Joerg Wichard

2.3k citations

38 papers · 1.1k indexed · 1 hit paper · h-index 17

Impact in

Computational Theory and Mathematics top 1%
- Computational Drug Discovery Methods
Chemical Health and Safety top 10%

Papers in

Computational Theory and Mathematics 20
- Computational Drug Discovery Methods 17
Signal Processing 7
- Time Series Analysis and Forecasting 7

Co-authors: David Rouquié Oscar Méndez‐Lucio Benoît Baillif Djork-Arné Clevert Maciej Ogorzałek Antonius ter Laak Ronald Kühne Andreas H. Göller
Journals: Regulatory Toxicology and Pharmacology (4 papers)International Journal of Molecular Sciences (2 papers)Chemical Research in Toxicology (2 papers)PLoS ONE (2 papers)Journal of Dairy Science (2 papers)
Partner nations: Germany Poland Switzerland

In The Last Decade

Joerg Wichard

38 papers receiving 1.0k citations

Hit Papers

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De novo generation of hit-like molecules from gene expression signatures using artificial intelligence 2020 · 283 citations

Peers

Countries citing papers authored by Joerg Wichard

Since Specialization

Citations

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

Fields of papers citing papers by Joerg Wichard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joerg Wichard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joerg Wichard Line = papers co-authored together Joerg Wichard links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Cell morphology-guided de novo hit design by conditioning GANs on phenotypic image features Digital Discovery ·Paula Andrea Marin Zapata, Oscar Méndez‐Lucio, Tuan Le, Carsten Jörn Beese, Joerg Wichard, David Rouquié, Djork-Arné Clevert	2022	12
2	Aspects of transition cow metabolomics—Part III: Alterations in the metabolome of liver and blood throughout the transition period in cows with different liver metabotypes Journal of Dairy Science ·Melanie Schären, Björn Riefke, Markus Slopianka, M. Keck, S. Gruendemann, Joerg Wichard, Nikolaus Brunner, Stefan Klein, Teja Snedec, Kirsten Theinert, Fabian Pietsch, Fanny Rachidi, G. Köller, Erik Bannert, Joachim Spilke, A. Starke	2021	22
3	Bayer’s in silico ADMET platform: a journey of machine learning over the past two decades Drug Discovery Today ·Andreas H. Göller, Lara Kuhnke, Floriane Montanari, Anne Bonin, Sebastian Schneckener, Antonius ter Laak, Joerg Wichard, Mario Lobell, Alexander Hillisch	2020	119
4	De novo generation of hit-like molecules from gene expression signatures using artificial intelligence Nature Communications ·Oscar Méndez‐Lucio, Benoît Baillif, Djork-Arné Clevert, David Rouquié, Joerg Wichard Hit paper breakdown →	2020	283
5	Exploring the Use of Compound-Induced Transcriptomic Data Generated From Cell Lines to Predict Compound Activity Toward Molecular Targets Frontiers in Chemistry ·Benoît Baillif, Joerg Wichard, Oscar Méndez‐Lucio, David Rouquié	2020	19
6	Genotoxicity Assessment of Drug Metabolites in the Context of MIST and Beyond Chemical Research in Toxicology ·Andreas Zeller, Alessandro Brigo, Andreas Brink, Melanie Guérard, Dieter Lang, Wolfgang Muster, Frank Runge, Andreas Sutter, Esther Vock, Joerg Wichard, Simone Schadt	2019	9
7	In silico prediction of genotoxicity Food and Chemical Toxicology ·Joerg Wichard	2016	21
8	It's difficult, but important, to make negative predictions Regulatory Toxicology and Pharmacology ·Richard V. Williams, Alexander Amberg, Alessandro Brigo, Laurence Coquin, Amanda Giddings, Susanne Glowienke, Nigel Greene, Robert A. Jolly, Ray Kemper, C. O'Leary-Steele, Alexis Parenty, Hans-Peter Spirkl, S. A. Stalford, Sandy Weiner, Joerg Wichard	2016	43
9	A practical application of two in silico systems for identification of potentially mutagenic impurities Regulatory Toxicology and Pharmacology ·Nigel Greene, Krista L. Dobo, Michelle Kenyon, Jennifer Cheung, Jennifer B. Munzner, Zhanna Sobol, Gregory W. Sluggett, Todd Zelesky, Andreas Sutter, Joerg Wichard	2015	32
10	Establishing best practise in the application of expert review of mutagenicity under ICH M7 Regulatory Toxicology and Pharmacology ·Chris Barber, Alexander Amberg, Laura Custer, Krista L. Dobo, Susanne Glowienke, Jacky Van Gompel, Steve Gutsell, Jim Harvey, Masamitsu Honma, Michelle Kenyon, Naomi L. Kruhlak, Wolfgang Muster, Lidiya Stavitskaya, Andrew Teasdale, Jonathan D. Vessey, Joerg Wichard	2015	51
11	Evaluation of a statistics-based Ames mutagenicity QSAR model and interpretation of the results obtained Regulatory Toxicology and Pharmacology ·Chris Barber, Alex Cayley, Thierry Hanser, A. P. Harding, Crina Hegheş, Jonathan D. Vessey, Stéphane Werner, Sandy Weiner, Joerg Wichard, Amanda Giddings, Susanne Glowienke, Alexis Parenty, Alessandro Brigo, Hans-Peter Spirkl, Alexander Amberg, Ray Kemper, Nigel Greene	2015	35
12	Molecular Evolution of a Peptide GPCR Ligand Driven by Artificial Neural Networks PLoS ONE ·Sebastian Bandholtz, Joerg Wichard, Ronald Kühne, Carsten Grötzinger	2012	14
13	Inroads to Predict in Vivo Toxicology—An Introduction to the eTOX Project International Journal of Molecular Sciences ·Katharine Briggs, Montserrat Cases, David Heard, Manuel Pastor, François Pognan, Ferrán Sanz, Christof H. Schwab, Thomas Steger‐Hartmann, Andreas Sutter, David K. Watson, Joerg Wichard	2012	36
14	Chemogenomic Analysis of G-Protein Coupled Receptors and Their Ligands Deciphers Locks and Keys Governing Diverse Aspects of Signalling PLoS ONE ·Joerg Wichard, Antonius ter Laak, Gerd Krause, Nikolaus Heinrich, Ronald Kühne, Gunnar Kleinau	2011	24
15	Forecasting the NN5 time series with hybrid models International Journal of Forecasting ·Joerg Wichard	2010	39
16	Design of chemical libraries with potentially bioactive molecules applying a maximum common substructure concept Molecular Diversity ·Michael Lisurek, Bernd Rupp, Joerg Wichard, Martin Neuenschwander, Jens Peter von Kries, Ronald Frank, Jörg Rademann, Ronald Kühne	2009	59
17	Classification Models for Early Detection of Prostate Cancer BioMed Research International ·Joerg Wichard, Henning Cammann, Carsten Stephan, Thomas Tolxdorff	2008	15
18	Time series prediction with ensemble models applied to the CATS benchmark Neurocomputing ·Joerg Wichard, Maciej Ogorzałek	2007	18
19	Model Selection in an Ensemble Framework The 2006 IEEE International Joint Conference on Neural Network Proceedings ·Joerg Wichard	2006	9
20	Finite iteration DT-CNN with stationary templates Perceptual and Motor Skills ·Joerg Wichard, Maciej Ogorzałek, Christian Merkwirth, Jochen Bröcker	2004	3

About Joerg Wichard

Joerg Wichard is a scholar working on Computational Theory and Mathematics, Signal Processing, Small Animals, Cancer Research and Artificial Intelligence, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Neural Networks and Applications (10 papers), Time Series Analysis and Forecasting (7 papers), Carcinogens and Genotoxicity Assessment (6 papers), Chemical Synthesis and Analysis (4 papers), Analytical Chemistry and Chromatography (3 papers), Machine Learning in Materials Science (3 papers) and Animal testing and alternatives (3 papers). The work is most often cited by research in Computational Theory and Mathematics (481 citations), Chemical Health and Safety (10 citations), Biophysics (45 citations), Small Animals (52 citations) and Pharmacology (56 citations). Joerg Wichard has collaborated with scholars based in Germany, Poland and Switzerland. Frequent co-authors include David Rouquié, Oscar Méndez‐Lucio, Benoît Baillif, Djork-Arné Clevert, Maciej Ogorzałek, Antonius ter Laak, Ronald Kühne, Andreas H. Göller, Alexander Hillisch and Lara Kuhnke. Their work appears in journals such as Regulatory Toxicology and Pharmacology, International Journal of Molecular Sciences, Chemical Research in Toxicology, PLoS ONE and Journal of Dairy Science.

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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