G. Sartori

823 total citations
43 papers, 524 citations indexed

About

G. Sartori is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, G. Sartori has authored 43 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Organic Chemistry, 9 papers in Molecular Biology and 9 papers in Computational Theory and Mathematics. Recurrent topics in G. Sartori's work include Computational Drug Discovery Methods (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Synthesis and properties of polymers (4 papers). G. Sartori is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Synthesis and properties of polymers (4 papers). G. Sartori collaborates with scholars based in Brazil, Italy and United States. G. Sartori's co-authors include David W. Savage, Carlos A. Montanari, W.S. Winston Ho, Tommaso Astarita, Peter W. Kenny, A. Valvassori, G. MAZZANTI, Giancarlo Lancini, Josmar R. Rocha and D. Kluepfel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Macromolecules.

In The Last Decade

G. Sartori

42 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Sartori Brazil	14	173	162	104	102	63	43	524
András Horváth Belgium	11	178 1.0×	45 0.3×	161 1.5×	60 0.6×	41 0.7×	21	456
Alejandro Álvarez‐Hernández Mexico	15	444 2.6×	73 0.5×	123 1.2×	34 0.3×	156 2.5×	36	751
Satoshi Murayama Japan	7	277 1.6×	23 0.1×	226 2.2×	31 0.3×	55 0.9×	8	564
Pat Forgione Canada	20	1.3k 7.5×	28 0.2×	170 1.6×	143 1.4×	117 1.9×	68	1.6k
Wenhao Yu China	18	460 2.7×	57 0.4×	77 0.7×	94 0.9×	389 6.2×	95	1.0k
Cosimo Annese Italy	16	242 1.4×	25 0.2×	117 1.1×	83 0.8×	150 2.4×	36	601
Francesco Frigerio Italy	15	65 0.4×	49 0.3×	264 2.5×	67 0.7×	198 3.1×	26	614
Eva Eichler Canada	14	408 2.4×	22 0.1×	285 2.7×	148 1.5×	94 1.5×	24	708
Xingzhong Zeng United States	21	708 4.1×	153 0.9×	256 2.5×	101 1.0×	371 5.9×	50	1.3k
Qin‐Pei Wu China	14	377 2.2×	78 0.5×	188 1.8×	41 0.4×	98 1.6×	46	612

Countries citing papers authored by G. Sartori

Since Specialization

Citations

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

Fields of papers citing papers by G. Sartori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Sartori

This figure shows the co-authorship network connecting the top 25 collaborators of G. Sartori. A scholar is included among the top collaborators of G. Sartori 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 G. Sartori. G. Sartori 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

Sartori, G., et al.. (2026). Ab-SELDON: Leveraging Diversity Data for an Efficient Automated Computational Pipeline for Antibody Design. Journal of Chemical Information and Modeling. 66(3). 1895–1905.

Almeida, Diego Henrique de, et al.. (2025). AbSet: A Standardized Data Set of Antibody Structures for Machine Learning Applications. Journal of Chemical Information and Modeling. 65(10). 4767–4774. 4 indexed citations

Sartori, G., et al.. (2023). The CDR3 region as the major driver of TREM-1 interaction with its ligands, an in silico characterization. Computational and Structural Biotechnology Journal. 21. 2579–2590. 9 indexed citations

Pavan, Aline Renata, et al.. (2022). Optimization of Resveratrol Used as a Scaffold to Design Histone Deacetylase (HDAC-1 and HDAC-2) Inhibitors. Pharmaceuticals. 15(10). 1260–1260. 10 indexed citations

Savino, Wilson, et al.. (2022). Investigation of Unprecedented Sites and Proposition of New Ligands for Programmed Cell Death Protein I through Molecular Dynamics with Probes and Virtual Screening. Journal of Chemical Information and Modeling. 62(5). 1236–1248. 2 indexed citations

Sartori, G., et al.. (2022). In silico mapping of the dynamic interactions and structure-activity relationship of flavonoid compounds against the immune checkpoint programmed-cell death 1 pathway. SHILAP Revista de lepidopterología. 2. 3 indexed citations

Sartori, G., et al.. (2020). Guidelines To Predict Binding Poses of Antibody–Integrin Complexes. ACS Omega. 5(27). 16379–16385. 4 indexed citations

Sartori, G., et al.. (2019). Polymorphisms in plastoquinol oxidase (PTOX) from Arabidopsis accessions indicate SNP-induced structural variants associated with altitude and rainfall. Journal of Bioenergetics and Biomembranes. 51(2). 151–164. 4 indexed citations

Sartori, G. & Alessandro S. Nascimento. (2019). Comparative Analysis of Electrostatic Models for Ligand Docking. Frontiers in Molecular Biosciences. 6. 52–52. 5 indexed citations

10.

Cianni, Lorenzo, G. Sartori, Daniela De Vita, et al.. (2018). Leveraging the cruzain S3 subsite to increase affinity for reversible covalent inhibitors. Bioorganic Chemistry. 79. 285–292. 19 indexed citations

11.

Kenny, Peter W., et al.. (2016). Hydrogen Bond Basicity Prediction for Medicinal Chemistry Design. Journal of Medicinal Chemistry. 59(9). 4278–4288. 42 indexed citations

12.

Kenny, Peter W., et al.. (2013). Automated molecule editing in molecular design. Journal of Computer-Aided Molecular Design. 27(8). 655–664. 8 indexed citations

13.

Sartori, G., et al.. (1996). A Novel, V⁵⁺-Stable K₂CO₃Promoter for CO₂Absorption∗. Separation Science and Technology. 31(12). 1663–1673. 11 indexed citations

14.

Savage, David W., G. Sartori, & Tommaso Astarita. (1984). Amines as rate promoters for carbon dioxide hydrolysis. Faraday Discussions of the Chemical Society. 77. 17–17. 42 indexed citations

15.

Dradi, E., Giovanni Casiraghi, G. Sartori, & Gianfranco Casnati. (1978). The Design of a Versatile Synthesis of Ortho-Orth' Methylene-Bridged Polyphenols. ¹³C NMR Investigation of "All-Ortho" Oligomers. Macromolecules. 11(6). 1295–1297. 20 indexed citations

16.

Sartori, G. & R. D. Lundberg. (1972). Observations on the copolymerization of norbornene with sulfur dioxide. Journal of Polymer Science Part B Polymer Letters. 10(8). 583–592. 11 indexed citations

17.

Sartori, G., et al.. (1966). Photochemical addition of butadiene to its homologs. Tetrahedron Letters. 7(2). 211–218. 3 indexed citations

18.

Ercolani, Claudio, et al.. (1966). Aluminosiloxane compounds. Part II. Compounds of formula C8H24Al3X5O6Si4(X = Cl or Br): structure, and reaction with sodium acetylacetonate. Journal of the Chemical Society A Inorganic Physical Theoretical. 606–606. 5 indexed citations

19.

Ercolani, Claudio, et al.. (1966). Aluminosiloxane compounds. Part I. Dichloro- and dibromotrimethylsiloxyaluminium: structure, and reaction with sodium acetylacetonate. Journal of the Chemical Society A Inorganic Physical Theoretical. 603–603. 1 indexed citations

20.

Kluepfel, D., Giancarlo Lancini, & G. Sartori. (1965). Metabolism of Barbital by Streptomyces mediterranei. Applied Microbiology. 13(4). 600–604. 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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