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Researcher · University of Kentucky · United States

Erik D. Huckvale

Erik D. Huckvale publishes mostly in Molecular Biology, Computational Theory and Mathematics and Information Systems and Management, on topics such as Bioinformatics and Genomic Networks, Computational Drug Discovery Methods and Metabolomics and Mass Spectrometry Studies.

ORCID 0000-0002-6994-8831 OpenAlex
World rank
#4,115,766
of 7,710,434 ranked researchers
Rank in United States
#1,116,136
of 1,627,098
Works
30
Citations
128
Citations per work
4.3
h-index
7
i10-index 5Top 91% in Molecular Biology
Erik D. Huckvale

What does Erik D. Huckvale research?

Erik D. Huckvale's work is mostly in Biochemistry, Genetics and Molecular Biology (73%), Computer Science (20%), Decision Sciences (3%).

Life Sciences: 22 works · 73.2% of their workBiochemistry, Genetics and Molecular Biology: 22 works · 73.2% of their workMolecular Biology: 21 works · 70.4% of their workCancer Research: 0 works · 1.4% of their workGenetics: 0 works · 1.4% of their workPhysical Sciences: 6 works · 19.7% of their workComputer Science: 6 works · 19.7% of their workComputational Theory and Mathematics: 5 works · 16.9% of their workArtificial Intelligence: 1 works · 2.8% of their workEverything else: 1 works · 4.3% of their workSocial Sciences: 1 works · 2.8% of their workDecision Sciences: 1 works · 2.8% of their workInformation Systems and Management: 1 works · 2.8% of their workTHEIR WORKErik D. Huckvale30works
Life Sciences73%Physical Sciences20%Social Sciences3%

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
    1. Biochemistry, Genetics and Molecular Biology2273.2%
    1. Computer Science619.7%
  3. Everything else14.3%
    1. Decision Sciences12.8%
  1. 1Molecular Biology70% of their works
  2. 2Computational Theory and Mathematics17% of their works
  3. 3Information Systems and Management3% of their works
  4. 4Artificial Intelligence3% of their works
  5. 5Cancer Research1% of their works
  6. 6Genetics1% of their works

Research topics

Which keywords describe Erik D. Huckvale's research?

The keywords of their largest research topics: Gene Set Enrichment Analysis, Protein-Protein Interaction Networks, Machine Learning, Molecular Docking, Virtual Screening, Mass Spectrometry, Metabolomics and Bioinformatics.

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.

All 18 words, with their numbers
  1. Gene Set Enrichment Analysis211 topic
  2. Protein-Protein Interaction Networks211 topic
  3. Machine Learning202 topics
  4. Molecular Docking121 topic
  5. Virtual Screening121 topic
  6. Mass Spectrometry111 topic
  7. Metabolomics111 topic
  8. Bioinformatics102 topics
  9. Protein81 topic
  10. Subcellular Localization81 topic
  11. Genome-Scale Models71 topic
  12. Metabolic Engineering71 topic
  13. RNA-Seq21 topic
  14. Reproducibility21 topic
  15. Scientific Workflows21 topic
  16. sequence alignment21 topic
  17. Cancer Genomics11 topic
  18. Mutational Signatures11 topic

Where does Erik D. Huckvale work?

Erik D. Huckvale's main affiliation in the publication record is University of Kentucky, United States.

How many publications and citations does Erik D. Huckvale have?

OpenAlex counts 30 works and 128 citations for Erik D. Huckvale, an h-index of 7, ranking #4,115,766 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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