Heejoon Chae

730 citations
41 papers · 520 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Epigenetics and DNA Methylation
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • RNA modifications and cancer

Papers in

    • Epigenetics and DNA Methylation 11
    • Gene expression and cancer classification 9
    • Bioinformatics and Genomic Networks 7
    • Genomics and Phylogenetic Studies 5
    • RNA modifications and cancer 5
    • Single-cell and spatial transcriptomics 3

Heejoon Chae

39 papers receiving 508 citations

Peers

Heejoon Chae
Comparison fields: 5 of 79
  • Cancer Research 95
  • Molecular Biology 300
  • Information Systems and Management 25
  • Health Informatics 4
  • Pulmonary and Respiratory Medicine 73
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Heejoon Chae relative to Neha Parikh United States Neha Parikh's profile →
Citations per field
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Neha Parikh · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Heejoon Chae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heejoon Chae Line = papers co-authored together Heejoon Chae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011122
2 202342
3 201441
4 202038
5 201331
6 201222
7 201720
8 201919
9 201219
10 201318
11 201914
12 201613
13 201512
14 202011
15 201611
16 201310
17 20219
18 20237
19 20216
20 20195

About Heejoon Chae

Heejoon Chae is a scholar working on Molecular Biology, Genetics, Cancer Research, Computer Networks and Communications and Information Systems and Management, having authored 41 papers that have together received 520 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (5 papers), Single-cell and spatial transcriptomics (3 papers), MicroRNA in disease regulation (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (95 citations), Molecular Biology (300 citations), Information Systems and Management (25 citations), Health Informatics (4 citations) and Pulmonary and Respiratory Medicine (73 citations). Heejoon Chae has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Sun Kim, Mary W. Ferris, Barbara J. Graves, Peter C. Hollenhorst, Sung-Min Rhee, Kenneth P. Nephew, Kwangsoo Kim, Sung‐Joon Park, Jared M. Evans and Sangseon Lee. Their work appears in journals such as BMC Bioinformatics, Methods, Bioinformatics, PeerJ and Journal of Bioinformatics and Computational Biology.

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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