Heonjong Han
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- RNA modifications and cancer
- Gene expression and cancer classification
- RNA Research and Splicing
Papers in
-
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Pluripotent Stem Cells Research 2
- RNA modifications and cancer 2
- Genetics 6
- Genomics and Rare Diseases 5
- Genetics and Neurodevelopmental Disorders 2
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Insuk Lee (8 shared papers)Hyeon-Nae Jeon (1 shared paper)Sunmo Yang (1 shared paper)Michael Chung (1 shared paper)Hyojin Kim (1 shared paper)Byunghee Kang (1 shared paper)Yaeji Kim (1 shared paper)Dabin Jeong (1 shared paper)
- Journals
- Nature Communications (3 papers)npj Genomic Medicine (2 papers)Nucleic Acids Research (2 papers)Stem Cell Reports (1 paper)Annals of Human Genetics (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Heonjong Han
13 papers receiving 1.5k citations
Heonjong Han's Hit Papers
Peers
Comparison fields: 5 of 102
- Cancer Research 213
- Molecular Biology 807
- Immunology 190
- Oncology 142
- Neurology 43
Countries citing papers authored by Heonjong Han
This map shows the geographic impact of Heonjong 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 Heonjong Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heonjong Han more than expected).
Fields of papers citing papers by Heonjong Han
This network shows the impact of papers produced by Heonjong 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 Heonjong Han. The network helps show where Heonjong Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Heonjong Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions Hit paper breakdown → | 2017 | 1286 |
| 2 | 2021 | 48 | |
| 3 | 2023 | 28 | |
| 4 | 2016 | 25 | |
| 5 | 2019 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2016 | 17 | |
| 8 | 2018 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2025 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 0 |
About Heonjong Han
Heonjong Han is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), Bioinformatics and Genomic Networks (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers), Pluripotent Stem Cells Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (213 citations), Molecular Biology (807 citations), Immunology (190 citations), Oncology (142 citations) and Neurology (43 citations). Heonjong Han has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Insuk Lee, Hyeon-Nae Jeon, Sunmo Yang, Michael Chung, Hyojin Kim, Byunghee Kang, Yaeji Kim, Dabin Jeong, Eunbeen Kim and Muyoung Lee. Their work appears in journals such as Nature Communications, npj Genomic Medicine, Nucleic Acids Research, Stem Cell Reports and Annals of Human Genetics.
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.