Oliver Sacher

558 total citations
15 papers, 388 citations indexed

About

Oliver Sacher is a scholar working on Computational Theory and Mathematics, Molecular Biology and Small Animals. According to data from OpenAlex, Oliver Sacher has authored 15 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 2 papers in Small Animals. Recurrent topics in Oliver Sacher's work include Computational Drug Discovery Methods (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Machine Learning in Bioinformatics (2 papers). Oliver Sacher is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Machine Learning in Bioinformatics (2 papers). Oliver Sacher collaborates with scholars based in Germany, United Kingdom and United States. Oliver Sacher's co-authors include Johann Gasteiger, Bruno Bienfait, Chihae Yang, James F. Rathman, Tomasz Magdziarz, Christof H. Schwab, Ann M. Richard, Andrew Worth, Lothar Terfloth and Kirk Arvidson and has published in prestigious journals such as PLoS ONE, Chemical Research in Toxicology and Organic & Biomolecular Chemistry.

In The Last Decade

Oliver Sacher

14 papers receiving 370 citations

Peers

Oliver Sacher

CTM

HTM

Christof H. Schwab Germany

Qingda Zang United States

Tomasz Magdziarz Poland

Sampada A. Shahane United States

Heather L. Ciallella United States

Claire L. Mellor United Kingdom

Angela White United Kingdom

Thierry Hanser United Kingdom

John Nicolette United States

Christof H. Schwab Germany

Oliver Sacher

279 ×1.3

CTM

184 ×1.0

56 ×1.0

HTM

64 ×1.2

52 ×1.1

Citations per year, relative to Oliver Sacher Oliver Sacher (= 1×) peers Christof H. Schwab

Countries citing papers authored by Oliver Sacher

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Sacher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Sacher

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

All Works

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15 of 15 papers shown

Rathman, James F., Chihae Yang, Aleksandra Mostrąg, et al.. (2020). Development of a Battery of In Silico Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment. Chemical Research in Toxicology. 34(2). 601–615. 10 indexed citations

Benigni, Romualdo, Rositsa Serafimova, Juan Manuel Parra Morte, et al.. (2020). Evaluation of the applicability of existing (Q)SAR models for predicting the genotoxicity of pesticides and similarity analysis related with genotoxicity of pesticides for facilitating of grouping and read across: An EFSA funded project. Regulatory Toxicology and Pharmacology. 114. 104658–104658. 31 indexed citations

Yang, Chihae, Bruno Bienfait, M Cronin, et al.. (2018). ToxGPS, a solution guiding read-across workflow based on chemoinformatics and safety assessment. Toxicology Letters. 295. S104–S105. 1 indexed citations

Vitcheva, Vessela, Aleksandra Mostrąg, Oliver Sacher, et al.. (2015). In vivo data mining and in silico metabolic profiling to predict diverse hepatotoxic phenotypes: Case study of piperonyl butoxide. Toxicology Letters. 238(2). S173–S173. 1 indexed citations

Yang, Chihae, Bruno Bienfait, Johann Gasteiger, et al.. (2015). New Publicly Available Chemical Query Language, CSRML, To Support Chemotype Representations for Application to Data Mining and Modeling. Journal of Chemical Information and Modeling. 55(3). 510–528. 155 indexed citations

Liu, Mengjin, Bruno Bienfait, Oliver Sacher, et al.. (2014). Combining Chemoinformatics with Bioinformatics: In Silico Prediction of Bacterial Flavor-Forming Pathways by a Chemical Systems Biology Approach “Reverse Pathway Engineering”. PLoS ONE. 9(1). e84769–e84769. 31 indexed citations

Schwöbel, Johannes, Bruno Bienfait, Johann Gasteiger, et al.. (2012). Quantifying intrinsic chemical reactivity of molecular structural features for protein binding and reactive toxicity, using the MOSES chemoinformatics system. Journal of Cheminformatics. 4(S1). 1 indexed citations

Hu, Xiaoying, Aixia Yan, Tianwei Tan, Oliver Sacher, & Johann Gasteiger. (2010). Similarity Perception of Reactions Catalyzed by Oxidoreductases and Hydrolases Using Different Classification Methods. Journal of Chemical Information and Modeling. 50(6). 1089–1100. 15 indexed citations

Sacher, Oliver, et al.. (2009). Investigations of Enzyme-Catalyzed Reactions Based on Physicochemical Descriptors Applied to Hydrolases. Journal of Chemical Information and Modeling. 49(6). 1525–1534. 20 indexed citations

10.

Apostolakis, Joannis, Oliver Sacher, Robert Körner, & Johann Gasteiger. (2008). Automatic Determination of Reaction Mappings and Reaction Center Information. 2. Validation on a Biochemical Reaction Database. Journal of Chemical Information and Modeling. 48(6). 1190–1198. 23 indexed citations

11.

Sacher, Oliver. (2007). Eintrag ins Logbuch der Chemie, Sternzeit …. Nachrichten aus der Chemie. 55(6). 650–652. 1 indexed citations

12.

Gasteiger, Johann, et al.. (2006). Analyzing Biochemical Pathways Using Neural Networks and Genetic Algorithms. Australian Journal of Chemistry. 59(12). 854–858. 1 indexed citations

13.

Sacher, Oliver, et al.. (2004). Enabling the exploration of biochemical pathways. Organic & Biomolecular Chemistry. 2(22). 3226–3237. 41 indexed citations

14.

Gasteiger, Johann, et al.. (2000). Computer-assisted synthesis and reaction planning in combinatorial chemistry. Perspectives in Drug Discovery and Design. 20(1). 245–264. 22 indexed citations

15.

Satoh, Hiroko, et al.. (1998). Classification of Organic Reactions: Similarity of Reactions Based on Changes in the Electronic Features of Oxygen Atoms at the Reaction Sites. Journal of Chemical Information and Computer Sciences. 38(2). 210–219. 35 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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