Nathan Barker
Nathan Barker publishes mostly in Molecular Biology, Information Systems and Gender Studies, on topics such as Gene Regulatory Network Analysis, Information Systems Education and Curriculum Development and Gender and Technology in Education.
- World rank
- #3,311,246 of 7,710,434 ranked researchers
- Rank in United States
- #935,376 of 1,627,098
- Works
- 23
- Citations
- 301
- Citations per work
- 13.1
What does Nathan Barker research?
Nathan Barker's work is mostly in Biochemistry, Genetics and Molecular Biology (27%), Social Sciences (18%), Computer Science (18%).
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 else730.7%
- Life Sciences626.5%
- Social Sciences624.5%
- Physical Sciences418.3%
- Computer Science418.3%
- 1Molecular Biology26% of their works
- 2Information Systems12% of their works
- 3Gender Studies10% of their works
- 4Sociology and Political Science8% of their works
- 5Economics and Econometrics6% of their works
- 6Computer Science Applications6% of their works
Research topics
- Gene Regulatory Network Analysis
- Information Systems Education and Curriculum Development
- Gender and Technology in Education
- Teaching and Learning Programming
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Digital literacy in education
Which keywords describe Nathan Barker's research?
The keywords of their largest research topics: Synthetic Biology, Gene Regulatory Networks, Stochastic Gene Expression, curriculum guidelines, Gender, ICT, IT skills and Computational Thinking.
- Ribosome
- Metabolic Engineering
- Gene Set Enrichment Analysis
- 21st-century Skills
- Computational Thinking
- IT skills
- Gender
- Gene Regulatory Networks
- Synthetic Biology
- Stochastic Gene Expression
- ICT
- curriculum guidelines
- Programming Education
- Digital Skills
- Genome-Scale Models
- Protein-Protein Interaction Networks
- Translation
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 17 words, with their numbers
- Synthetic Biology72 topics
- Gene Regulatory Networks51 topic
- Stochastic Gene Expression51 topic
- Gender41 topic
- ICT41 topic
- IT skills41 topic
- curriculum guidelines41 topic
- Computational Thinking31 topic
- Programming Education31 topic
- 21st-century Skills21 topic
- Digital Skills21 topic
- Gene Set Enrichment Analysis21 topic
- Genome-Scale Models21 topic
- Metabolic Engineering21 topic
- Protein-Protein Interaction Networks21 topic
- Ribosome21 topic
- Translation21 topic
Where does Nathan Barker work?
Nathan Barker's main affiliation in the publication record is Southern Utah University, United States.
How many publications and citations does Nathan Barker have?
OpenAlex counts 23 works and 301 citations for Nathan Barker, an h-index of 8, ranking #3,311,246 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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