Heejoon Chae

711 total citations
42 papers, 477 citations indexed

About

Heejoon Chae is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Heejoon Chae has authored 42 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Heejoon Chae's work include Epigenetics and DNA Methylation (13 papers), Gene expression and cancer classification (11 papers) and Bioinformatics and Genomic Networks (10 papers). Heejoon Chae is often cited by papers focused on Epigenetics and DNA Methylation (13 papers), Gene expression and cancer classification (11 papers) and Bioinformatics and Genomic Networks (10 papers). Heejoon Chae collaborates with scholars based in South Korea, United States and Ethiopia. Heejoon Chae's co-authors include Sun Kim, Peter C. Hollenhorst, Mary W. Ferris, Barbara J. Graves, Kenneth P. Nephew, Sung-Min Rhee, Kwangsoo Kim, Sung‐Joon Park, Jared M. Evans and Sangseon Lee and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and Bioinformatics.

In The Last Decade

Heejoon Chae

40 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heejoon Chae South Korea 12 321 111 77 54 42 42 477
Shruti Rao United States 13 193 0.6× 134 1.2× 50 0.6× 66 1.2× 18 0.4× 31 406
Yafei Wang China 13 264 0.8× 157 1.4× 69 0.9× 123 2.3× 23 0.5× 32 586
Su Yun Chung United States 12 373 1.2× 74 0.7× 69 0.9× 146 2.7× 20 0.5× 29 597
H. Zhong United States 14 278 0.9× 121 1.1× 117 1.5× 101 1.9× 38 0.9× 32 630
Philip Stegmaier Germany 13 304 0.9× 70 0.6× 27 0.4× 53 1.0× 43 1.0× 21 498
Nicholas P. Gauthier United States 12 510 1.6× 103 0.9× 20 0.3× 60 1.1× 19 0.5× 19 655
Neha Parikh United States 11 276 0.9× 130 1.2× 39 0.5× 131 2.4× 30 0.7× 11 431
Lujia Chen United States 12 359 1.1× 112 1.0× 53 0.7× 85 1.6× 37 0.9× 36 603
Yanrong Ji United States 7 726 2.3× 317 2.9× 125 1.6× 64 1.2× 77 1.8× 9 909
Diogo Ferreira da Costa Patrão Brazil 8 252 0.8× 118 1.1× 30 0.4× 94 1.7× 25 0.6× 17 378

Countries citing papers authored by Heejoon Chae

Since Specialization
Citations

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

Fields of papers citing papers by Heejoon Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heejoon Chae. 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 Heejoon Chae. The network helps show where Heejoon Chae may publish in the future.

Co-authorship network of co-authors of Heejoon Chae

This figure shows the co-authorship network connecting the top 25 collaborators of Heejoon Chae. A scholar is included among the top collaborators of Heejoon Chae 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 Heejoon Chae. Heejoon Chae 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.
2.
Chae, Heejoon, et al.. (2023). moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks. BMC Bioinformatics. 24(1). 169–169. 36 indexed citations
3.
Chae, Heejoon, et al.. (2023). meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles. BMC Bioinformatics. 24(1). 168–168. 6 indexed citations
4.
Chae, Heejoon, et al.. (2020). methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder. BMC Bioinformatics. 21(1). 181–181. 11 indexed citations
5.
6.
7.
Chae, Heejoon, et al.. (2018). BiSpark: a Spark-based highly scalable aligner for bisulfite sequencing data. BMC Bioinformatics. 19(1). 472–472. 4 indexed citations
8.
Chae, Heejoon, et al.. (2018). Cloud-BS: A MapReduce-based bisulfite sequencing aligner on cloud. Journal of Bioinformatics and Computational Biology. 16(6). 1840028–1840028.
9.
Oh, Minsik, Sung-Min Rhee, Heejoon Chae, et al.. (2017). Literature-based condition-specific miRNA-mRNA target prediction. PLoS ONE. 12(3). e0174999–e0174999. 20 indexed citations
10.
11.
Hur, Benjamin, Sangsoo Lim, Heejoon Chae, et al.. (2016). CLIP-GENE: a web service of the condition specific context-laid integrative analysis for gene prioritization in mouse TF knockout experiments. Biology Direct. 11(1). 57–57. 1 indexed citations
12.
Chae, Heejoon, et al.. (2016). Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines. BMC Systems Biology. 10(S4). 116–116. 13 indexed citations
13.
Rhee, Sung-Min, et al.. (2015). PlantMirnaT: miRNA and mRNA integrated analysis fully utilizing characteristics of plant sequencing data. Methods. 83. 80–87. 11 indexed citations
14.
15.
Chae, Heejoon, Sung-Min Rhee, Kenneth P. Nephew, & Sun Kim. (2014). BioVLAB-MMIA-NGS: microRNA–mRNA integrated analysis using high-throughput sequencing data. Bioinformatics. 31(2). 265–267. 34 indexed citations
16.
Chae, Heejoon, Jongho Park, S.-W. Lee, Kenneth P. Nephew, & Seokhyeon Kim. (2013). Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes. Nucleic Acids Research. 41(9). 4783–4791. 18 indexed citations
17.
Chae, Heejoon, Inuk Jung, Hyungro Lee, et al.. (2013). Bio and health informatics meets cloud : BioVLab as an example. Health Information Science and Systems. 1(1). 6–6. 8 indexed citations
18.
Evans, Jared M., et al.. (2013). Determining the Effect of DNA Methylation on Gene Expression in Cancer Cells. Methods in molecular biology. 1101. 161–178. 30 indexed citations
19.
Lee, Hyungro, Youngik Yang, Heejoon Chae, et al.. (2012). BioVLAB-MMIA: A Cloud Environment for microRNA and mRNA Integrated Analysis (MMIA) on Amazon EC2. IEEE Transactions on NanoBioscience. 11(3). 266–272. 18 indexed citations
20.
Hollenhorst, Peter C., et al.. (2011). Oncogenic ETS proteins mimic activated RAS/MAPK signaling in prostate cells. Genes & Development. 25(20). 2147–2157. 118 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shruti Rao Breakdown of academic impact, for papers by Yafei Wang Breakdown of academic impact, for papers by Su Yun Chung Breakdown of academic impact, for papers by H. Zhong Breakdown of academic impact, for papers by Philip Stegmaier Breakdown of academic impact, for papers by Nicholas P. Gauthier Breakdown of academic impact, for papers by Neha Parikh Breakdown of academic impact, for papers by Lujia Chen Breakdown of academic impact, for papers by Yanrong Ji Breakdown of academic impact, for papers by Diogo Ferreira da Costa Patrão
Rankless by CCL
2026