Hyun‐Seok Jin
- Molecular Biology
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Sensory Systems top 5%
- Physiology
- Co-authors
- Kyung‐Won HongBermseok OhYong‐Bin EomSeon‐Yong JeongSunmin ParkJi‐Eun LimSung‐Chul JungJeonghyun Kim
- Topics
- Genetic Associations and Epidemiology (21 papers)Bone Metabolism and Diseases (11 papers)Diet, Metabolism, and Disease (7 papers)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Hyun‐Seok Jin
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 510
- Genetics 374
- Endocrinology, Diabetes and Metabolism 232
- Sensory Systems 124
- Physiology 124
Countries citing papers authored by Hyun‐Seok Jin
This map shows the geographic impact of Hyun‐Seok Jin'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 Hyun‐Seok Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun‐Seok Jin more than expected).
Fields of papers citing papers by Hyun‐Seok Jin
This network shows the impact of papers produced by Hyun‐Seok Jin. 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 Hyun‐Seok Jin. The network helps show where Hyun‐Seok Jin may publish in the future.
Co-authorship network of co-authors of Hyun‐Seok Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Hyun‐Seok Jin. A scholar is included among the top collaborators of Hyun‐Seok Jin 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 Hyun‐Seok Jin. Hyun‐Seok Jin 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 | 10 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 23 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 50 | |
| 11 | 12 | |
| 12 | Genetic Variations of ESR1 Gene are Associated with Bone Mineral Density Traits in Korean Women | 5 |
| 13 | Replicated Association between SLC4A4 Gene and Blood Pressure Traits in the Korean Population | 2 |
| 14 | 20 | |
| 15 | Proximal caries detection using digital subtraction radiography in the artificial caries activity model | 1 |
| 16 | 19 | |
| 17 | Relations between the Dietary Habits and Components of the Metabolic Syndrome in Premenopausal Women | 9 |
| 18 | 3 | |
| 19 | 114 | |
| 20 | A Novel PCR Primers HPU185 and HPL826 Based on 16S rRNA Gene for Detection of Helicobacter pylori | 2 |
About Hyun‐Seok Jin
Hyun‐Seok Jin is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Orthopedics and Sports Medicine, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (21 papers), Bone Metabolism and Diseases (11 papers) and Diet, Metabolism, and Disease (7 papers). The work is most often cited by research in Sensory Systems (124 citations), Endocrinology, Diabetes and Metabolism (232 citations) and Genetics (374 citations). Hyun‐Seok Jin has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Kyung‐Won Hong, Bermseok Oh, Yong‐Bin Eom, Seon‐Yong Jeong, Sunmin Park, Ji‐Eun Lim, Sung‐Chul Jung, Jeonghyun Kim, Hye‐Won Cho and Min Jin Go. Their work appears in journals such as Nature Communications, PLoS ONE and International Journal of Molecular Sciences.
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.