Mi Yeong Hwang

6.2k total citations
27 papers, 383 citations indexed

About

Mi Yeong Hwang is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mi Yeong Hwang has authored 27 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 12 papers in Molecular Biology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mi Yeong Hwang's work include Genetic Associations and Epidemiology (16 papers), Genomic variations and chromosomal abnormalities (8 papers) and Genomics and Rare Diseases (5 papers). Mi Yeong Hwang is often cited by papers focused on Genetic Associations and Epidemiology (16 papers), Genomic variations and chromosomal abnormalities (8 papers) and Genomics and Rare Diseases (5 papers). Mi Yeong Hwang collaborates with scholars based in South Korea, United States and Japan. Mi Yeong Hwang's co-authors include Bong-Jo Kim, Young Jin Kim, Sanghoon Moon, Yun Kyoung Kim, Sohee Han, Hye-Mi Jang, Dong Mun Shin, Kyungheon Yoon, Tae Joo Park and Yontao Lu and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Mi Yeong Hwang

26 papers receiving 381 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mi Yeong Hwang South Korea 10 203 151 61 47 42 27 383
Ji Eun Lim South Korea 13 118 0.6× 223 1.5× 46 0.8× 79 1.7× 41 1.0× 42 486
Bong H. Roh United States 10 222 1.1× 150 1.0× 44 0.7× 29 0.6× 72 1.7× 12 548
Johanne Marie Justesen Denmark 14 240 1.2× 162 1.1× 84 1.4× 65 1.4× 66 1.6× 20 531
Priyanka Nandakumar United States 7 143 0.7× 145 1.0× 26 0.4× 17 0.4× 39 0.9× 7 386
Hisayo Fujita Japan 9 113 0.6× 221 1.5× 27 0.4× 18 0.4× 37 0.9× 18 442
Savita Karthikeyan United Kingdom 6 92 0.5× 130 0.9× 33 0.5× 14 0.3× 34 0.8× 12 255
Aarti Surti United States 4 188 0.9× 143 0.9× 29 0.5× 30 0.6× 71 1.7× 4 355
Roxana Gutiérrez‐Vidal Mexico 9 67 0.3× 129 0.9× 175 2.9× 52 1.1× 78 1.9× 14 374
Roxana Popescu Romania 9 65 0.3× 88 0.6× 29 0.5× 20 0.4× 21 0.5× 39 270

Countries citing papers authored by Mi Yeong Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Mi Yeong Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Yeong Hwang. 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 Mi Yeong Hwang. The network helps show where Mi Yeong Hwang may publish in the future.

Co-authorship network of co-authors of Mi Yeong Hwang

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

All Works

20 of 20 papers shown
1.
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
2.
Kim, Soyeon, Soo‐Hyun Lim, Sang‐Hyuk Jung, et al.. (2025). Polygenic overlap between subjective well-being and psychiatric disorders and cross-ancestry validation. Nature Human Behaviour. 9(6). 1272–1282.
3.
Kim, Beomsu, Mi Yeong Hwang, Injeong Shim, et al.. (2024). Large-scale cross-ancestry genome-wide meta-analysis of serum urate. Nature Communications. 15(1). 3441–3441. 17 indexed citations
4.
Kim, Soyeon, Kiwon Kim, Mi Yeong Hwang, et al.. (2022). Shared genetic architectures of subjective well-being in East Asian and European ancestry populations. Nature Human Behaviour. 6(7). 1014–1026. 7 indexed citations
5.
Hwang, Mi Yeong, et al.. (2022). Analyzing the Korean reference genome with meta-imputation increased the imputation accuracy and spectrum of rare variants in the Korean population. Frontiers in Genetics. 13. 1008646–1008646. 7 indexed citations
6.
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
7.
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
8.
Shin, Dong Mun, Mi Yeong Hwang, Bong-Jo Kim, Keun Ho Ryu, & Young Jin Kim. (2020). GEN2VCF: a converter for human genome imputation output format to VCF format. Genes & Genomics. 42(10). 1163–1168. 7 indexed citations
9.
Han, Sohee, Mi Yeong Hwang, Kyungheon Yoon, et al.. (2019). Exome chip‐driven association study of lipidemia in >14,000 Koreans and evaluation of genetic effect on identified variants between different ethnic groups. Genetic Epidemiology. 43(6). 617–628. 1 indexed citations
10.
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
11.
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
12.
Lee, Eun‐Seo, Sanghoon Moon, Dad Abu-Bonsrah, et al.. (2019). Programmable Nuclease-Based Integration into Novel Extragenic Genomic Safe Harbor Identified from Korean Population-Based CNV Analysis. Molecular Therapy — Oncolytics. 14. 253–265. 1 indexed citations
13.
Liu, Meiling, Sanghoon Moon, Yeon Jung Kim, et al.. (2017). On the association analysis of CNV data: a fast and robust family-based association method. BMC Bioinformatics. 18(1). 217–217. 1 indexed citations
14.
Kim, Yun Kyoung, Mi Yeong Hwang, Young Jin Kim, et al.. (2016). Evaluation of pleiotropic effects among common genetic loci identified for cardio-metabolic traits in a Korean population. Cardiovascular Diabetology. 15(1). 20–20. 16 indexed citations
15.
Moon, Sanghoon, Mi Yeong Hwang, Young Soo Kim, et al.. (2015). MicroRNA-650 in a copy number-variable region regulates the production of interleukin 6 in human osteosarcoma cells. Oncology Letters. 10(4). 2603–2609. 16 indexed citations
16.
Moon, Sanghoon, Mi Yeong Hwang, Young‐Jin Kim, et al.. (2014). Genome-wide copy number variation study reveals KCNIP1 as a modulator of insulin secretion. Genomics. 104(2). 113–120. 11 indexed citations
17.
Hwang, Mi Yeong, Sanghoon Moon, Young Jin Kim, et al.. (2014). Combinatorial approach to estimate copy number genotype using whole-exome sequencing data. Genomics. 105(3). 145–149. 6 indexed citations
18.
Kim, Yun Kyoung, Youngdoe Kim, Mi Yeong Hwang, et al.. (2014). Identification of a genetic variant at 2q12.1 associated with blood pressure in East-Asians by genome-wide scan including gene-environment interactions. BMC Medical Genetics. 15(1). 65–65. 13 indexed citations
19.
Kim, Yun Kyoung, Sanghoon Moon, Mi Yeong Hwang, et al.. (2012). Gene-based copy number variation study reveals a microdeletion at 12q24 that influences height in the Korean population. Genomics. 101(2). 134–138. 16 indexed citations
20.
Ahn, Chi‐Hyun, et al.. (1997). Rapamycin-induced apoptosis is p53-independent in human prostate carcinoma PC-3 cells. International Journal of Oncology. 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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