Emanuela Gancia

1.2k total citations
14 papers, 795 citations indexed

About

Emanuela Gancia is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Emanuela Gancia has authored 14 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 8 papers in Molecular Biology and 5 papers in Organic Chemistry. Recurrent topics in Emanuela Gancia's work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (3 papers) and Synthesis and biological activity (3 papers). Emanuela Gancia is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (3 papers) and Synthesis and biological activity (3 papers). Emanuela Gancia collaborates with scholars based in Italy, United Kingdom and Australia. Emanuela Gancia's co-authors include Andrea Zaliani, David T. Manallack, William R. Pitt, John G. Montana, David E. Clark, Benjamin G. Tehan, Bohdan Waszkowycz, Margaret G. Wong, Edward J. Lloyd and Gianpaolo Bravi and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Computational Chemistry and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Emanuela Gancia

14 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emanuela Gancia Italy 13 407 374 285 114 91 14 795
Suresh Babu Mekapati United States 14 324 0.8× 237 0.6× 242 0.8× 92 0.8× 57 0.6× 21 640
Omar Deeb Palestinian Territory 16 305 0.7× 242 0.6× 175 0.6× 131 1.1× 44 0.5× 54 746
Andrew G. Mercader Argentina 14 356 0.9× 175 0.5× 243 0.9× 88 0.8× 84 0.9× 25 639
C Silipo Italy 16 311 0.8× 384 1.0× 316 1.1× 228 2.0× 83 0.9× 44 933
Alka Kurup United States 19 568 1.4× 390 1.0× 470 1.6× 139 1.2× 85 0.9× 32 1.1k
Alan P. Hill United Kingdom 10 218 0.5× 291 0.8× 241 0.8× 246 2.2× 68 0.7× 12 805
Miles G. Siegel United States 11 182 0.4× 492 1.3× 390 1.4× 90 0.8× 43 0.5× 22 812
Mikko J. Vainio Finland 11 385 0.9× 403 1.1× 164 0.6× 101 0.9× 160 1.8× 12 851
Christopher N. Luscombe United Kingdom 12 319 0.8× 316 0.8× 262 0.9× 136 1.2× 59 0.6× 13 815
Jan Schuur Germany 5 354 0.9× 174 0.5× 149 0.5× 130 1.1× 82 0.9× 6 546

Countries citing papers authored by Emanuela Gancia

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Gancia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Gancia

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

All Works

14 of 14 papers shown
1.
Gancia, Emanuela, Marcel de Groot, Brenda Burton, & David E. Clark. (2017). Discovery of LRRK2 inhibitors by using an ensemble of virtual screening methods. Bioorganic & Medicinal Chemistry Letters. 27(11). 2520–2527. 12 indexed citations
2.
Heald, Robert A., Philip S. Jackson, Pascal Savy, et al.. (2012). Discovery of Novel Allosteric Mitogen-Activated Protein Kinase Kinase (MEK) 1,2 Inhibitors Possessing Bidentate Ser212 Interactions. Journal of Medicinal Chemistry. 55(10). 4594–4604. 31 indexed citations
3.
Waszkowycz, Bohdan, David E. Clark, & Emanuela Gancia. (2011). Outstanding challenges in protein–ligand docking and structure‐based virtual screening. Wiley Interdisciplinary Reviews Computational Molecular Science. 1(2). 229–259. 89 indexed citations
4.
Humphries, Alexander C., Emanuela Gancia, Simon Goodacre, et al.. (2006). 8-Fluoroimidazo[1,2-a]pyridine: Synthesis, physicochemical properties and evaluation as a bioisosteric replacement for imidazo[1,2-a]pyrimidine in an allosteric modulator ligand of the GABAA receptor. Bioorganic & Medicinal Chemistry Letters. 16(6). 1518–1522. 96 indexed citations
5.
Manallack, David T., Benjamin G. Tehan, Emanuela Gancia, et al.. (2003). A Consensus Neural Network-Based Technique for Discriminating Soluble and Poorly Soluble Compounds. Journal of Chemical Information and Computer Sciences. 43(2). 674–679. 49 indexed citations
6.
Tehan, Benjamin G., Edward J. Lloyd, Margaret G. Wong, et al.. (2002). Estimation of pKa Using Semiempirical Molecular Orbital Methods. Part 1: Application to Phenols and Carboxylic Acids.. Quantitative Structure-Activity Relationships. 21(5). 457–472. 106 indexed citations
7.
Manallack, David T., William R. Pitt, Emanuela Gancia, et al.. (2002). Selecting Screening Candidates for Kinase and G Protein-Coupled Receptor Targets Using Neural Networks. Journal of Chemical Information and Computer Sciences. 42(5). 1256–1262. 46 indexed citations
8.
Tehan, Benjamin G., Edward J. Lloyd, Margaret G. Wong, et al.. (2002). Estimation of pKa Using Semiempirical Molecular Orbital Methods. Part 2: Application to Amines, Anilines and Various Nitrogen Containing Heterocyclic Compounds.. Quantitative Structure-Activity Relationships. 21(5). 473–485. 64 indexed citations
9.
Gancia, Emanuela, John G. Montana, & David T. Manallack. (2001). Theoretical hydrogen bonding parameters for drug design. Journal of Molecular Graphics and Modelling. 19(3-4). 349–362. 53 indexed citations
10.
Gancia, Emanuela, Gianpaolo Bravi, Paolo Mascagni, & Andrea Zaliani. (2000). Global 3D-QSAR methods: MS-WHIM and autocorrelation. Journal of Computer-Aided Molecular Design. 14(3). 293–306. 20 indexed citations
11.
Zaliani, Andrea & Emanuela Gancia. (1999). MS-WHIM Scores for Amino Acids:  A New 3D-Description for Peptide QSAR and QSPR Studies. Journal of Chemical Information and Computer Sciences. 39(3). 525–533. 127 indexed citations
12.
Zaliani, Andrea & Emanuela Gancia. (1999). ChemInform Abstract: MS‐WHIM Scores for Amino Acids: A New 3D‐Description for Peptide QSAR and QSPR Studies. ChemInform. 30(32). 1 indexed citations
13.
Bravi, Gianpaolo, et al.. (1997). MS-WHIM, new 3D theoretical descriptors derived from molecular surface properties: A comparative 3D QSAR study in a series of steroids. Journal of Computer-Aided Molecular Design. 11(1). 79–92. 89 indexed citations
14.
Bravi, Gianpaolo, et al.. (1997). SONHICA (Simple optimized non-HIerarchical Cluster Analysis): A new tool for analysis of molecular conformations. Journal of Computational Chemistry. 18(10). 1295–1311. 12 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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