Sara Szymkuć
Sara Szymkuć 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 Chemical Synthesis and Analysis.
- World rank
- #651,645 of 7,710,434 ranked researchers
- Rank in Poland
- #4,116 of 100,960
- Works
- 49
- Citations
- 2.7k
- Citations per work
- 54.9
What does Sara Szymkuć research?
Sara Szymkuć's work is mostly in Computer Science (23%), Biochemistry, Genetics and Molecular Biology (17%), Materials Science (15%).
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 Sciences2653.3%
- Computer Science1122.6%
- Materials Science714.6%
- Chemistry59.5%
- Engineering36.6%
- Everything else1224.1%
- Life Sciences917.5%
- Health Sciences25.1%
- Medicine25.1%
- 1Computational Theory and Mathematics23% of their works
- 2Molecular Biology18% of their works
- 3Materials Chemistry15% of their works
- 4Organic Chemistry10% of their works
- 5Biomedical Engineering7% of their works
- 6Pharmacology5% of their works
Research topics
- Computational Drug Discovery Methods
- Machine Learning in Materials Science
- Chemical Synthesis and Analysis
- Microbial Natural Products and Biosynthesis
- Innovative Microfluidic and Catalytic Techniques Innovation
- Chemistry and Chemical Engineering
- Protein Structure and Dynamics
- Gene Regulatory Network Analysis
Which keywords describe Sara Szymkuć's research?
The keywords of their largest research topics: Machine Learning, Medicinal Chemistry, Molecular Docking, Virtual Screening, Molecular Dynamics, High-Throughput, Materials Informatics and Drug Discovery.
- Gene Regulatory Networks
- Protein
- Solvent Selection
- Droplet Formation
- Natural Products
- Peptide Synthesis
- Drug Discovery
- High-Throughput
- Virtual Screening
- Medicinal Chemistry
- Machine Learning
- Molecular Docking
- Molecular Dynamics
- Materials Informatics
- Foldamers
- Single-Cell Analysis
- Secondary Metabolites
- Microfluidics
- Sustainable Chemistry
- Structure
- Stochastic Gene Expression
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.
All 21 words, with their numbers
- Machine Learning512 topics
- Medicinal Chemistry352 topics
- Molecular Docking311 topic
- Virtual Screening311 topic
- Molecular Dynamics232 topics
- High-Throughput201 topic
- Materials Informatics201 topic
- Drug Discovery182 topics
- Foldamers111 topic
- Peptide Synthesis111 topic
- Single-Cell Analysis82 topics
- Natural Products71 topic
- Secondary Metabolites71 topic
- Droplet Formation61 topic
- Microfluidics61 topic
- Solvent Selection41 topic
- Sustainable Chemistry41 topic
- Protein31 topic
- Structure31 topic
- Gene Regulatory Networks21 topic
- Stochastic Gene Expression21 topic
Where does Sara Szymkuć work?
Sara Szymkuć's main affiliation in the publication record is Institute of Organic Chemistry, Poland.
How many publications and citations does Sara Szymkuć have?
OpenAlex counts 49 works and 2,688 citations for Sara Szymkuć, an h-index of 21, ranking #651,645 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised 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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