Alexander Tropsha
Alexander Tropsha publishes mostly in Molecular Biology, Computational Theory and Mathematics and Materials Chemistry, on topics such as Computational Drug Discovery Methods, Protein Structure and Dynamics and Machine Learning in Materials Science.
- World rank
- #137,773 of 7,710,434 ranked researchers
- Rank in United States
- #52,213 of 1,627,098
- Works
- 581
- Citations
- 35k
- Citations per work
- 60.8
What does Alexander Tropsha research?
Alexander Tropsha's work is mostly in Biochemistry, Genetics and Molecular Biology (26%), Computer Science (24%), Materials Science (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
- Physical Sciences21937.7%
- Computer Science13723.5%
- Materials Science427.3%
- Chemistry406.9%
- Everything else21036.2%
- Life Sciences15226.1%
- 1Molecular Biology26% of their works
- 2Computational Theory and Mathematics20% of their works
- 3Materials Chemistry7% of their works
- 4Spectroscopy4% of their works
- 5Organic Chemistry3% of their works
- 6Artificial Intelligence3% of their works
Research topics
Which keywords describe Alexander Tropsha's research?
The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Molecular Dynamics, Protein, Structure, High-Throughput and Materials Informatics.
- Animal Research Reporting
- Metabolomics
- Text Mining
- Liquid Chromatography
- Protein-Protein Interaction Networks
- Materials Informatics
- Structure
- Molecular Dynamics
- Molecular Docking
- Machine Learning
- Virtual Screening
- Protein
- High-Throughput
- Gene Set Enrichment Analysis
- Chiral Separation
- Biomedical Ontologies
- Mass Spectrometry
- ARRIVE Guidelines
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 18 words, with their numbers
- Machine Learning3682 topics
- Molecular Docking3041 topic
- Virtual Screening3041 topic
- Molecular Dynamics1312 topics
- Protein671 topic
- Structure671 topic
- High-Throughput641 topic
- Materials Informatics641 topic
- Gene Set Enrichment Analysis401 topic
- Protein-Protein Interaction Networks401 topic
- Chiral Separation391 topic
- Liquid Chromatography391 topic
- Biomedical Ontologies371 topic
- Text Mining371 topic
- Mass Spectrometry351 topic
- Metabolomics351 topic
- ARRIVE Guidelines241 topic
- Animal Research Reporting241 topic
Where does Alexander Tropsha work?
Alexander Tropsha's main affiliation in the publication record is University of North Carolina at Chapel Hill, United States.
How many publications and citations does Alexander Tropsha have?
OpenAlex counts 581 works and 35,310 citations for Alexander Tropsha, an h-index of 84, ranking #137,773 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.
Discussion
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