S. Lee

976 citations
10 papers · 613 indexed · 1 hit paper · h-index 5

Impact in

  • Genetics top 5%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • Extracellular vesicles in disease

Papers in

S. Lee

9 papers receiving 608 citations

Hit Papers

Optimal tests for rare variant effects in sequencing association studies 2012 · 436 citations
4362012202620162021100200300400

Peers

S. Lee
Comparison fields: 5 of 83
  • Genetics 402
  • Molecular Biology 287
  • Statistics and Probability 26
  • Cancer Research 34
  • Immunology 44
Replace Berta Almoguera with:
Berta Almoguera Spain
Arne Schillert Germany
Daniele Biasci United Kingdom
Saori Sakaue Japan
Lisa Mahanta United States
J Rudy United States
Jingping Xu China
Man Jin Kim South Korea
Lema Haddad United Kingdom
David Y. Lo United States
S. Lee relative to Berta Almoguera Spain Berta Almoguera's profile →
Citations per field
00.5×4.3×
Berta Almoguera · 1×
Citations per year

Countries citing papers authored by S. Lee

Since Specialization
Citations

This map shows the geographic impact of S. Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Lee more than expected).

Fields of papers citing papers by S. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Lee. The network helps show where S. Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside S. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Lee Line = papers co-authored together S. Lee links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20232
2 20234
3 20222
4 202160
5 202025
6 20200
7 20209
8 201374
9
Optimal tests for rare variant effects in sequencing association studies
Hit paper breakdown →
2012436
10 20111

About S. Lee

S. Lee is a scholar working on Gastroenterology, Immunology and Allergy, Neurology, Oncology and Genetics, having authored 10 papers that have together received 613 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (3 papers), Genetic Associations and Epidemiology (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Neuroblastoma Research and Treatments (2 papers), Gene expression and cancer classification (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Genomics and Rare Diseases (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Genetics (402 citations), Molecular Biology (287 citations), Statistics and Probability (26 citations), Cancer Research (34 citations) and Immunology (44 citations). S. Lee has collaborated with scholars based in South Korea, United States and Sudan. Frequent co-authors include Xinyi Lin, Michael C. Wu, Xihong Lin, David C. Christiani, Sung‐Wook Nam, Chang-Won Hong, Sanjeeb Shrestha, Keun Hur, Hee Kyung Jin and Jae‐sung Bae. Their work appears in journals such as Biostatistics, Endoscopy, Journal of Korean Medical Science, Materials Research Express and Theranostics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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