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Researcher · University of Cincinnati · United States

Seongho Song

Seongho Song publishes mostly in Molecular Biology, Statistics and Probability and Genetics, on topics such as Statistical Distribution Estimation and Applications, Statistical Methods and Bayesian Inference and Genetic and phenotypic traits in livestock.

OpenAlex
World rank
#5,243,806
of 7,710,434 ranked researchers
Rank in United States
#1,342,256
of 1,627,098
Works
33
Citations
469
Citations per work
14.2
h-index
13
i10-index 15Top 59% in Molecular Biology
Seongho Song

What does Seongho Song research?

Seongho Song's work is mostly in Biochemistry, Genetics and Molecular Biology (30%), Mathematics (14%), Neuroscience (9%).

Everything else: 13 works · 39.0% of their workLife Sciences: 13 works · 38.8% of their workBiochemistry, Genetics and Molecular Biology: 10 works · 30.0% of their workMolecular Biology: 6 works · 18.9% of their workGenetics: 4 works · 11.1% of their workNeuroscience: 3 works · 8.8% of their workCognitive Neuroscience: 1 works · 4.4% of their workEndocrine and Autonomic Systems: 1 works · 4.4% of their workPhysical Sciences: 5 works · 14.4% of their workMathematics: 5 works · 14.4% of their workStatistics and Probability: 5 works · 14.4% of their workSocial Sciences: 3 works · 7.8% of their workEconomics, Econometrics and Finance: 3 works · 7.8% of their workEconomics and Econometrics: 3 works · 7.8% of their workTHEIR WORKSeongho Song33works
Life Sciences39%Physical Sciences14%Social 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. Everything else1339.0%
    1. Biochemistry, Genetics and Molecular Biology1030.0%
    2. Neuroscience38.8%
    1. Mathematics514.4%
    1. Economics, Econometrics and Finance37.8%
  1. 1Molecular Biology19% of their works
  2. 2Statistics and Probability14% of their works
  3. 3Genetics11% of their works
  4. 4Economics and Econometrics8% of their works
  5. 5Cognitive Neuroscience4% of their works
  6. 6Endocrine and Autonomic Systems4% of their works

Research topics

Which keywords describe Seongho Song's research?

The keywords of their largest research topics: Bayesian Inference, Sensitivity Analysis, Genetic Diversity, Population Genetics, Marker-Assisted Selection, Bayesian Modeling, Generalized Exponential and Multiple Imputation.

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. Bayesian Inference82 topics
  2. Sensitivity Analysis82 topics
  3. Genetic Diversity72 topics
  4. Population Genetics72 topics
  5. Marker-Assisted Selection62 topics
  6. Bayesian Modeling51 topic
  7. Generalized Exponential51 topic
  8. Multiple Imputation51 topic
  9. Skew Distributions51 topic
  10. Gene Expression41 topic
  11. Genomic Selection41 topic
  12. Microarray41 topic
  13. Plant Breeding41 topic
  14. Alternative Splicing31 topic
  15. Genetic Structure31 topic
  16. Polynomial Chaos31 topic
  17. Population Dynamics31 topic
  18. RNA-Binding Proteins31 topic
  19. Uncertainty Quantification31 topic
  20. Genome-wide Association Studies21 topic
  21. Quantitative Trait Loci21 topic

Where does Seongho Song work?

Seongho Song's main affiliation in the publication record is University of Cincinnati, United States.

How many publications and citations does Seongho Song have?

OpenAlex counts 33 works and 469 citations for Seongho Song, an h-index of 13, ranking #5,243,806 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.

Discussion

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