Bermseok Oh
- Molecular Biology top 5%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Kyung‐Won HongKuchan KimmDavor SolterBarbara B. KnowlesSue‐Yun HwangHyoung Doo ShinHyun‐Seok JinJong‐Young Lee
- Topics
- Genetic Associations and Epidemiology (43 papers)Asthma and respiratory diseases (14 papers)Liver Disease Diagnosis and Treatment (12 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Bermseok Oh
142 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.4k
- Genetics 778
- Endocrinology, Diabetes and Metabolism 342
- Physiology 325
- Public Health, Environmental and Occupational Health 319
Countries citing papers authored by Bermseok Oh
This map shows the geographic impact of Bermseok Oh'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 Bermseok Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bermseok Oh more than expected).
Fields of papers citing papers by Bermseok Oh
This network shows the impact of papers produced by Bermseok Oh. 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 Bermseok Oh. The network helps show where Bermseok Oh may publish in the future.
Co-authorship network of co-authors of Bermseok Oh
This figure shows the co-authorship network connecting the top 25 collaborators of Bermseok Oh. A scholar is included among the top collaborators of Bermseok Oh 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 Bermseok Oh. Bermseok Oh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 9 | |
| 9 | 20 | |
| 10 | 15 | |
| 11 | 19 | |
| 12 | FCAnalyzer: A Functional Clustering Analysis Tool for Predicted Transcription Regulatory Elements and Gene Ontology Terms | 0 |
| 13 | Characterization of Single Nucleotide Polymorphisms in 55 Disease-Associated Genes in a Korean Population | 1 |
| 14 | 5 | |
| 15 | 6 | |
| 16 | Single Nucleotide Polymorph isms of a 16 kb Region on Human Chromosome 11 p15.5 that Includes the H19 Gene | 0 |
| 17 | 15 | |
| 18 | 60 | |
| 19 | MediScore: MEDLINE-based Interactive Scoring of Gene and Disease Associations | 0 |
| 20 | DIABETES MUTATIONS DELINEATE AN ATYPICAL POU DOMAIN IN HNF1A. | 1 |
About Bermseok Oh
Bermseok Oh is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Immunology, having authored 149 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (43 papers), Asthma and respiratory diseases (14 papers) and Liver Disease Diagnosis and Treatment (12 papers). The work is most often cited by research in Genetics (778 citations), Endocrinology, Diabetes and Metabolism (342 citations) and Molecular Biology (1.4k citations). Bermseok Oh has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Kyung‐Won Hong, Kuchan Kimm, Davor Solter, Barbara B. Knowles, Sue‐Yun Hwang, Hyoung Doo Shin, Hyun‐Seok Jin, Jong‐Young Lee, InSong Koh and Ju‐Young Lee. Their work appears in journals such as Bioinformatics, The Journal of Immunology and PLoS ONE.
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.