Hongui Cha
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
-
- Cancer Genomics and Diagnostics
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 7
-
- Cancer Genomics and Diagnostics 4
- Co-authors
- Myung‐Ju Ahn (7 shared papers)Jin Seok Ahn (7 shared papers)Se‐Hoon Lee (12 shared papers)Woong‐Yang Park (8 shared papers)Keunchil Park (6 shared papers)Jin-Ho Kim (3 shared papers)Yoon‐La Choi (3 shared papers)Jong‐Mu Sun (3 shared papers)
- Journals
- Cancer Research (3 papers)Annals of Oncology (2 papers)Science Advances (1 paper)Nature Communications (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Hongui Cha
16 papers receiving 572 citations
Peers
Comparison fields: 5 of 52
- Oncology 264
- Cancer Research 125
- Pulmonary and Respiratory Medicine 136
- Immunology 88
- Radiology, Nuclear Medicine and Imaging 89
Countries citing papers authored by Hongui Cha
This map shows the geographic impact of Hongui Cha'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 Hongui Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongui Cha more than expected).
Fields of papers citing papers by Hongui Cha
This network shows the impact of papers produced by Hongui Cha. 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 Hongui Cha. The network helps show where Hongui Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongui Cha, 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 | 2020 | 97 | |
| 2 | 2018 | 89 | |
| 3 | 2017 | 76 | |
| 4 | 2019 | 76 | |
| 5 | 2019 | 37 | |
| 6 | 2020 | 30 | |
| 7 | 2022 | 30 | |
| 8 | 2024 | 29 | |
| 9 | 2022 | 23 | |
| 10 | 2023 | 21 | |
| 11 | 2020 | 21 | |
| 12 | 2022 | 16 | |
| 13 | 2024 | 14 | |
| 14 | 2020 | 11 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 0 |
About Hongui Cha
Hongui Cha is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 576 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Cancer Genomics and Diagnostics (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Immunotherapy and Immune Responses (2 papers), vaccines and immunoinformatics approaches (2 papers), Biomarkers in Disease Mechanisms (1 paper), Ferroptosis and cancer prognosis (1 paper) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Oncology (264 citations), Cancer Research (125 citations), Pulmonary and Respiratory Medicine (136 citations), Immunology (88 citations) and Radiology, Nuclear Medicine and Imaging (89 citations). Hongui Cha has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Myung‐Ju Ahn, Jin Seok Ahn, Se‐Hoon Lee, Woong‐Yang Park, Keunchil Park, Jin-Ho Kim, Yoon‐La Choi, Jong‐Mu Sun, Je‐Gun Joung and Hong Sook Kim. Their work appears in journals such as Cancer Research, Annals of Oncology, Science Advances, Nature Communications and Clinical Cancer 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.