Heesoon Chang
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
- Autophagy in Disease and Therapy
Papers in
- Oncology 12
- Viral-associated cancers and disorders 12
- Epidemiology 12
- Cytomegalovirus and herpesvirus research 10
- Herpesvirus Infections and Treatments 5
- Co-authors
- Jae U. Jung (13 shared papers)Sun Hwa Lee (5 shared papers)Shou‐Jiang Gao (2 shared papers)Jong‐Soo Lee (4 shared papers)Hye-Ra Lee (3 shared papers)Pinghui Feng (3 shared papers)June‐Yong Lee (1 shared paper)Qinglin Li (1 shared paper)
- Journals
- Journal of Virology (10 papers)Translational Vision Science & Technology (1 paper)PLoS Pathogens (1 paper)Nature Cell Biology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Heesoon Chang
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 63
- Oncology 717
- Epidemiology 779
- Parasitology 67
- Immunology 202
- Physiology 36
Countries citing papers authored by Heesoon Chang
This map shows the geographic impact of Heesoon Chang'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 Heesoon Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heesoon Chang more than expected).
Fields of papers citing papers by Heesoon Chang
This network shows the impact of papers produced by Heesoon Chang. 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 Heesoon Chang. The network helps show where Heesoon Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Heesoon Chang, 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 | 2009 | 327 | |
| 2 | 2012 | 276 | |
| 3 | 2006 | 111 | |
| 4 | 2009 | 62 | |
| 5 | 2005 | 62 | |
| 6 | 2005 | 57 | |
| 7 | 2009 | 50 | |
| 8 | 2006 | 43 | |
| 9 | 2004 | 32 | |
| 10 | 2011 | 32 | |
| 11 | 2005 | 28 | |
| 12 | 2005 | 21 | |
| 13 | 2019 | 20 | |
| 14 | 2019 | 10 | |
| 15 | 2020 | 9 | |
| 16 | Notch signal transduction induces a novel profile of Kaposi's sarcoma-associated herpesvirus gene expression. | 2006 | 9 |
| 17 | 2024 | 6 | |
| 18 | 2024 | 2 | |
| 19 | 2006 | 2 |
About Heesoon Chang
Heesoon Chang is a scholar working on Oncology, Epidemiology, Immunology, Molecular Biology and Physiology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (12 papers), Cytomegalovirus and herpesvirus research (10 papers), Herpesvirus Infections and Treatments (5 papers), Retinal Development and Disorders (3 papers), Histiocytic Disorders and Treatments (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Toxoplasma gondii Research Studies (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Oncology (717 citations), Epidemiology (779 citations), Parasitology (67 citations), Immunology (202 citations) and Physiology (36 citations). Heesoon Chang has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Jae U. Jung, Sun Hwa Lee, Shou‐Jiang Gao, Jong‐Soo Lee, Hye-Ra Lee, Pinghui Feng, June‐Yong Lee, Qinglin Li, Fuchun Zhou and Chengyu Liang. Their work appears in journals such as Journal of Virology, Translational Vision Science & Technology, PLoS Pathogens, Nature Cell Biology and The Journal of Experimental Medicine.
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.