Ola Spjuth
Ola Spjuth publishes mostly in Molecular Biology, Computational Theory and Mathematics and Biophysics, on topics such as Computational Drug Discovery Methods, Cell Image Analysis Techniques and Scientific Computing and Data Management.
- World rank
- #204,945 of 7,710,434 ranked researchers
- Rank in Sweden
- #2,207 of 71,437
- Works
- 293
- Citations
- 6.1k
- Citations per work
- 20.7
What does Ola Spjuth research?
Ola Spjuth's work is mostly in Biochemistry, Genetics and Molecular Biology (32%), Computer Science (19%), Decision Sciences (7%).
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
- Everything else11137.9%
- Life Sciences9432.1%
- Physical Sciences6823.3%
- Computer Science5719.3%
- Chemistry124.0%
- Social Sciences206.7%
- Decision Sciences206.7%
- 1Molecular Biology22% of their works
- 2Computational Theory and Mathematics13% of their works
- 3Biophysics10% of their works
- 4Information Systems and Management7% of their works
- 5Artificial Intelligence6% of their works
- 6Spectroscopy4% of their works
Research topics
- Computational Drug Discovery Methods
- Cell Image Analysis Techniques
- Scientific Computing and Data Management
- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Materials Science
- Genetics, Bioinformatics, and Biomedical Research
- Pharmacogenetics and Drug Metabolism
- Analytical Chemistry and Chromatography
Which keywords describe Ola Spjuth's research?
The keywords of their largest research topics: Machine Learning, Pharmacokinetics, Molecular Docking, Virtual Screening, Bioinformatics, Bioimage Analysis, High-Content Screening and Genomics.
- Pharmacogenetics
- Cytochrome P450
- Training
- Materials Informatics
- Metabolomics
- Scientific Workflows
- Genomics
- Bioimage Analysis
- Virtual Screening
- Pharmacokinetics
- Machine Learning
- Molecular Docking
- Bioinformatics
- High-Content Screening
- Reproducibility
- Mass Spectrometry
- High-Throughput
- Education
- Chiral Separation
- Liquid Chromatography
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 Learning1673 topics
- Pharmacokinetics1042 topics
- Molecular Docking861 topic
- Virtual Screening861 topic
- Bioinformatics642 topics
- Bioimage Analysis601 topic
- High-Content Screening601 topic
- Genomics482 topics
- Reproducibility451 topic
- Scientific Workflows451 topic
- Mass Spectrometry291 topic
- Metabolomics291 topic
- High-Throughput211 topic
- Materials Informatics211 topic
- Education191 topic
- Training191 topic
- Chiral Separation181 topic
- Cytochrome P450181 topic
- Liquid Chromatography181 topic
- Pharmacogenetics181 topic
Where does Ola Spjuth work?
Ola Spjuth's main affiliation in the publication record is Uppsala University, Sweden.
How many publications and citations does Ola Spjuth have?
OpenAlex counts 293 works and 6,054 citations for Ola Spjuth, an h-index of 43, ranking #204,945 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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