Sangseob Leem

424 total citations
23 papers, 320 citations indexed

About

Sangseob Leem is a scholar working on Molecular Biology, Genetics and Dermatology. According to data from OpenAlex, Sangseob Leem has authored 23 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Dermatology. Recurrent topics in Sangseob Leem's work include Genetic Associations and Epidemiology (7 papers), Bioinformatics and Genomic Networks (6 papers) and Skin Protection and Aging (6 papers). Sangseob Leem is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Bioinformatics and Genomic Networks (6 papers) and Skin Protection and Aging (6 papers). Sangseob Leem collaborates with scholars based in South Korea, United States and Puerto Rico. Sangseob Leem's co-authors include Taesung Park, Kyung-Ah Sohn, Hyun-Hwan Jeong, Jinho Yang, Jungseob Lee, Hye-Young Jung, Jae Youn Cheong, Jung‐Hwan Yoon, Ji Won Kim and Sungmin Kim and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Investigative Dermatology.

In The Last Decade

Sangseob Leem

21 papers receiving 312 citations

Peers

Sangseob Leem

GENET

EPIDE

MICRO

Stefan Weiß Germany

Jun Hirata Japan

Andy Fulmer United States

Ian Francis United States

Najaf A. Shah United States

Brook Brouha United States

Zhi‐Song Zhang China

Lejla Gul United Kingdom

Caifeng Chen China

Stefan Weiß Germany

Sangseob Leem

154 ×0.8

68 ×0.8

GENET

24 ×0.6

EPIDE

12 ×0.4

MICRO

17 ×0.6

Citations per year, relative to Sangseob Leem Sangseob Leem (= 1×) peers Stefan Weiß

Countries citing papers authored by Sangseob Leem

Since Specialization

Citations

This map shows the geographic impact of Sangseob Leem'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 Sangseob Leem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangseob Leem more than expected).

Fields of papers citing papers by Sangseob Leem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sangseob Leem. 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 Sangseob Leem. The network helps show where Sangseob Leem may publish in the future.

Co-authorship network of co-authors of Sangseob Leem

This figure shows the co-authorship network connecting the top 25 collaborators of Sangseob Leem. A scholar is included among the top collaborators of Sangseob Leem based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sangseob Leem. Sangseob Leem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Leem, Sangseob, et al.. (2024). Image‐based investigation of lip aging features in a large number of Korean women. Skin Research and Technology. 30(1). e13563–e13563. 2 indexed citations

Kim, Beomsu, Sangseob Leem, Minyoung Cho, et al.. (2024). Mapping and annotating genomic loci to prioritize genes and implicate distinct polygenic adaptations for skin color. Nature Communications. 15(1). 4874–4874. 4 indexed citations

Leem, Sangseob, et al.. (2023). Skin aging‐related microbial types separated by Cutibacterium and α‐diversity. Journal of Cosmetic Dermatology. 23(3). 1066–1074. 5 indexed citations

Leem, Sangseob, et al.. (2022). Identification of Genetic Loci Associated with Facial Wrinkles in a Large Korean Population. Journal of Investigative Dermatology. 142(10). 2824–2827. 3 indexed citations

Kim, Se Ik, Sangseob Leem, Jinho Yang, et al.. (2020). Metagenomic Analysis of Serum Microbe-Derived Extracellular Vesicles and Diagnostic Models to Differentiate Ovarian Cancer and Benign Ovarian Tumor. Cancers. 12(5). 1309–1309. 53 indexed citations

Leem, Sangseob, et al.. (2020). Comparative analysis of skin characteristics evaluation by a dermatologist and the Janus‐III measurement system. Skin Research and Technology. 27(1). 86–92. 5 indexed citations

Leem, Sangseob, et al.. (2020). GWAS Analysis of 17,019 Korean Women Identifies the Variants Associated with Facial Pigmented Spots. Journal of Investigative Dermatology. 141(3). 555–562. 19 indexed citations

Leem, Sangseob, Iksoo Huh, & Taesung Park. (2020). Enhanced Permutation Tests via Multiple Pruning. Frontiers in Genetics. 11. 509–509. 5 indexed citations

Lee, Ho‐Sun, Sangseob Leem, Bermseok Oh, & Taesung Park. (2019). Effect of Interaction between Early Menarche and Genetic Polymorphisms on Triglyceride. Oxidative Medicine and Cellular Longevity. 2019. 1–9. 5 indexed citations

10.

Cho, Eun Ju, Sangseob Leem, Sunah Kim, et al.. (2019). Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma. Scientific Reports. 9(1). 7536–7536. 72 indexed citations

11.

Leem, Sangseob, et al.. (2019). Repeated measurements of facial skin characteristics using the Janus‐Ⅲ measurement system. Skin Research and Technology. 26(3). 362–368. 5 indexed citations

12.

Leem, Sangseob & Taesung Park. (2018). EFMDR-Fast: An Application of Empirical Fuzzy Multifactor Dimensionality Reduction for Fast Execution. Genomics & Informatics. 16(4). e37–e37. 4 indexed citations

13.

Kwon, Minseok, Sangseob Leem, Joon Yoon, & Taesung Park. (2018). GxGrare: gene-gene interaction analysis method for rare variants from high-throughput sequencing data. BMC Systems Biology. 12(S2). 19–19. 8 indexed citations

14.

Leem, Sangseob, Dae Ho Lee, & Taesung Park. (2018). SPARTA: super-fast permutation approach to approximate extremely low p-values. International Journal of Data Mining and Bioinformatics. 21(4). 352–352. 1 indexed citations

15.

Jung, Hye-Young, Sangseob Leem, & Taesung Park. (2018). Fuzzy set-based generalized multifactor dimensionality reduction analysis of gene-gene interactions. BMC Medical Genomics. 11(S2). 4–21. 9 indexed citations

16.

Leem, Sangseob & Taesung Park. (2018). An approximation method of extremely low p-values using permutation test. 5 indexed citations

17.

Leem, Sangseob & Taesung Park. (2017). An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions. BMC Genomics. 18(S2). 115–115. 26 indexed citations

18.

Jung, Hye-Young, Sangseob Leem, Sungyoung Lee, & Taesung Park. (2016). A novel fuzzy set based multifactor dimensionality reduction method for detecting gene–gene interaction. Computational Biology and Chemistry. 65. 193–202. 15 indexed citations

19.

Jeong, Hyun-Hwan, et al.. (2015). Integrative network analysis for survival-associated gene-gene interactions across multiple genomic profiles in ovarian cancer. Journal of Ovarian Research. 8(1). 42–42. 19 indexed citations

20.

Leem, Sangseob, et al.. (2014). Fast detection of high-order epistatic interactions in genome-wide association studies using information theoretic measure. Computational Biology and Chemistry. 50. 19–28. 42 indexed citations

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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