Thierry Hanser

666 total citations
16 papers, 341 citations indexed

About

Thierry Hanser is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Thierry Hanser has authored 16 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 6 papers in Materials Chemistry and 5 papers in Molecular Biology. Recurrent topics in Thierry Hanser's work include Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (6 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Thierry Hanser is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (6 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Thierry Hanser collaborates with scholars based in United Kingdom, Germany and Switzerland. Thierry Hanser's co-authors include Chris Barber, Jonathan D. Vessey, Philip N. Judson, Garrett M. Morris, Renaud Lambiotte, Brendan J. Howlin, Paul Krause, Edward Rosser, Richard D. Williams and Valerie J. Gillet and has published in prestigious journals such as Chemical Research in Toxicology, Journal of Chemical Information and Modeling and Regulatory Toxicology and Pharmacology.

In The Last Decade

Thierry Hanser

16 papers receiving 305 citations

Peers

Thierry Hanser

CTM

HTM

Zheng Du China

Oliver Sacher Germany

Sampada A. Shahane United States

Huan Hu China

Andreas Maunz Switzerland

Christof H. Schwab Germany

Heather L. Ciallella United States

Jennifer Hemmerich Austria

Zimo Yin China

Zheng Du China

Thierry Hanser

235 ×1.0

CTM

139 ×1.1

51 ×0.8

18 ×0.6

19 ×0.7

HTM

Citations per year, relative to Thierry Hanser Thierry Hanser (= 1×) peers Zheng Du

Countries citing papers authored by Thierry Hanser

Since Specialization

Citations

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

Fields of papers citing papers by Thierry Hanser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thierry Hanser

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

All Works

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16 of 16 papers shown

Hanser, Thierry, et al.. (2024). Sort & Slice: a simple and superior alternative to hash-based folding for extended-connectivity fingerprints. Journal of Cheminformatics. 16(1). 135–135. 3 indexed citations

Barber, Chris, et al.. (2024). From model performance to decision support – The rise of computational toxicology in chemical safety assessments. Computational Toxicology. 31. 100303–100303. 2 indexed citations

Guesné, Sébastien, et al.. (2024). Mind your prevalence!. Journal of Cheminformatics. 16(1). 43–43. 8 indexed citations

Hanser, Thierry, et al.. (2023). Exploring QSAR models for activity-cliff prediction. Journal of Cheminformatics. 15(1). 47–47. 28 indexed citations

Smit, Ines, Avid M. Afzal, Chad H. G. Allen, et al.. (2020). Systematic Analysis of Protein Targets Associated with Adverse Events of Drugs from Clinical Trials and Postmarketing Reports. Chemical Research in Toxicology. 34(2). 365–384. 14 indexed citations

Hanser, Thierry, et al.. (2019). Avoiding hERG-liability in drug design via synergetic combinations of different (Q)SAR methodologies and data sources: a case study in an industrial setting. Journal of Cheminformatics. 11(1). 9–9. 19 indexed citations

Barber, Chris, Thierry Hanser, Philip N. Judson, & Richard D. Williams. (2017). Distinguishing between expert and statistical systems for application under ICH M7. Regulatory Toxicology and Pharmacology. 84. 124–130. 25 indexed citations

Hanser, Thierry, et al.. (2016). Applicability domain: towards a more formal definition. SAR and QSAR in environmental research. 27(11). 865–881. 90 indexed citations

Barber, Chris, Thierry Hanser, Jonathan D. Vessey, et al.. (2015). Evaluation of a statistics-based Ames mutagenicity QSAR model and interpretation of the results obtained. Regulatory Toxicology and Pharmacology. 76. 7–20. 35 indexed citations

10.

Hanser, Thierry, et al.. (2014). Self organising hypothesis networks: a new approach for representing and structuring SAR knowledge. Journal of Cheminformatics. 6(1). 21–21. 34 indexed citations

11.

Hanser, Thierry, et al.. (2014). Feature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity. Journal of Cheminformatics. 6(1). 8–8. 28 indexed citations

12.

Judson, Philip N., et al.. (2014). Emerging Pattern Mining To Aid Toxicological Knowledge Discovery. Journal of Chemical Information and Modeling. 54(7). 1864–1879. 23 indexed citations

13.

Gillet, Valerie J., et al.. (2013). Toxicological knowledge discovery by mining emerging patterns from toxicity data. Journal of Cheminformatics. 5(S1). 7 indexed citations

14.

Hanser, Thierry, et al.. (1990). Machine learning of generic reactions: 2. toward an advanced computer representation of chemical reactions. 3(6). 335–349. 7 indexed citations

15.

Hanser, Thierry, et al.. (1990). Machine learning of generic reactions: 3. an efficient algorithm for maximal common substructure determination. 3(6). 351–358. 11 indexed citations

16.

Hanser, Thierry, et al.. (1990). Machine learning of generic reactions: 1. Scope of the project; the GRAMS program. 3(6). 323–333. 7 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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