Jeffrey M. Perkel
Jeffrey M. Perkel publishes mostly in Molecular Biology, Biomedical Engineering and Information Systems and Management, on topics such as Genetics, Bioinformatics, and Biomedical Research, Scientific Computing and Data Management and CRISPR and Genetic Engineering.
- World rank
- #2,562,058 of 7,710,434 ranked researchers
- Rank in United States
- #752,967 of 1,627,098
- Works
- 229
- Citations
- 3.6k
- Citations per work
- 15.5
What does Jeffrey M. Perkel research?
Jeffrey M. Perkel's work is mostly in Biochemistry, Genetics and Molecular Biology (38%), Engineering (6%), Decision Sciences (5%).
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 else10144.2%
- Life Sciences8738.1%
- Physical Sciences229.7%
- Engineering146.2%
- Chemistry83.5%
- Social Sciences114.9%
- Decision Sciences114.9%
- Health Sciences73.1%
- Medicine73.1%
- 1Molecular Biology34% of their works
- 2Biomedical Engineering6% of their works
- 3Information Systems and Management5% of their works
- 4Biophysics4% of their works
- 5Spectroscopy4% of their works
- 6Public Health, Environmental and Occupational Health3% of their works
Research topics
- Genetics, Bioinformatics, and Biomedical Research
- Scientific Computing and Data Management
- CRISPR and Genetic Engineering
- Biomedical and Engineering Education
- Single-cell and spatial transcriptomics
- Cell Image Analysis Techniques
- Advanced Proteomics Techniques and Applications
- Genomics and Phylogenetic Studies
Which keywords describe Jeffrey M. Perkel's research?
The keywords of their largest research topics: Bioinformatics, Education, Big Data, Training, RNA-Seq, Reproducibility, Scientific Workflows and Genome Engineering.
- Phylogenetic Analysis
- Mass Spectrometry
- Bioimage Analysis
- Single-Cell
- Biomedical Engineering
- Genome Engineering
- Reproducibility
- Training
- Education
- Bioinformatics
- Big Data
- RNA-Seq
- Scientific Workflows
- RNA-Guided
- Hackathons
- Transcriptomics
- High-Content Screening
- Proteomics
- sequence alignment
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
- Bioinformatics532 topics
- Education472 topics
- Big Data331 topic
- Training331 topic
- RNA-Seq212 topics
- Reproducibility201 topic
- Scientific Workflows201 topic
- Genome Engineering171 topic
- RNA-Guided171 topic
- Biomedical Engineering141 topic
- Hackathons141 topic
- Single-Cell131 topic
- Transcriptomics131 topic
- Bioimage Analysis121 topic
- High-Content Screening121 topic
- Mass Spectrometry121 topic
- Proteomics121 topic
- Phylogenetic Analysis81 topic
- sequence alignment81 topic
Where does Jeffrey M. Perkel work?
Jeffrey M. Perkel's main affiliation in the publication record is Pocatello High School, United States.
How many publications and citations does Jeffrey M. Perkel have?
OpenAlex counts 229 works and 3,556 citations for Jeffrey M. Perkel, an h-index of 31, ranking #2,562,058 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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