Mi-Ryung Han

584 total citations
24 papers, 409 citations indexed

About

Mi-Ryung Han is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Mi-Ryung Han has authored 24 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Mi-Ryung Han's work include Epigenetics and DNA Methylation (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Cancer Genomics and Diagnostics (4 papers). Mi-Ryung Han is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Cancer Genomics and Diagnostics (4 papers). Mi-Ryung Han collaborates with scholars based in South Korea, United States and China. Mi-Ryung Han's co-authors include Li‐San Wang, Gerard D. Schellenberg, Sug Hyung Lee, Youn Jin Choi, Seung‐Hyun Jung, Yeun‐Jun Chung, Sung Hak Lee, Gi‐Young Kim, Soo Young Hur and Sun Shin and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Mi-Ryung Han

22 papers receiving 405 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-Ryung Han South Korea 11 208 108 104 62 55 24 409
Eskandar Taghizadeh Iran 14 230 1.1× 85 0.8× 54 0.5× 35 0.6× 34 0.6× 35 492
Limeng Dai China 13 211 1.0× 71 0.7× 70 0.7× 69 1.1× 28 0.5× 36 429
Anna Sobczuk Poland 10 217 1.0× 79 0.7× 97 0.9× 24 0.4× 72 1.3× 34 426
Yang Hai China 12 190 0.9× 57 0.5× 86 0.8× 55 0.9× 12 0.2× 31 447
Guangjing Zhu United States 11 340 1.6× 73 0.7× 38 0.4× 52 0.8× 49 0.9× 17 512
Matthew McFarlane United States 9 210 1.0× 52 0.5× 54 0.5× 87 1.4× 98 1.8× 16 500
Ornella Affinito Italy 14 290 1.4× 65 0.6× 59 0.6× 37 0.6× 30 0.5× 31 437
Rui Cheng China 12 396 1.9× 69 0.6× 29 0.3× 34 0.5× 36 0.7× 40 640
Maria Troullinaki Germany 11 159 0.8× 35 0.3× 80 0.8× 34 0.5× 44 0.8× 15 440
Michelle Yam Australia 14 365 1.8× 61 0.6× 28 0.3× 49 0.8× 22 0.4× 19 547

Countries citing papers authored by Mi-Ryung Han

Since Specialization
Citations

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

Fields of papers citing papers by Mi-Ryung Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi-Ryung Han

This figure shows the co-authorship network connecting the top 25 collaborators of Mi-Ryung Han. A scholar is included among the top collaborators of Mi-Ryung Han 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-Ryung Han. Mi-Ryung Han 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.
Han, Mi-Ryung, et al.. (2025). Role of cold-inducible RNA-binding protein in hypothalamic regulation of feeding behavior during fasting and cold exposure. Biochemical and Biophysical Research Communications. 757. 151616–151616. 1 indexed citations
2.
Feng, Yun, Mi-Ryung Han, Yuhang Zhou, et al.. (2025). The multifaceted role of microbiota in liver cancer: pathogenesis, therapy, prognosis, and immunotherapy. Frontiers in Immunology. 16. 1575963–1575963. 2 indexed citations
3.
Han, Mi-Ryung, Yun Gi Kim, Yeji Kim, et al.. (2024). Epigenetic regulation on left atrial function and disease recurrence after catheter ablation in atrial fibrillation. Clinical Epigenetics. 16(1). 183–183. 2 indexed citations
4.
Han, Kyu‐Man, Aram Kim, Youbin Kang, et al.. (2024). Neuroimaging and epigenetic analysis reveal novel epigenetic loci in major depressive disorder. Psychological Medicine. 54(10). 2585–2598.
5.
6.
Yoon, Sung Min, Eun‐Hae Cho, Mi-Ryung Han, et al.. (2023). Shallow Whole-Genome Sequencing of Cell-Free DNA (cfDNA) Detects Epithelial Ovarian Cancer and Predicts Patient Prognosis. Cancers. 15(2). 530–530. 3 indexed citations
7.
Yoon, Sung Min, et al.. (2023). MGMT Methylation Is Associated with Human Papillomavirus Infection in Cervical Dysplasia: A Longitudinal Study. Journal of Clinical Medicine. 12(19). 6188–6188. 3 indexed citations
8.
Park, Byong Seo, et al.. (2023). Whole Transcriptome Analysis of Hypothalamus in Mice during Short-Term Starvation. International Journal of Molecular Sciences. 24(4). 3204–3204. 6 indexed citations
9.
Park, Ah Young, Mi-Ryung Han, Bo Kyoung Seo, et al.. (2023). MRI-based breast cancer radiogenomics using RNA profiling: association with subtypes in a single-center prospective study. Breast Cancer Research. 25(1). 11 indexed citations
10.
Han, Mi-Ryung, Ah Young Park, Bo Kyoung Seo, et al.. (2023). Association between vascular ultrasound features and DNA sequencing in breast cancer: a preliminary study. Discover Oncology. 14(1). 52–52. 5 indexed citations
11.
Han, Kyu‐Man, Kwan Woo Choi, Aram Kim, et al.. (2022). Association of DNA Methylation of the NLRP3 Gene with Changes in Cortical Thickness in Major Depressive Disorder. International Journal of Molecular Sciences. 23(10). 5768–5768. 19 indexed citations
12.
Yoon, Sung Min, Jun Kang, Soo Young Hur, et al.. (2022). Whole-Exome Sequencing Reveals Clinical Potential of Circulating Tumor DNA from Peritoneal Fluid and Plasma in Endometrial Cancer. Cancers. 14(10). 2506–2506. 6 indexed citations
13.
Jung, Seung‐Hyun, Youn Jin Choi, Min Sung Kim, et al.. (2020). Distinct genomic profiles of gestational choriocarcinoma, a unique cancer of pregnant tissues. Experimental & Molecular Medicine. 52(12). 2046–2054. 11 indexed citations
14.
Han, Mi-Ryung, et al.. (2020). Clinical Implications of Circulating Tumor DNA from Ascites and Serial Plasma in Ovarian Cancer. Cancer Research and Treatment. 52(3). 779–788. 34 indexed citations
15.
Shin, Sun, Min Sung Kim, Mi-Ryung Han, et al.. (2018). Whole-exome sequencing identified mutational profiles of squamous cell carcinomas of anus. Human Pathology. 80. 1–10. 7 indexed citations
16.
Guo, Xingyi, Weiqiang Lin, Jiandong Bao, et al.. (2018). A Comprehensive cis-eQTL Analysis Revealed Target Genes in Breast Cancer Susceptibility Loci Identified in Genome-wide Association Studies. The American Journal of Human Genetics. 102(5). 890–903. 56 indexed citations
17.
Han, Mi-Ryung, Sun Shin, Min Sung Kim, et al.. (2018). Mutational signatures and chromosome alteration profiles of squamous cell carcinomas of the vulva. Experimental & Molecular Medicine. 50(2). e442–e442. 44 indexed citations
18.
Han, Mi-Ryung, Sandra Deming-Halverson, Qiuyin Cai, et al.. (2014). Evaluating 17 breast cancer susceptibility loci in the Nashville breast health study. Breast Cancer. 22(5). 544–551. 16 indexed citations
19.
20.
Han, Wonshik, Mi-Ryung Han, Jason Kang, et al.. (2006). Genomic alterations identified by array comparative genomic hybridization as prognostic markers in tamoxifen-treated estrogen receptor-positive breast cancer. BMC Cancer. 6(1). 92–92. 56 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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