Alexios Koutsoukas

1.3k total citations
26 papers, 906 citations indexed

About

Alexios Koutsoukas is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Alexios Koutsoukas has authored 26 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Theory and Mathematics, 19 papers in Molecular Biology and 7 papers in Pharmacology. Recurrent topics in Alexios Koutsoukas's work include Computational Drug Discovery Methods (25 papers), Machine Learning in Materials Science (7 papers) and Microbial Natural Products and Biosynthesis (6 papers). Alexios Koutsoukas is often cited by papers focused on Computational Drug Discovery Methods (25 papers), Machine Learning in Materials Science (7 papers) and Microbial Natural Products and Biosynthesis (6 papers). Alexios Koutsoukas collaborates with scholars based in United Kingdom, United States and Malaysia. Alexios Koutsoukas's co-authors include Jun Huan, Xiaoli Li, Robert C. Glen, Andreas Bender, C. David Sherrill, Johannes Kirchmair, Daniel L. Cheney, Robert Lowe, Malcolm P. Young and Alan V. Whitmore and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Science and Current Pharmaceutical Design.

In The Last Decade

Alexios Koutsoukas

25 papers receiving 888 citations

Peers

Countries citing papers authored by Alexios Koutsoukas

Since Specialization

Citations

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

Fields of papers citing papers by Alexios Koutsoukas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexios Koutsoukas

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

#	Work	Indexed citations
1	A physics-aware neural network for protein–ligand interactions with quantum chemical accuracy 2024 ·Chemical Science ·Zachary L. Glick, (unknown), (unknown), Steven A. Spronk, Alexios Koutsoukas, Daniel L. Cheney, C. David Sherrill	5
2	Cartesian message passing neural networks for directional properties: Fast and transferable atomic multipoles 2021 ·The Journal of Chemical Physics ·Zachary L. Glick, Alexios Koutsoukas, Daniel L. Cheney, C. David Sherrill	17
3	CLIFF: A component-based, machine-learned, intermolecular force field 2021 ·The Journal of Chemical Physics ·Jeffrey B. Schriber, Daniel R. Nascimento, Alexios Koutsoukas, Steven A. Spronk, Daniel L. Cheney, C. David Sherrill	27
4	Approaches for machine learning intermolecular interaction energies and application to energy components from symmetry adapted perturbation theory 2020 ·The Journal of Chemical Physics ·(unknown), Alexios Koutsoukas, Steven A. Spronk, (unknown), Deborah A. Loughney, Stephen R. Johnson, Daniel L. Cheney, C. David Sherrill	29
5	In-Silico Extraction of Design Ideas Using MMPA-by-QSAR and its Application on ADME Endpoints 2018 ·Journal of Chemical Information and Modeling ·Alexios Koutsoukas, George Chang, Christopher Keefer	9
6	Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data 2017 ·Journal of Cheminformatics ·Alexios Koutsoukas, (unknown), Xiaoli Li, Jun Huan	231
7	Predictive Toxicology: Modeling Chemical Induced Toxicological Response Combining Circular Fingerprints with Random Forest and Support Vector Machine 2016 ·Frontiers in Environmental Science ·Alexios Koutsoukas, (unknown), (unknown), Jun Huan	21
8	Improving the prediction of organism-level toxicity through integration of chemical, protein target and cytotoxicity qHTS data 2016 ·Toxicology Research ·Chad H. G. Allen, Alexios Koutsoukas, Isidro Cortés‐Ciriano, (unknown), Thérèse E. Malliavin, Robert C. Glen, Andreas Bender	9
9	Comparing Global and Local Likelihood Score Thresholds in Multiclass Laplacian-Modified Naive Bayes Protein Target Prediction 2015 ·Combinatorial Chemistry & High Throughput Screening ·(unknown), Alexios Koutsoukas, Suzanne Brewerton, Michael J. Bodkin, David A. Evans, Andreas Bender	6
10	Chemoghemogenomics approaches in rationalizing compound action of traditional Chinese and Ayurvedic medicines 2014 ·European Journal of Integrative Medicine ·Fazlin Mohd Fauzi, Alexios Koutsoukas, (unknown), Kalpana Joshi, Tai-Ping Fan, Andreas Bender	0
11	Linking Ayurveda and Western medicine by integrative analysis 2013 ·Journal of Ayurveda and Integrative Medicine ·Andreas Bender, Fazlin Mohd Fauzi, Alexios Koutsoukas, Robert Lowe, Kalpana Joshi, Tai-Ping Fan, Robert C. Glen	6
12	Computer‐aided (in silico) approaches in the mode‐of‐action analysis and safety assessment of Ostarine and 4‐methylamphetamine 2013 ·Human Psychopharmacology Clinical and Experimental ·Fazlin Mohd Fauzi, Alexios Koutsoukas, Andrew Cunningham, Ana Gallegos, Roumen Sedefov, Andreas Bender	2
13	Diversity Selection of Compounds Based on ‘Protein Affinity Fingerprints’ Improves Sampling of Bioactive Chemical Space 2013 ·Chemical Biology & Drug Design ·(unknown), Alexios Koutsoukas, Fazlin Mohd Fauzi, (unknown), Mateusz Maciejewski, Robert C. Glen, Andreas Bender	12
14	Using machine learning techniques for rationalising phenotypic readouts from a rat sleeping model 2013 ·Journal of Cheminformatics ·(unknown), Alexios Koutsoukas, Suzanne Brewerton, (unknown), Andreas Bender	3
15	Chemogenomics approaches to rationalising compound action of traditional Chinese and Ayurvedic medicines 2013 ·Journal of Cheminformatics ·Fazlin Mohd Fauzi, Alexios Koutsoukas, (unknown), Kalpana Joshi, Tai-Ping Fan, Andreas Bender	2
16	How Diverse Are Diversity Assessment Methods? A Comparative Analysis and Benchmarking of Molecular Descriptor Space 2013 ·Journal of Chemical Information and Modeling ·Alexios Koutsoukas, Shardul Paricharak, Warren R. J. D. Galloway, David R. Spring, Adriaan P. IJzerman, Robert C. Glen, David Marcus, Andreas Bender	65
17	Anti-cancer Drug Development: Computational Strategies to Identify and Target Proteins Involved in Cancer Metabolism 2012 ·Current Pharmaceutical Design ·Lora Mak, Sonia Liggi, Lu Tan, Kanthida Kusonmano, Judith M. Rollinger, Alexios Koutsoukas, Robert C. Glen, Johannes Kirchmair	24
18	Anti-cancer Drug Development: Computational Strategies to Identify and Target Proteins Involved in Cancer Metabolism 2012 ·Current Pharmaceutical Design ·Lora Mak, Sonia Liggi, Lu Tan, (unknown), Judith M. Rollinger, Alexios Koutsoukas, Robert C. Glen, Johannes Kirchmair	2
19	Experimental validation of in silico target predictions on synergistic protein targets 2012 ·MedChemComm ·Isidro Cortés‐Ciriano, Alexios Koutsoukas, Olga Abián, Robert C. Glen, Adrián Velázquez‐Campoy, Andreas Bender	7
20	From in silico target prediction to multi-target drug design: Current databases, methods and applications 2011 ·Journal of Proteomics ·Alexios Koutsoukas, B. T. Simms, Johannes Kirchmair, Peter J. Bond, Alan V. Whitmore, (unknown), Malcolm P. Young, Jeremy L. Jenkins, Meir Glick, Robert C. Glen, Andreas Bender	204

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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