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Researcher · University of Pittsburgh · United States

Andrew T. McNutt

Andrew T. McNutt publishes mostly in Molecular Biology, Computational Theory and Mathematics and Organic Chemistry, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Cell Image Analysis Techniques.

ORCID 0000-0001-6497-6019 OpenAlex
World rank
#2,478,785
of 7,710,434 ranked researchers
Rank in United States
#731,875
of 1,627,098
Works
21
Citations
1.2k
Citations per work
56.5
h-index
7
i10-index 6Top 91% in Molecular Biology
Andrew T. McNutt

What does Andrew T. McNutt research?

Andrew T. McNutt's work is mostly in Biochemistry, Genetics and Molecular Biology (35%), Computer Science (28%), Chemistry (10%).

Physical Sciences: 10 works · 47.1% of their workComputer Science: 6 works · 27.5% of their workComputational Theory and Mathematics: 5 works · 21.6% of their workArtificial Intelligence: 1 works · 5.9% of their workChemistry: 2 works · 9.8% of their workOrganic Chemistry: 2 works · 9.8% of their workMaterials Science: 2 works · 9.8% of their workMaterials Chemistry: 2 works · 9.8% of their workLife Sciences: 7 works · 35.3% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 35.3% of their workMolecular Biology: 6 works · 27.5% of their workBiophysics: 2 works · 7.8% of their workEverything else: 4 works · 17.6% of their workTHEIR WORKAndrew T. McNutt21works
Life Sciences35%Physical Sciences47%

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. Computer Science627.5%
    2. Chemistry29.8%
    3. Materials Science29.8%
    1. Biochemistry, Genetics and Molecular Biology735.3%
  3. Everything else417.6%
  1. 1Molecular Biology28% of their works
  2. 2Computational Theory and Mathematics22% of their works
  3. 3Organic Chemistry10% of their works
  4. 4Materials Chemistry10% of their works
  5. 5Biophysics8% of their works
  6. 6Artificial Intelligence6% of their works

Research topics

Which keywords describe Andrew T. McNutt's research?

The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Drug Discovery, Molecular Dynamics, High-Throughput, Materials Informatics and Bioimage Analysis.

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 19 words, with their numbers
  1. Machine Learning203 topics
  2. Molecular Docking111 topic
  3. Virtual Screening111 topic
  4. Drug Discovery72 topics
  5. Molecular Dynamics72 topics
  6. High-Throughput51 topic
  7. Materials Informatics51 topic
  8. Bioimage Analysis41 topic
  9. Click Chemistry41 topic
  10. Copper-Catalyzed Cycloaddition41 topic
  11. High-Content Screening41 topic
  12. Single-Cell41 topic
  13. Transcriptomics41 topic
  14. Epitope Prediction31 topic
  15. Natural Products31 topic
  16. Peptide-MHC Binding31 topic
  17. Secondary Metabolites31 topic
  18. Protein21 topic
  19. Structure21 topic

Where does Andrew T. McNutt work?

Andrew T. McNutt's main affiliation in the publication record is University of Pittsburgh, United States.

How many publications and citations does Andrew T. McNutt have?

OpenAlex counts 21 works and 1,187 citations for Andrew T. McNutt, an h-index of 7, ranking #2,478,785 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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