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Researcher · Harvard University · United States

Samuel Sungil Kim

Samuel Sungil Kim publishes mostly in Molecular Biology, Genetics and Artificial Intelligence, on topics such as Genetic Associations and Epidemiology, Bioinformatics and Genomic Networks and RNA Research and Splicing.

ORCID 0000-0003-0491-0784 OpenAlex
World rank
#1,461,926
of 7,710,434 ranked researchers
Rank in United States
#459,607
of 1,627,098
Works
31
Citations
850
Citations per work
27.4
h-index
13
i10-index 14Top 59% in Molecular Biology
Samuel Sungil Kim

What does Samuel Sungil Kim research?

Samuel Sungil Kim's work is mostly in Biochemistry, Genetics and Molecular Biology (79%), Computer Science (8%), Immunology and Microbiology (4%).

Life Sciences: 26 works · 84.8% of their workBiochemistry, Genetics and Molecular Biology: 24 works · 79.0% of their workMolecular Biology: 13 works · 43.0% of their workGenetics: 11 works · 36.0% of their workImmunology and Microbiology: 1 works · 3.5% of their workImmunology: 1 works · 3.5% of their workNeuroscience: 1 works · 2.3% of their workCellular and Molecular Neuroscience: 1 works · 2.3% of their workPhysical Sciences: 3 works · 8.1% of their workComputer Science: 3 works · 8.1% of their workArtificial Intelligence: 2 works · 5.8% of their workComputer Vision and Pattern Recognition: 1 works · 2.3% of their workEverything else: 2 works · 7.1% of their workTHEIR WORKSamuel Sungil Kim31works
Life Sciences85%Physical Sciences8%

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 Biology2479.0%
    2. Immunology and Microbiology13.5%
    3. Neuroscience12.3%
    1. Computer Science38.1%
  3. Everything else27.1%
  1. 1Molecular Biology43% of their works
  2. 2Genetics36% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Immunology4% of their works
  5. 5Computer Vision and Pattern Recognition2% of their works
  6. 6Cellular and Molecular Neuroscience2% of their works

Research topics

Which keywords describe Samuel Sungil Kim's research?

The keywords of their largest research topics: Gene Expression, Genetic Variation, Genome-Wide Association, Population Genetics, Haplotype Mapping, Mendelian Randomization, Gene Set Enrichment Analysis and Protein-Protein Interaction Networks.

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 21 words, with their numbers
  1. Gene Expression232 topics
  2. Genetic Variation222 topics
  3. Genome-Wide Association212 topics
  4. Population Genetics212 topics
  5. Haplotype Mapping191 topic
  6. Mendelian Randomization191 topic
  7. Gene Set Enrichment Analysis101 topic
  8. Protein-Protein Interaction Networks101 topic
  9. Alternative Splicing61 topic
  10. RNA-Binding Proteins61 topic
  11. Marker-Assisted Selection52 topics
  12. Krüppel-like Factors41 topic
  13. Transcriptional Regulation41 topic
  14. Chromatin31 topic
  15. DNA Methylation31 topic
  16. Genome-wide Association Studies31 topic
  17. Histone Modification31 topic
  18. Quantitative Trait Loci31 topic
  19. Transcription31 topic
  20. Genomic Selection21 topic
  21. Plant Breeding21 topic

Where does Samuel Sungil Kim work?

Samuel Sungil Kim's main affiliation in the publication record is Harvard University, United States.

How many publications and citations does Samuel Sungil Kim have?

OpenAlex counts 31 works and 850 citations for Samuel Sungil Kim, an h-index of 13, ranking #1,461,926 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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