Yoon Jin Cha
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Cancer Cells and Metastasis
Papers in
- Oncology 52
- Cancer Immunotherapy and Biomarkers 21
- Cancer Cells and Metastasis 9
- HER2/EGFR in Cancer Research 7
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- Breast Cancer Treatment Studies 12
- Co-authors
- Ja Seung Koo (25 shared papers)Hyo Sup Shim (21 shared papers)Hye Ryun Kim (11 shared papers)Junjeong Choi (2 shared papers)Byoung Chul Cho (10 shared papers)Joon Jeong (35 shared papers)Chang Young Lee (8 shared papers)Sung Gwe Ahn (35 shared papers)
- Journals
- Scientific Reports (11 papers)Cancers (9 papers)PLoS ONE (8 papers)Lung Cancer (5 papers)Breast Cancer Research (4 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Yoon Jin Cha
170 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 525
- Oncology 932
- Pulmonary and Respiratory Medicine 778
- Genetics 165
- Immunology 255
Countries citing papers authored by Yoon Jin Cha
This map shows the geographic impact of Yoon Jin 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 Yoon Jin Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoon Jin Cha more than expected).
Fields of papers citing papers by Yoon Jin Cha
This network shows the impact of papers produced by Yoon Jin 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 Yoon Jin Cha. The network helps show where Yoon Jin Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoon Jin 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
Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 211 | |
| 2 | 2015 | 155 | |
| 3 | 2016 | 129 | |
| 4 | 2021 | 114 | |
| 5 | 2020 | 88 | |
| 6 | 2015 | 77 | |
| 7 | 2014 | 71 | |
| 8 | 2017 | 70 | |
| 9 | 2019 | 60 | |
| 10 | 2015 | 59 | |
| 11 | 2016 | 58 | |
| 12 | 2014 | 55 | |
| 13 | 2016 | 53 | |
| 14 | 2020 | 45 | |
| 15 | 2024 | 44 | |
| 16 | 2016 | 42 | |
| 17 | 2018 | 42 | |
| 18 | 2017 | 42 | |
| 19 | 2018 | 41 | |
| 20 | 2022 | 40 |
About Yoon Jin Cha
Yoon Jin Cha is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Pathology and Forensic Medicine, having authored 185 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (21 papers), Lung Cancer Treatments and Mutations (16 papers), Breast Cancer Treatment Studies (12 papers), Lung Cancer Diagnosis and Treatment (12 papers), Breast Lesions and Carcinomas (10 papers), Cancer Cells and Metastasis (9 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and HER2/EGFR in Cancer Research (7 papers). The work is most often cited by research in Cancer Research (525 citations), Oncology (932 citations), Pulmonary and Respiratory Medicine (778 citations), Genetics (165 citations) and Immunology (255 citations). Yoon Jin Cha has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Ja Seung Koo, Hyo Sup Shim, Hye Ryun Kim, Junjeong Choi, Byoung Chul Cho, Joon Jeong, Chang Young Lee, Sung Gwe Ahn, Soong June Bae and Inho Jo. Their work appears in journals such as Scientific Reports, Cancers, PLoS ONE, Lung Cancer and Breast 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.