Jörg K. Wegner
Jörg K. Wegner publishes mostly in Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Protein Structure and Dynamics.
- World rank
- #313,251 of 7,710,434 ranked researchers
- Rank in Belgium
- #2,496 of 67,186
- Works
- 114
- Citations
- 4.3k
- Citations per work
- 37.4
What does Jörg K. Wegner research?
Jörg K. Wegner's work is mostly in Computer Science (29%), Biochemistry, Genetics and Molecular Biology (19%), Materials Science (14%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences5850.9%
- Computer Science3328.6%
- Materials Science1614.1%
- Chemistry54.1%
- Engineering54.1%
- Everything else3430.0%
- Life Sciences2219.1%
- 1Computational Theory and Mathematics23% of their works
- 2Molecular Biology19% of their works
- 3Materials Chemistry14% of their works
- 4Artificial Intelligence5% of their works
- 5Biomedical Engineering4% of their works
- 6Spectroscopy4% of their works
Research topics
- Computational Drug Discovery Methods
- Machine Learning in Materials Science
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Innovative Microfluidic and Catalytic Techniques Innovation
- Analytical Chemistry and Chromatography
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
Which keywords describe Jörg K. Wegner's research?
The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Molecular Dynamics, High-Throughput, Materials Informatics, Prediction and Protein.
- Protein-Protein Interaction Networks
- Mass Spectrometry
- Liquid Chromatography
- Subcellular Localization
- Droplet Formation
- Structure
- Protein
- Materials Informatics
- Molecular Dynamics
- Molecular Docking
- Machine Learning
- Virtual Screening
- High-Throughput
- Prediction
- Force Field
- Amino Acid Composition
- Microfluidics
- Chiral Separation
- Gene Set Enrichment Analysis
- Metabolomics
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 20 words, with their numbers
- Machine Learning973 topics
- Molecular Docking561 topic
- Virtual Screening561 topic
- Molecular Dynamics432 topics
- High-Throughput331 topic
- Materials Informatics331 topic
- Prediction182 topics
- Protein182 topics
- Force Field101 topic
- Structure101 topic
- Amino Acid Composition81 topic
- Droplet Formation81 topic
- Microfluidics81 topic
- Subcellular Localization81 topic
- Chiral Separation71 topic
- Liquid Chromatography71 topic
- Gene Set Enrichment Analysis61 topic
- Mass Spectrometry61 topic
- Metabolomics61 topic
- Protein-Protein Interaction Networks61 topic
Where does Jörg K. Wegner work?
Jörg K. Wegner's main affiliation in the publication record is Janssen (Belgium), Belgium.
How many publications and citations does Jörg K. Wegner have?
OpenAlex counts 114 works and 4,258 citations for Jörg K. Wegner, an h-index of 32, ranking #313,251 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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