Scott P. Brown
Scott P. Brown publishes mostly in Molecular Biology, Materials Chemistry and Computational Theory and Mathematics, on topics such as Protein Structure and Dynamics, Computational Drug Discovery Methods and Enzyme Structure and Function.
- World rank
- #862,204 of 7,710,434 ranked researchers
- Rank in United States
- #285,527 of 1,627,098
- Works
- 29
- Citations
- 2k
- Citations per work
- 70.3
What does Scott P. Brown research?
Scott P. Brown's work is mostly in Biochemistry, Genetics and Molecular Biology (39%), Materials Science (14%), Computer Science (13%).
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
- Life Sciences1344.4%
- Physical Sciences930.4%
- Materials Science413.9%
- Computer Science412.7%
- Chemistry13.8%
- Everything else725.2%
- 1Molecular Biology34% of their works
- 2Materials Chemistry14% of their works
- 3Computational Theory and Mathematics13% of their works
- 4Cellular and Molecular Neuroscience5% of their works
- 5Biophysics5% of their works
- 6Spectroscopy4% of their works
Research topics
- Protein Structure and Dynamics
- Computational Drug Discovery Methods
- Enzyme Structure and Function
- Machine Learning in Materials Science
- Advanced Fluorescence Microscopy Techniques
- Lipid Membrane Structure and Behavior
- Bioinformatics and Genomic Networks
- Protein Interaction Studies and Fluorescence Analysis
Which keywords describe Scott P. Brown's research?
The keywords of their largest research topics: Molecular Dynamics, Machine Learning, Protein, Structure, Molecular Docking, Drug Target Identification, Virtual Screening and Macromolecular Crystallography.
- Serum Albumin
- Protein Binding
- Lipid Rafts
- Fluorescent Proteins
- High-Throughput
- Macromolecular Crystallography
- Drug Target Identification
- Structure
- Machine Learning
- Molecular Dynamics
- Protein
- Molecular Docking
- Virtual Screening
- Structure Solution
- Materials Informatics
- Gene Set Enrichment Analysis
- Membrane Lipids
- Protein-Protein Interaction Networks
- Super-Resolution Imaging
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 19 words, with their numbers
- Molecular Dynamics162 topics
- Machine Learning132 topics
- Protein131 topic
- Structure131 topic
- Molecular Docking122 topics
- Drug Target Identification101 topic
- Virtual Screening101 topic
- Macromolecular Crystallography71 topic
- Structure Solution71 topic
- High-Throughput31 topic
- Materials Informatics31 topic
- Fluorescent Proteins21 topic
- Gene Set Enrichment Analysis21 topic
- Lipid Rafts21 topic
- Membrane Lipids21 topic
- Protein Binding21 topic
- Protein-Protein Interaction Networks21 topic
- Serum Albumin21 topic
- Super-Resolution Imaging21 topic
Where does Scott P. Brown work?
Scott P. Brown's main affiliation in the publication record is Abbott Fund, United States.
How many publications and citations does Scott P. Brown have?
OpenAlex counts 29 works and 2,039 citations for Scott P. Brown, an h-index of 18, ranking #862,204 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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