Roland B. Stoughton
Roland B. Stoughton publishes mostly in Molecular Biology, Aerospace Engineering and Oceanography, on topics such as Gene expression and cancer classification, Bioinformatics and Genomic Networks and RNA and protein synthesis mechanisms.
- World rank
- #579,859 of 7,710,434 ranked researchers
- Rank in United States
- #199,586 of 1,627,098
- Works
- 43
- Citations
- 11k
- Citations per work
- 264.8
What does Roland B. Stoughton research?
Roland B. Stoughton's work is mostly in Biochemistry, Genetics and Molecular Biology (50%), Engineering (14%), Earth and Planetary Sciences (6%).
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 Sciences2149.5%
- Everything else1227.9%
- Physical Sciences920.4%
- Engineering613.9%
- Earth and Planetary Sciences36.5%
- Social Sciences12.2%
- Social Sciences12.2%
- 1Molecular Biology50% of their works
- 2Aerospace Engineering8% of their works
- 3Oceanography6% of their works
- 4Ocean Engineering3% of their works
- 5Biomedical Engineering3% of their works
- 6Sociology and Political Science2% of their works
Research topics
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Advanced Biosensing Techniques and Applications
- Oceanographic and Atmospheric Processes
- Underwater Acoustics Research
- Genetics, Bioinformatics, and Biomedical Research
Which keywords describe Roland B. Stoughton's research?
The keywords of their largest research topics: Machine Learning, Bioinformatics, Gene Expression, Microarray, Gene Set Enrichment Analysis, Protein-Protein Interaction Networks, Ribosome and Translation.
- Training
- Seafloor Mapping
- Protein Microarrays
- Ocean Circulation
- Alternative Splicing
- Translation
- Protein-Protein Interaction Networks
- Microarray
- Bioinformatics
- Machine Learning
- Gene Expression
- Gene Set Enrichment Analysis
- Ribosome
- Acoustic Techniques
- High-Throughput Analysis
- Oceanic Modeling
- RNA-Binding Proteins
- Education
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 Learning172 topics
- Bioinformatics162 topics
- Gene Expression141 topic
- Microarray141 topic
- Gene Set Enrichment Analysis61 topic
- Protein-Protein Interaction Networks61 topic
- Ribosome51 topic
- Translation51 topic
- Acoustic Techniques31 topic
- Alternative Splicing31 topic
- High-Throughput Analysis31 topic
- Ocean Circulation31 topic
- Oceanic Modeling31 topic
- Protein Microarrays31 topic
- RNA-Binding Proteins31 topic
- Seafloor Mapping31 topic
- Education21 topic
- Training21 topic
Where does Roland B. Stoughton work?
Roland B. Stoughton's main affiliation in the publication record is Rosetta Stone (United States), United States.
How many publications and citations does Roland B. Stoughton have?
OpenAlex counts 43 works and 11,386 citations for Roland B. Stoughton, an h-index of 20, ranking #579,859 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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