Ignacio Aliagas

2.4k total citations
18 papers, 315 citations indexed

About

Ignacio Aliagas is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Ignacio Aliagas has authored 18 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 9 papers in Molecular Biology and 6 papers in Spectroscopy. Recurrent topics in Ignacio Aliagas's work include Computational Drug Discovery Methods (10 papers), Analytical Chemistry and Chromatography (6 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Ignacio Aliagas is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Analytical Chemistry and Chromatography (6 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Ignacio Aliagas collaborates with scholars based in United States, France and China. Ignacio Aliagas's co-authors include Man‐Ling Lee, Alberto Gobbi, Daniel F. Ortwine, Fabio Broccatelli, Hao Zheng, Scott Gronert, Benjamin D. Sellers, Jonathan Cheong, Laurent Salphati and Jianwen A. Feng and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Chromatography A and The Journal of Physical Chemistry A.

In The Last Decade

Ignacio Aliagas

18 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignacio Aliagas United States 13 145 113 69 66 44 18 315
Pil H. Lee United States 12 182 1.3× 133 1.2× 90 1.3× 71 1.1× 28 0.6× 23 449
Chad Stoner United States 10 131 0.9× 121 1.1× 54 0.8× 44 0.7× 58 1.3× 10 333
Joseph R. Votano United States 10 187 1.3× 211 1.9× 53 0.8× 113 1.7× 26 0.6× 15 477
Laurence Philippe United States 9 264 1.8× 141 1.2× 143 2.1× 114 1.7× 73 1.7× 11 431
Carola M. Wassvik Sweden 8 118 0.8× 129 1.1× 102 1.5× 214 3.2× 52 1.2× 11 545
Carol N. Manners United Kingdom 9 178 1.2× 93 0.8× 73 1.1× 136 2.1× 65 1.5× 9 407
Kenneth A. Koeplinger United States 16 523 3.6× 78 0.7× 117 1.7× 83 1.3× 89 2.0× 23 733
C. Hänsch Germany 7 143 1.0× 87 0.8× 122 1.8× 96 1.5× 36 0.8× 16 404
Brian B. Masek United States 13 225 1.6× 200 1.8× 182 2.6× 68 1.0× 17 0.4× 18 460
V. J. van Geerestein Netherlands 9 162 1.1× 218 1.9× 66 1.0× 96 1.5× 11 0.3× 24 390

Countries citing papers authored by Ignacio Aliagas

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Aliagas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Aliagas

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

All Works

18 of 18 papers shown
1.
Aliagas, Ignacio, Alberto Gobbi, Man‐Ling Lee, & Benjamin D. Sellers. (2022). Comparison of logP and logD correction models trained with public and proprietary data sets. Journal of Computer-Aided Molecular Design. 36(3). 253–262. 18 indexed citations
2.
Fitch, William L., Cyrus Khojasteh, Ignacio Aliagas, & Kevin R. D. Johnson. (2018). Using LC Retention Times in Organic Structure Determination: Drug Metabolite Identification. Drug Metabolism Letters. 12(2). 93–100. 13 indexed citations
3.
Broccatelli, Fabio, Ignacio Aliagas, & Hao Zheng. (2018). Why Decreasing Lipophilicity Alone Is Often Not a Reliable Strategy for Extending IV Half-life. ACS Medicinal Chemistry Letters. 9(6). 522–527. 28 indexed citations
4.
Lee, Man‐Ling, Ignacio Aliagas, Jianwen A. Feng, et al.. (2017). chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery. Journal of Cheminformatics. 9(1). 38–38. 12 indexed citations
5.
Aliagas, Ignacio, Kristin Goldberg, John Reilly, et al.. (2017). Sustainable Practices in Medicinal Chemistry Part 2: Green by Design. Journal of Medicinal Chemistry. 60(14). 5955–5968. 22 indexed citations
6.
Lee, Wendy, James J. Crawford, Ignacio Aliagas, et al.. (2016). Synthesis and evaluation of a series of 4-azaindole-containing p21-activated kinase-1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 26(15). 3518–3524. 12 indexed citations
7.
Broccatelli, Fabio, Laurent Salphati, Emile G. Plise, et al.. (2016). Predicting Passive Permeability of Drug-like Molecules from Chemical Structure: Where Are We?. Molecular Pharmaceutics. 13(12). 4199–4208. 34 indexed citations
8.
Feng, Jianwen A., Ignacio Aliagas, Philippe Bergeron, et al.. (2015). An integrated suite of modeling tools that empower scientists in structure- and property-based drug design. Journal of Computer-Aided Molecular Design. 29(6). 511–523. 14 indexed citations
9.
Aliagas, Ignacio, Alberto Gobbi, Timothy P. Heffron, et al.. (2015). A probabilistic method to report predictions from a human liver microsomes stability QSAR model: a practical tool for drug discovery. Journal of Computer-Aided Molecular Design. 29(4). 327–338. 23 indexed citations
10.
Crawford, James J., Wendy Lee, Ignacio Aliagas, et al.. (2015). Structure-Guided Design of Group I Selective p21-Activated Kinase Inhibitors. Journal of Medicinal Chemistry. 58(12). 5121–5136. 29 indexed citations
11.
Rudolph, Joachim, Ignacio Aliagas, James J. Crawford, et al.. (2015). Leveraging the Pre-DFG Residue Thr-406 To Obtain High Kinase Selectivity in an Aminopyrazole-Type PAK1 Inhibitor Series. ACS Medicinal Chemistry Letters. 6(6). 711–715. 10 indexed citations
12.
13.
Ortwine, Daniel F. & Ignacio Aliagas. (2013). Physicochemical and DMPK In Silico Models: Facilitating Their Use by Medicinal Chemists. Molecular Pharmaceutics. 10(4). 1153–1161. 15 indexed citations
14.
Lee, Man‐Ling, Ignacio Aliagas, Jennafer Dotson, et al.. (2011). DEGAS: Sharing and Tracking Target Compound Ideas with External Collaborators. Journal of Chemical Information and Modeling. 52(2). 278–284. 12 indexed citations
15.
Driscoll, James P., Ignacio Aliagas, Jennifer J. Harris, et al.. (2010). Formation of a Quinoneimine Intermediate of 4-Fluoro-N-methylaniline by FMO1: Carbon Oxidation Plus Defluorination. Chemical Research in Toxicology. 23(5). 861–863. 9 indexed citations
16.
Yen, Ivana, Kyung Song, David Stokoe, et al.. (2009). Abstract B90: Understanding the effects of RAF inhibitors on RAF signaling in B-RAF V600E mutant versus wild type tumors. Molecular Cancer Therapeutics. 8(12_Supplement). B90–B90. 1 indexed citations
17.
Robarge, Kirk, Michael S. Dina, Todd C. Somers, et al.. (1998). Preparation and biological activity of novel tricyclic GPIIb/IIIa antagonists. Bioorganic & Medicinal Chemistry. 6(12). 2345–2381. 11 indexed citations
18.
Aliagas, Ignacio & Scott Gronert. (1998). Accuracy of G2 Calculations for the Reactions of Hydroxyl Radicals with Alkanes. The Journal of Physical Chemistry A. 102(15). 2609–2612. 15 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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