Andreas Verras

1.1k total citations
17 papers, 564 citations indexed

About

Andreas Verras is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Andreas Verras has authored 17 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Oncology. Recurrent topics in Andreas Verras's work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (3 papers) and Biochemical and Molecular Research (3 papers). Andreas Verras is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (3 papers) and Biochemical and Molecular Research (3 papers). Andreas Verras collaborates with scholars based in United States, Switzerland and United Kingdom. Andreas Verras's co-authors include Robert P. Sheridan, Matthew Tudor, Bharath Ramsundar, Vijay S. Pande, Bowen Liu, Zhenqin Wu, Antoine Daina, Raymonde Fonné‐Pfister, Michael Csukai and Torsten Luksch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Andreas Verras

17 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Verras United States 10 255 248 125 122 117 17 564
Janosch Achenbach Germany 11 132 0.5× 130 0.5× 78 0.6× 74 0.6× 23 0.2× 16 370
Xueping Hu China 17 188 0.7× 413 1.7× 64 0.5× 49 0.4× 45 0.4× 55 784
Tsuyoshi Esaki Japan 15 188 0.7× 339 1.4× 73 0.6× 43 0.4× 44 0.4× 26 706
Mingzhu Zhao China 19 82 0.3× 645 2.6× 439 3.5× 38 0.3× 31 0.3× 79 959
Antje Wolf Germany 10 81 0.3× 191 0.8× 51 0.4× 34 0.3× 24 0.2× 18 340
Sorin Avram Romania 13 289 1.1× 320 1.3× 34 0.3× 17 0.1× 25 0.2× 43 555
Maria Carmela Vaccaro Italy 17 53 0.2× 427 1.7× 89 0.7× 11 0.1× 33 0.3× 41 684
Francesca Perruccio United Kingdom 10 217 0.9× 425 1.7× 41 0.3× 8 0.1× 98 0.8× 12 636
Bjoern Gruening Germany 11 77 0.3× 324 1.3× 31 0.2× 18 0.1× 74 0.6× 12 479

Countries citing papers authored by Andreas Verras

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Verras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Verras

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

All Works

17 of 17 papers shown
1.
McElwee, Joshua, Neelu Kaila, Samantha Carreiro, et al.. (2023). Discovery and characterization of novel inhibitors of CTP synthase 1 (CTPS1) for the treatment of autoimmune and inflammatory disease. The Journal of Immunology. 210(Supplement_1). 165.16–165.16. 2 indexed citations
2.
Bosc, Nicolas, Eloy Félix, Ricardo Arcila, et al.. (2021). MAIP: a web service for predicting blood‐stage malaria inhibitors. Journal of Cheminformatics. 13(1). 13–13. 27 indexed citations
3.
Lynch, Eric M., Michael A. DiMattia, Steven K. Albanese, et al.. (2021). Structural basis for isoform-specific inhibition of human CTPS1. Proceedings of the National Academy of Sciences. 118(40). 28 indexed citations
4.
Soriano, Aileen, Gregory C. Adam, Andrea Basso, et al.. (2021). Discovery of the First Non-cGMP Mimetic Small Molecule Activators of cGMP-Dependent Protein Kinase 1 α (PKG1α). ACS Medicinal Chemistry Letters. 12(8). 1275–1282. 2 indexed citations
5.
Verras, Andreas, Chris L. Waller, Peter Gedeck, et al.. (2017). Shared Consensus Machine Learning Models for Predicting Blood Stage Malaria Inhibition. Journal of Chemical Information and Modeling. 57(3). 445–453. 19 indexed citations
6.
Sanders, John M., Douglas C. Beshore, Joseph Culberson, et al.. (2017). Informing the Selection of Screening Hit Series with in Silico Absorption, Distribution, Metabolism, Excretion, and Toxicity Profiles. Journal of Medicinal Chemistry. 60(16). 6771–6780. 16 indexed citations
7.
Ramsundar, Bharath, Bowen Liu, Zhenqin Wu, et al.. (2017). Is Multitask Deep Learning Practical for Pharma?. Journal of Chemical Information and Modeling. 57(8). 2068–2076. 183 indexed citations
8.
Muise, Eric S., Yonghua Zhu, Andreas Verras, et al.. (2014). Identification and Characterization of Sebaceous Gland Atrophy-Sparing DGAT1 Inhibitors. PLoS ONE. 9(2). e88908–e88908. 7 indexed citations
9.
Graham, Thomas H., Min Shu, Andreas Verras, et al.. (2014). Pyrazoles as non-classical bioisosteres in prolylcarboxypeptidase (PrCP) inhibitors. Bioorganic & Medicinal Chemistry Letters. 24(7). 1657–1660. 15 indexed citations
10.
Scalliet, Gabriel, Torsten Luksch, Michael Niklaus, et al.. (2012). Mutagenesis and Functional Studies with Succinate Dehydrogenase Inhibitors in the Wheat Pathogen Mycosphaerella graminicola. PLoS ONE. 7(4). e35429–e35429. 158 indexed citations
11.
Wu, Zhicai, Thomas H. Graham, Andreas Verras, et al.. (2012). Discovery of aminoheterocycles as potent and brain penetrant prolylcarboxypeptidase inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(4). 1727–1730. 4 indexed citations
12.
Sherer, Edward C., Andreas Verras, Maria Madeira, et al.. (2012). QSAR Prediction of Passive Permeability in the LLC‐PK1 Cell Line: Trends in Molecular Properties and Cross‐Prediction of Caco‐2 Permeabilities. Molecular Informatics. 31(3-4). 231–245. 28 indexed citations
13.
Dykstra, Kevin D., Dorothy Levorse, Andreas Verras, et al.. (2011). Synthesis of oxaspiropiperidines as a strategy for lowering logD. Tetrahedron Letters. 52(48). 6457–6459. 2 indexed citations
14.
Zhao, Xuemei, Katie Southwick, Helene L. Cardasis, et al.. (2010). Peptidomic profiling of human cerebrospinal fluid identifies YPRPIHPA as a novel substrate for prolylcarboxypeptidase. PROTEOMICS. 10(15). 2882–2886. 8 indexed citations
15.
Verras, Andreas, Akram Alian, & P.R. Ortiz de Montellano. (2006). Cytochrome P450 active site plasticity: attenuation of imidazole binding in cytochrome P450cam by an L244A mutation. Protein Engineering Design and Selection. 19(11). 491–496. 22 indexed citations
16.
Verras, Andreas & P.R. Ortiz de Montellano. (2006). Protein dynamics and imidazole binding in cytochrome P450 enzymes. Biochemical Society Transactions. 34(6). 1170–1172. 6 indexed citations
17.
Verras, Andreas, Irwin D. Kuntz, & Paul R. Ortiz de Montellano. (2004). Computer-Assisted Design of Selective Imidazole Inhibitors for Cytochrome P450 Enzymes. Journal of Medicinal Chemistry. 47(14). 3572–3579. 37 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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