S. Lee
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
-
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Extracellular vesicles in disease
Papers in
-
- Gene expression and cancer classification 1
-
- Microfluidic and Bio-sensing Technologies 1
- Co-authors
- Xinyi Lin (1 shared paper)Michael C. Wu (1 shared paper)Xihong Lin (1 shared paper)David C. Christiani (1 shared paper)Sung‐Wook Nam (3 shared papers)Chang-Won Hong (2 shared papers)Keun Hur (1 shared paper)Sun-Hwa Kim (1 shared paper)
- Journals
- Biostatistics (2 papers)Endoscopy (1 paper)Frontiers in Chemistry (1 paper)Journal of Korean Medical Science (1 paper)Oncology (1 paper)
- Partner nations
- South KoreaUnited StatesSudan
In The Last Decade
S. Lee
9 papers receiving 628 citations
S. Lee's Hit Papers
Peers
Comparison fields: 5 of 79
- Genetics 381
- Molecular Biology 251
- Statistics and Probability 25
- Biological Psychiatry 5
- Cancer Research 30
Countries citing papers authored by S. Lee
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Optimal tests for rare variant effects in sequencing association studies Hit paper breakdown → | 2012 | 446 |
| 2 | 2013 | 75 | |
| 3 | 2021 | 63 | |
| 4 | 2020 | 27 | |
| 5 | 2020 | 11 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2011 | 1 | |
| 10 | 2020 | 0 |
About S. Lee
S. Lee is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 10 papers that have together received 632 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper), Genomics and Rare Diseases (1 paper), Lung Cancer Research Studies (1 paper), Gene expression and cancer classification (1 paper), Gastrointestinal disorders and treatments (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Genetics (381 citations), Molecular Biology (251 citations), Statistics and Probability (25 citations), Biological Psychiatry (5 citations) and Cancer Research (30 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, Keun Hur, Sun-Hwa Kim, Sanjeeb Shrestha and Dong‐Keun Song. Their work appears in journals such as Biostatistics, Endoscopy, Frontiers in Chemistry, Journal of Korean Medical Science and Oncology.
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.