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Researcher · Novartis (Switzerland) · Switzerland

Ansgar Schuffenhauer

Ansgar Schuffenhauer publishes mostly in Molecular Biology, Computational Theory and Mathematics and Organic Chemistry, on topics such as Computational Drug Discovery Methods, Microbial Natural Products and Biosynthesis and Chemical Synthesis and Analysis.

ORCID 0000-0001-6385-0414 OpenAlex
World rank
#297,188
of 7,710,434 ranked researchers
Rank in Switzerland
#5,691
of 80,918
Works
96
Citations
7.5k
Citations per work
77.9
h-index
35
i10-index 57Top 10% in Molecular Biology
Ansgar Schuffenhauer

What does Ansgar Schuffenhauer research?

Ansgar Schuffenhauer's work is mostly in Computer Science (29%), Biochemistry, Genetics and Molecular Biology (24%), Chemistry (23%).

Physical Sciences: 50 works · 51.6% of their workComputer Science: 28 works · 29.0% of their workComputational Theory and Mathematics: 21 works · 22.2% of their workArtificial Intelligence: 7 works · 6.8% of their workChemistry: 22 works · 22.6% of their workOrganic Chemistry: 14 works · 14.7% of their workSpectroscopy: 8 works · 7.9% of their workLife Sciences: 23 works · 23.7% of their workBiochemistry, Genetics and Molecular Biology: 23 works · 23.7% of their workMolecular Biology: 23 works · 23.7% of their workEverything else: 17 works · 17.9% of their workHealth Sciences: 7 works · 6.8% of their workMedicine: 7 works · 6.8% of their workPharmacology: 7 works · 6.8% of their workTHEIR WORKAnsgarSchuffenhauer96works
Life Sciences24%Physical Sciences52%Health Sciences7%

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 Science2829.0%
    2. Chemistry2222.6%
    1. Biochemistry, Genetics and Molecular Biology2323.7%
  3. Everything else1717.9%
    1. Medicine76.8%
  1. 1Molecular Biology24% of their works
  2. 2Computational Theory and Mathematics22% of their works
  3. 3Organic Chemistry15% of their works
  4. 4Spectroscopy8% of their works
  5. 5Pharmacology7% of their works
  6. 6Artificial Intelligence7% of their works

Research topics

Which keywords describe Ansgar Schuffenhauer's research?

The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Drug Discovery, Natural Products, Secondary Metabolites, Foldamers and Peptide Synthesis.

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 18 words, with their numbers
  1. Machine Learning733 topics
  2. Molecular Docking591 topic
  3. Virtual Screening591 topic
  4. Drug Discovery312 topics
  5. Natural Products171 topic
  6. Secondary Metabolites171 topic
  7. Foldamers141 topic
  8. Peptide Synthesis141 topic
  9. Chiral Separation121 topic
  10. Liquid Chromatography121 topic
  11. Enantioselective Reactions111 topic
  12. Organocatalysis111 topic
  13. Mass Spectrometry91 topic
  14. Metabolomics91 topic
  15. Active Learning71 topic
  16. High-Throughput71 topic
  17. Materials Informatics71 topic
  18. Semi-Supervised Learning71 topic

Where does Ansgar Schuffenhauer work?

Ansgar Schuffenhauer's main affiliation in the publication record is Novartis (Switzerland), Switzerland.

How many publications and citations does Ansgar Schuffenhauer have?

OpenAlex counts 96 works and 7,474 citations for Ansgar Schuffenhauer, an h-index of 35, ranking #297,188 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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