Hye-Mi Jang

2.3k total citations
12 papers, 242 citations indexed

About

Hye-Mi Jang is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Hye-Mi Jang has authored 12 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Hye-Mi Jang's work include Genetic Associations and Epidemiology (7 papers), Nutrition, Genetics, and Disease (2 papers) and BRCA gene mutations in cancer (2 papers). Hye-Mi Jang is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Nutrition, Genetics, and Disease (2 papers) and BRCA gene mutations in cancer (2 papers). Hye-Mi Jang collaborates with scholars based in South Korea, United States and Puerto Rico. Hye-Mi Jang's co-authors include Mi Yeong Hwang, Bong-Jo Kim, Young Jin Kim, Sohee Han, Sanghoon Moon, Kyungheon Yoon, Dong Mun Shin, Tae Joo Park, Yontao Lu and Jae Kyung Park and has published in prestigious journals such as Nature Communications, Scientific Reports and Human Molecular Genetics.

In The Last Decade

Hye-Mi Jang

8 papers receiving 238 citations

Peers

Hye-Mi Jang

GENET

EPIDE

EDM

SURGE

Kyungheon Yoon South Korea

Dong Mun Shin South Korea

Savita Karthikeyan United Kingdom

Roxana Popescu Romania

Radosław Dębiec United Kingdom

Maen D. Abou Ziki United States

M. V. Kranthi Kumar India

Kofi Agyenim‐Boateng Ghana

Humaira Rasheed Norway

Tahmineh Tabrizian United States

Kyungheon Yoon South Korea

Hye-Mi Jang

119 ×1.0

GENET

74 ×0.9

48 ×0.9

EPIDE

28 ×1.0

EDM

26 ×1.0

SURGE

Citations per year, relative to Hye-Mi Jang Hye-Mi Jang (= 1×) peers Kyungheon Yoon

Countries citing papers authored by Hye-Mi Jang

Since Specialization

Citations

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

Fields of papers citing papers by Hye-Mi Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye-Mi Jang. 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 Hye-Mi Jang. The network helps show where Hye-Mi Jang may publish in the future.

Co-authorship network of co-authors of Hye-Mi Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Hye-Mi Jang. A scholar is included among the top collaborators of Hye-Mi Jang 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 Hye-Mi Jang. Hye-Mi Jang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Jang, Hye-Mi, et al.. (2025). SLC30A8 Rare Variant Modify Contribution of Common Genetic and Lifestyle Factors toward Type 2 Diabetes Mellitus. Diabetes & Metabolism Journal. 50(2). 385–395. 1 indexed citations

Jang, Hye-Mi, et al.. (2025). Differential contributions of cardiovascular health-related lifestyle factors to epigenetic ageing: implications for healthy longevity. BMC Medicine. 23(1). 545–545.

Jang, Hye-Mi, et al.. (2024). Evaluating cardiovascular disease risk stratification using multiple-polygenic risk scores and pooled cohort equations: insights from a 17-year longitudinal Korean cohort study. Frontiers in Genetics. 15. 1364993–1364993.

Kim, Young Jin, Sanghoon Moon, Mi Yeong Hwang, et al.. (2022). The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians. Nature Communications. 13(1). 6642–6642. 26 indexed citations

Kim, Young Jin, Hye-Mi Jang, Mi Yeong Hwang, et al.. (2022). Phenome-wide association study of the major histocompatibility complex region in the Korean population identifies novel association signals. Human Molecular Genetics. 31(15). 2655–2667. 3 indexed citations

Jang, Hye-Mi, Mi Yeong Hwang, Bong-Jo Kim, & Young Jin Kim. (2021). Validation and genetic heritability estimation of known type 2 diabetes related variants in the Korean population. Genomics & Informatics. 19(4). e37–e37. 4 indexed citations

Jang, Hye-Mi, Min‐Jung Kang, Yu‐Jin Jeong, et al.. (2020). TLR2 and the NLRP3 inflammasome mediate IL-1β production in Prevotella nigrescens-infected dendritic cells. International Journal of Medical Sciences. 18(2). 432–440. 19 indexed citations

Moon, Sanghoon, Young Jin Kim, Sohee Han, et al.. (2019). The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits. Scientific Reports. 9(1). 1382–1382. 182 indexed citations

Choi, Jiyoung, Hye-Mi Jang, Sohee Han, et al.. (2019). Recapitulation of previously reported associations for type 2 diabetes and metabolic traits in the 126K East Asians. Genomics & Informatics. 17(4). e48–e48. 3 indexed citations

10.

Jang, Hye-Mi & Tae-Ho Choi. (2017). Influence of Kinds of Chinese Ink on Deterioration Characteristics of the Hanji. Journal of Korea Technical Association of The Pulp and Paper Industry. 49(2). 97–107.

11.

Jang, Hye-Mi, et al.. (2011). Manufacture of Colored Hanji for Interior Materials from Natural Pigments (Part 1) - Manufacture of Super Eight Colors Changhoji -. 43(1). 36–46. 2 indexed citations

12.

Kang, Minseok, et al.. (2011). On Estimating Interception Storage Capacity of Litter Layer at Gwangneung Deciduous Forest. Korean Journal of Agricultural and Forest Meteorology. 13(2). 87–92. 2 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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