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Researcher · Marshfield Clinic · United States

Peggy L. Peissig

Peggy L. Peissig publishes mostly in Genetics, Molecular Biology and Artificial Intelligence, on topics such as Genetic Associations and Epidemiology, Biomedical Text Mining and Ontologies and Machine Learning in Healthcare.

ORCID 0000-0003-4156-0189 OpenAlex
World rank
#201,438
of 7,710,434 ranked researchers
Rank in United States
#74,769
of 1,627,098
Works
169
Citations
8.6k
Citations per work
50.6
h-index
46
i10-index 100Top 5.8% in Genetics (Biochemistry, Genetics and Molecular Biology)
Peggy L. Peissig

What does Peggy L. Peissig research?

Peggy L. Peissig's work is mostly in Biochemistry, Genetics and Molecular Biology (32%), Computer Science (10%), Health Professions (6%).

Everything else: 76 works · 44.8% of their workLife Sciences: 61 works · 35.9% of their workBiochemistry, Genetics and Molecular Biology: 54 works · 31.8% of their workGenetics: 29 works · 17.4% of their workMolecular Biology: 24 works · 14.4% of their workPharmacology, Toxicology and Pharmaceutics: 7 works · 4.1% of their workToxicology: 7 works · 4.1% of their workPhysical Sciences: 17 works · 10.3% of their workComputer Science: 17 works · 10.3% of their workArtificial Intelligence: 17 works · 10.3% of their workHealth Sciences: 15 works · 9.0% of their workHealth Professions: 10 works · 5.8% of their workHealth Information Management: 10 works · 5.8% of their workMedicine: 5 works · 3.2% of their workSurgery: 5 works · 3.2% of their workTHEIR WORKPeggy L. Peissig169works
Life Sciences36%Physical Sciences10%Health Sciences9%

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. Everything else7644.8%
    1. Biochemistry, Genetics and Molecular Biology5431.8%
    2. Pharmacology, Toxicology and Pharmaceutics74.1%
    1. Computer Science1710.3%
    1. Health Professions105.8%
    2. Medicine53.2%
  1. 1Genetics17% of their works
  2. 2Molecular Biology14% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Health Information Management6% of their works
  5. 5Toxicology4% of their works
  6. 6Surgery3% of their works

Research topics

Which keywords describe Peggy L. Peissig's research?

The keywords of their largest research topics: Electronic Health Records, Genetic Variation, Genome-Wide Association, Biomedical Ontologies, Text Mining, Deep Learning, Healthcare and Genetic Variants.

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
  1. Electronic Health Records452 topics
  2. Genetic Variation381 topic
  3. Genome-Wide Association381 topic
  4. Biomedical Ontologies311 topic
  5. Text Mining311 topic
  6. Deep Learning261 topic
  7. Healthcare261 topic
  8. Genetic Variants231 topic
  9. Sequence Interpretation231 topic
  10. Adverse Drug Reactions191 topic
  11. Clinical Decision Support Systems191 topic
  12. Health Information Exchange191 topic
  13. Pharmacovigilance191 topic
  14. Gene Set Enrichment Analysis121 topic
  15. Molecular Docking121 topic
  16. Protein-Protein Interaction Networks121 topic
  17. Virtual Screening121 topic

Where does Peggy L. Peissig work?

Peggy L. Peissig's main affiliation in the publication record is Marshfield Clinic, United States.

How many publications and citations does Peggy L. Peissig have?

OpenAlex counts 169 works and 8,559 citations for Peggy L. Peissig, an h-index of 46, ranking #201,438 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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