza, Giampiero Ciaschetti, et al.. (2017). Composition of the Essential Oil of Coristospermum cuneifolium and Antimicrobial Activity Evaluation. Planta Medica International Open. 4(2). e74–e81. 8 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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