Emilio Xavier Esposito

994 total citations
20 papers, 661 citations indexed

About

Emilio Xavier Esposito is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Emilio Xavier Esposito has authored 20 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Emilio Xavier Esposito's work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (2 papers) and Machine Learning in Materials Science (2 papers). Emilio Xavier Esposito is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (2 papers) and Machine Learning in Materials Science (2 papers). Emilio Xavier Esposito collaborates with scholars based in United States, Taiwan and France. Emilio Xavier Esposito's co-authors include A. J. Hopfinger, Yufeng Jane Tseng, Jeffry D. Madura, Bo‐Han Su, James B. Dunbar, Heather A. Carlson, Richard D. Smith, Shaomeng Wang, Peter M.U. Ung and Chao‐Yie Yang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and Toxicology and Applied Pharmacology.

In The Last Decade

Emilio Xavier Esposito

20 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emilio Xavier Esposito United States 13 438 376 137 80 68 20 661
Vishal B. Siramshetty United States 16 488 1.1× 443 1.2× 88 0.6× 67 0.8× 49 0.7× 24 848
Georgios Leonis Greece 14 118 0.3× 286 0.8× 61 0.4× 64 0.8× 99 1.5× 31 575
Simon Cross Italy 15 332 0.8× 433 1.2× 79 0.6× 127 1.6× 123 1.8× 27 738
Maykel Cruz‐Monteagudo Portugal 19 629 1.4× 511 1.4× 102 0.7× 105 1.3× 152 2.2× 50 984
Sonia Arrasate Spain 19 348 0.8× 336 0.9× 125 0.9× 86 1.1× 306 4.5× 52 974
Nikolay Savchuk United States 16 569 1.3× 460 1.2× 134 1.0× 65 0.8× 152 2.2× 31 911
Iurii Sushko Germany 6 523 1.2× 265 0.7× 177 1.3× 62 0.8× 102 1.5× 13 709
Sampada A. Shahane United States 11 304 0.7× 312 0.8× 83 0.6× 46 0.6× 20 0.3× 13 595
Gianluca Sforna Italy 4 207 0.5× 210 0.6× 59 0.4× 43 0.5× 141 2.1× 6 443
Eloy Félix United Kingdom 6 625 1.4× 545 1.4× 230 1.7× 88 1.1× 68 1.0× 11 1.0k

Countries citing papers authored by Emilio Xavier Esposito

Since Specialization
Citations

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

Fields of papers citing papers by Emilio Xavier Esposito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emilio Xavier Esposito. 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 Emilio Xavier Esposito. The network helps show where Emilio Xavier Esposito may publish in the future.

Co-authorship network of co-authors of Emilio Xavier Esposito

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

All Works

20 of 20 papers shown
1.
Lin, Fang‐Yu, Emilio Xavier Esposito, & Yufeng Jane Tseng. (2018). LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility. Frontiers in Pharmacology. 9. 96–96. 4 indexed citations
2.
Yang, Zhiyong, Juraj Adamik, Emilio Xavier Esposito, et al.. (2018). A combined computational and experimental approach reveals the structure of a C/EBPβ–Spi1 interaction required for IL1B gene transcription. Journal of Biological Chemistry. 293(52). 19942–19956. 4 indexed citations
3.
Sharma, Shiv K., et al.. (2018). The Design, Synthesis, and Characterizations of Spore Germination Inhibitors Effective against an Epidemic Strain of Clostridium difficile. Journal of Medicinal Chemistry. 61(15). 6759–6778. 13 indexed citations
4.
Berberich, Jason A., et al.. (2016). Biological Testing of Organophosphorus-Inactivated Acetylcholinesterase Oxime Reactivators Identified via Virtual Screening. Chemical Research in Toxicology. 29(9). 1534–1540. 5 indexed citations
5.
Esposito, Emilio Xavier, et al.. (2015). Exploring possible mechanisms of action for the nanotoxicity and protein binding of decorated nanotubes: interpretation of physicochemical properties from optimal QSAR models. Toxicology and Applied Pharmacology. 288(1). 52–62. 8 indexed citations
6.
Felton, Linda A., et al.. (2014). Experimental and Computational Studies of Physicochemical Properties Influence NSAID-Cyclodextrin Complexation. AAPS PharmSciTech. 15(4). 872–881. 21 indexed citations
7.
Dunbar, James B., Richard D. Smith, Kelly L. Damm‐Ganamet, et al.. (2013). CSAR Data Set Release 2012: Ligands, Affinities, Complexes, and Docking Decoys. Journal of Chemical Information and Modeling. 53(8). 1842–1852. 90 indexed citations
8.
Esposito, Emilio Xavier, Terry R. Stouch, Troy Wymore, & Jeffry D. Madura. (2013). Exploring the Physicochemical Properties of Oxime-Reactivation Therapeutics for Cyclosarin, Sarin, Tabun, and VX Inactivated Acetylcholinesterase. Chemical Research in Toxicology. 27(1). 99–110. 11 indexed citations
9.
Esposito, Emilio Xavier, et al.. (2013). Oversampling to Overcome Overfitting: Exploring the Relationship between Data Set Composition, Molecular Descriptors, and Predictive Modeling Methods. Journal of Chemical Information and Modeling. 53(4). 958–971. 43 indexed citations
10.
Su, Bo‐Han, et al.. (2012). Dependence of QSAR Models on the Selection of Trial Descriptor Sets: A Demonstration Using Nanotoxicity Endpoints of Decorated Nanotubes. Journal of Chemical Information and Modeling. 53(1). 142–158. 35 indexed citations
11.
Su, Bo‐Han, et al.. (2012). Predictive Toxicology Modeling: Protocols for Exploring hERG Classification and Tetrahymena pyriformis End Point Predictions. Journal of Chemical Information and Modeling. 52(6). 1660–1673. 22 indexed citations
12.
Tseng, Yufeng Jane, A. J. Hopfinger, & Emilio Xavier Esposito. (2011). The great descriptor melting pot: mixing descriptors for the common good of QSAR models. Journal of Computer-Aided Molecular Design. 26(1). 39–43. 36 indexed citations
13.
Smith, Richard D., James B. Dunbar, Peter M.U. Ung, et al.. (2011). CSAR Benchmark Exercise of 2010: Combined Evaluation Across All Submitted Scoring Functions. Journal of Chemical Information and Modeling. 51(9). 2115–2131. 111 indexed citations
14.
Su, Bo‐Han, et al.. (2011). A Comprehensive Support Vector Machine Binary hERG Classification Model Based on Extensive but Biased End Point hERG Data Sets. Chemical Research in Toxicology. 24(6). 934–949. 37 indexed citations
15.
Su, Bo‐Han, et al.. (2010). In Silico Binary Classification QSAR Models Based on 4D-Fingerprints and MOE Descriptors for Prediction of hERG Blockage. Journal of Chemical Information and Modeling. 50(7). 1304–1318. 59 indexed citations
16.
Zheng, Tao, A. J. Hopfinger, Emilio Xavier Esposito, Jianzhong Liu, & Yufeng Jane Tseng. (2008). Membrane-Interaction Quantitative Structure−Activity Relationship (MI-QSAR) Analyses of Skin Penetration Enhancers. Journal of Chemical Information and Modeling. 48(6). 1238–1256. 15 indexed citations
17.
Liu, Jianzhong, Petra Kern, G. Frank Gerberick, et al.. (2008). Categorical QSAR models for skin sensitization based on local lymph node assay measures and both ground and excited state 4D-fingerprint descriptors. Journal of Computer-Aided Molecular Design. 22(6-7). 345–366. 9 indexed citations
18.
Esposito, Emilio Xavier, A. J. Hopfinger, & Jeffry D. Madura. (2004). Methods for Applying the Quantitative Structure-Activity Relationship Paradigm. Methods in molecular biology. 131–213. 88 indexed citations
19.
Esposito, Emilio Xavier, et al.. (2000). Docking of sulfonamides to carbonic anhydrase II and IV. Journal of Molecular Graphics and Modelling. 18(3). 283–289. 45 indexed citations
20.
Esposito, Emilio Xavier, et al.. (2000). Docking Substrates to Metalloenzymes. Molecular Simulation. 24(4-6). 293–306. 5 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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