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Researcher · Seoul National University · South Korea

Martin Steinegger

Martin Steinegger publishes mostly in Molecular Biology, Ecology and Materials Chemistry, on topics such as Genomics and Phylogenetic Studies, Machine Learning in Bioinformatics and Protein Structure and Dynamics.

ORCID 0000-0001-8781-9753 OpenAlex
World rank
#35,082
of 7,710,434 ranked researchers
Rank in South Korea
#122
of 162,609
Works
178
Citations
83k
Citations per work
466.0
h-index
45
i10-index 87Top 5.1% in Molecular Biology
Martin Steinegger

What does Martin Steinegger research?

Martin Steinegger's work is mostly in Biochemistry, Genetics and Molecular Biology (60%), Environmental Science (9%), Materials Science (6%).

Life Sciences: 110 works · 61.6% of their workBiochemistry, Genetics and Molecular Biology: 107 works · 60.0% of their workMolecular Biology: 107 works · 60.0% of their workImmunology and Microbiology: 3 works · 1.6% of their workImmunology: 3 works · 1.6% of their workPhysical Sciences: 35 works · 19.8% of their workEnvironmental Science: 16 works · 9.2% of their workEcology: 16 works · 9.2% of their workMaterials Science: 11 works · 6.0% of their workMaterials Chemistry: 11 works · 6.0% of their workComputer Science: 5 works · 3.0% of their workArtificial Intelligence: 5 works · 3.0% of their workChemistry: 3 works · 1.6% of their workSpectroscopy: 3 works · 1.6% of their workEverything else: 33 works · 18.6% of their workTHEIR WORKMartin Steinegger178works
Life Sciences62%Physical Sciences20%

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 Biology10760.0%
    2. Immunology and Microbiology31.6%
    1. Environmental Science169.2%
    2. Materials Science116.0%
    3. Computer Science53.0%
    4. Chemistry31.6%
  3. Everything else3318.6%
  1. 1Molecular Biology60% of their works
  2. 2Ecology9% of their works
  3. 3Materials Chemistry6% of their works
  4. 4Artificial Intelligence3% of their works
  5. 5Immunology2% of their works
  6. 6Spectroscopy2% of their works

Research topics

Which keywords describe Martin Steinegger's research?

The keywords of their largest research topics: Prediction, Protein, RNA-Seq, sequence alignment, Amino Acid Composition, Molecular Dynamics, Structure and Subcellular Localization.

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. Prediction942 topics
  2. Protein942 topics
  3. RNA-Seq691 topic
  4. sequence alignment691 topic
  5. Amino Acid Composition471 topic
  6. Molecular Dynamics471 topic
  7. Structure471 topic
  8. Subcellular Localization471 topic
  9. Ribosome291 topic
  10. Translation291 topic
  11. Macromolecular Crystallography251 topic
  12. Structure Solution251 topic
  13. Ecology171 topic
  14. Virus171 topic
  15. Marine Microbes161 topic
  16. Microbial Biogeography161 topic
  17. Gene Set Enrichment Analysis151 topic
  18. Protein-Protein Interaction Networks151 topic

Where does Martin Steinegger work?

Martin Steinegger's main affiliation in the publication record is Seoul National University, South Korea.

How many publications and citations does Martin Steinegger have?

OpenAlex counts 178 works and 82,946 citations for Martin Steinegger, an h-index of 45, ranking #35,082 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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