Sun‐Hee Heo
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Cells and Metastasis
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Gut microbiota and health 3
- Angiogenesis and VEGF in Cancer 3
- Bone Metabolism and Diseases 3
- Immunology 11
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 5
- Co-authors
- Je‐Yoel Cho (11 shared papers)Gyungyub Gong (16 shared papers)Young‐Ae Kim (15 shared papers)In Ah Park (13 shared papers)In Hye Song (14 shared papers)Hyun‐Mo Ryoo (5 shared papers)Hee Jin Lee (14 shared papers)Hye Seon Park (10 shared papers)
- Journals
- Oncotarget (4 papers)Cancer Research and Treatment (3 papers)Gene Expression (2 papers)BMB Reports (2 papers)Journal of Proteome Research (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Sun‐Hee Heo
44 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Oncology 454
- Immunology 363
- Periodontics 58
- Cancer Research 161
- Molecular Biology 518
Countries citing papers authored by Sun‐Hee Heo
This map shows the geographic impact of Sun‐Hee Heo'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 Sun‐Hee Heo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐Hee Heo more than expected).
Fields of papers citing papers by Sun‐Hee Heo
This network shows the impact of papers produced by Sun‐Hee Heo. 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 Sun‐Hee Heo. The network helps show where Sun‐Hee Heo may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun‐Hee Heo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 143 | |
| 2 | 2016 | 100 | |
| 3 | 2014 | 99 | |
| 4 | 2017 | 94 | |
| 5 | 2018 | 91 | |
| 6 | 2010 | 64 | |
| 7 | 2017 | 64 | |
| 8 | 2011 | 61 | |
| 9 | 2016 | 57 | |
| 10 | 2014 | 51 | |
| 11 | 2008 | 46 | |
| 12 | 2019 | 38 | |
| 13 | 2018 | 32 | |
| 14 | 2018 | 31 | |
| 15 | 2016 | 31 | |
| 16 | 2017 | 29 | |
| 17 | 2019 | 27 | |
| 18 | 2014 | 25 | |
| 19 | 2009 | 24 | |
| 20 | 2016 | 24 |
About Sun‐Hee Heo
Sun‐Hee Heo is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (5 papers), Gut microbiota and health (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Bone Metabolism and Diseases (3 papers), Protease and Inhibitor Mechanisms (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Oncology (454 citations), Immunology (363 citations), Periodontics (58 citations), Cancer Research (161 citations) and Molecular Biology (518 citations). Sun‐Hee Heo has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Je‐Yoel Cho, Gyungyub Gong, Young‐Ae Kim, In Ah Park, In Hye Song, Hyun‐Mo Ryoo, Hee Jin Lee, Hye Seon Park, Won Seon Bang and Seung‐Jin Lee. Their work appears in journals such as Oncotarget, Cancer Research and Treatment, Gene Expression, BMB Reports and Journal of Proteome Research.
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.