Joël Freyss
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Organic Chemistry top 5%
- Synthesis and biological activity
- Synthesis and Biological Evaluation
- Click Chemistry and Applications
Papers in
-
- Bioinformatics and Genomic Networks 2
- Protein Structure and Dynamics 2
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Computational Drug Discovery Methods 5
- Co-authors
- Modest von Korff (6 shared papers)Thomas Sander (6 shared papers)Enrico Vezzali (1 shared paper)Anna K. Stalder (1 shared paper)Edgar Weber (1 shared paper)Manuel Stritt (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Journal of Cheminformatics (1 paper)Expert Opinion on Drug Discovery (1 paper)
- Partner nations
- Switzerland
In The Last Decade
Joël Freyss
7 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computational Theory and Mathematics 704
- Organic Chemistry 480
- Toxicology 49
- Pharmacology 118
- Pharmacology 221
Countries citing papers authored by Joël Freyss
This map shows the geographic impact of Joël Freyss'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 Joël Freyss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joël Freyss more than expected).
Fields of papers citing papers by Joël Freyss
This network shows the impact of papers produced by Joël Freyss. 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 Joël Freyss. The network helps show where Joël Freyss may publish in the future.
Co-authors
The 6 scholars most cited alongside Joël Freyss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | DataWarrior: An Open-Source Program For Chemistry Aware Data Visualization And Analysis Hit paper breakdown → | 2015 | 1278 |
| 2 | 2009 | 214 | |
| 3 | 2009 | 69 | |
| 4 | 2019 | 32 | |
| 5 | 2008 | 31 | |
| 6 | Supervised Machine Learning Methods for Quantification of Pulmonary Fibrosis. | 2011 | 5 |
| 7 | 2010 | 1 |
About Joël Freyss
Joël Freyss is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Computer Networks and Communications and Pharmacology, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (2 papers), Protein Structure and Dynamics (2 papers), Advanced Text Analysis Techniques (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Scientific Computing and Data Management (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (704 citations), Organic Chemistry (480 citations), Toxicology (49 citations), Pharmacology (118 citations) and Pharmacology (221 citations). Joël Freyss has collaborated with scholars based in Switzerland. Frequent co-authors include Modest von Korff, Thomas Sander, Enrico Vezzali, Anna K. Stalder, Edgar Weber and Manuel Stritt. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics and Expert Opinion on Drug Discovery.
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.