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Researcher · AstraZeneca (Sweden) · Sweden

Jon Paul Janet

Jon Paul Janet publishes mostly in Materials Chemistry, Computational Theory and Mathematics and Molecular Biology, on topics such as Machine Learning in Materials Science, Computational Drug Discovery Methods and Protein Structure and Dynamics.

ORCID 0000-0001-7825-4797 OpenAlex
World rank
#115,941
of 7,710,434 ranked researchers
Rank in Sweden
#1,150
of 71,437
Works
125
Citations
4.2k
Citations per work
33.9
h-index
30
i10-index 51Top 14% in Materials Chemistry
Jon Paul Janet

What does Jon Paul Janet research?

Jon Paul Janet's work is mostly in Computer Science (28%), Materials Science (27%), Biochemistry, Genetics and Molecular Biology (14%).

Physical Sciences: 80 works · 64.0% of their workComputer Science: 35 works · 28.3% of their workComputational Theory and Mathematics: 30 works · 23.7% of their workArtificial Intelligence: 6 works · 4.6% of their workMaterials Science: 34 works · 27.1% of their workMaterials Chemistry: 34 works · 27.1% of their workEngineering: 6 works · 5.2% of their workBiomedical Engineering: 6 works · 5.2% of their workChemistry: 4 works · 3.4% of their workPhysical and Theoretical Chemistry: 4 works · 3.4% of their workEverything else: 27 works · 21.5% of their workLife Sciences: 18 works · 14.5% of their workBiochemistry, Genetics and Molecular Biology: 18 works · 14.5% of their workMolecular Biology: 18 works · 14.5% of their workTHEIR WORKJon Paul Janet125works
Life Sciences14%Physical Sciences64%

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 Science3528.3%
    2. Materials Science3427.1%
    3. Engineering65.2%
    4. Chemistry43.4%
  2. Everything else2721.5%
    1. Biochemistry, Genetics and Molecular Biology1814.5%
  1. 1Materials Chemistry27% of their works
  2. 2Computational Theory and Mathematics24% of their works
  3. 3Molecular Biology14% of their works
  4. 4Biomedical Engineering5% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Physical and Theoretical Chemistry3% of their works

Research topics

Which keywords describe Jon Paul Janet's research?

The keywords of their largest research topics: Machine Learning, Molecular Dynamics, Medicinal Chemistry, High-Throughput, Materials Informatics, Molecular Docking, Virtual Screening and Protein.

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
  1. Machine Learning1582 topics
  2. Molecular Dynamics1042 topics
  3. Medicinal Chemistry872 topics
  4. High-Throughput811 topic
  5. Materials Informatics811 topic
  6. Molecular Docking771 topic
  7. Virtual Screening771 topic
  8. Protein231 topic
  9. Structure231 topic
  10. Solvent Selection101 topic
  11. Sustainable Chemistry101 topic
  12. Droplet Formation71 topic
  13. Electrocatalysis71 topic
  14. Energy Conversion71 topic
  15. Microfluidics71 topic
  16. Absolute Configuration61 topic
  17. Chiroptical Spectroscopy61 topic
  18. Mass Spectrometry61 topic
  19. Metabolomics61 topic

Where does Jon Paul Janet work?

Jon Paul Janet's main affiliation in the publication record is AstraZeneca (Sweden), Sweden.

How many publications and citations does Jon Paul Janet have?

OpenAlex counts 125 works and 4,234 citations for Jon Paul Janet, an h-index of 30, ranking #115,941 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.

Discussion

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