Ching Ouyang
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
Papers in
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- Cancer, Hypoxia, and Metabolism 6
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- Immune Cell Function and Interaction 4
- Co-authors
- Marwan Fakih (6 shared papers)Jaideep Singh Sandhu (5 shared papers)Joseph Chao (2 shared papers)Dean W. Lim (2 shared papers)Samuel Jacob Klempner (1 shared paper)V.A. Miller (1 shared paper)Siraj Mahamed Ali (1 shared paper)Ethan S. Sokol (1 shared paper)
- Journals
- The Oncologist (3 papers)PLoS ONE (3 papers)Blood (2 papers)Theranostics (1 paper)iScience (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Ching Ouyang
29 papers receiving 1.4k citations
Ching Ouyang's Hit Papers
Peers
Comparison fields: 5 of 86
- Cancer Research 362
- Oncology 501
- Pathology and Forensic Medicine 219
- Immunology 203
- Biotechnology 52
Countries citing papers authored by Ching Ouyang
This map shows the geographic impact of Ching Ouyang'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 Ching Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching Ouyang more than expected).
Fields of papers citing papers by Ching Ouyang
This network shows the impact of papers produced by Ching Ouyang. 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 Ching Ouyang. The network helps show where Ching Ouyang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching Ouyang, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumor mutational burden is predictive of response to immune checkpoint inhibitors in MSI-high metastatic colorectal cancer Hit paper breakdown → | 2019 | 494 |
| 2 | 2018 | 126 | |
| 3 | 2019 | 110 | |
| 4 | 2021 | 101 | |
| 5 | 2016 | 67 | |
| 6 | 2019 | 65 | |
| 7 | 2016 | 57 | |
| 8 | 2019 | 48 | |
| 9 | 2013 | 41 | |
| 10 | 2018 | 36 | |
| 11 | 2020 | 32 | |
| 12 | 2019 | 31 | |
| 13 | 2018 | 28 | |
| 14 | 2000 | 26 | |
| 15 | 2020 | 24 | |
| 16 | 2023 | 19 | |
| 17 | 2022 | 17 | |
| 18 | 2022 | 17 | |
| 19 | 2008 | 12 | |
| 20 | 2024 | 12 |
About Ching Ouyang
Ching Ouyang is a scholar working on Cancer Research, Immunology, Biotechnology, Molecular Biology and Oncology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Immune Cell Function and Interaction (4 papers), Cancer Research and Treatments (3 papers), Genomics and Chromatin Dynamics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA Research and Splicing (3 papers), CAR-T cell therapy research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (362 citations), Oncology (501 citations), Pathology and Forensic Medicine (219 citations), Immunology (203 citations) and Biotechnology (52 citations). Ching Ouyang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Marwan Fakih, Jaideep Singh Sandhu, Joseph Chao, Dean W. Lim, Samuel Jacob Klempner, V.A. Miller, Siraj Mahamed Ali, Ethan S. Sokol, Fadi Braiteh and Dexter X. Jin. Their work appears in journals such as The Oncologist, PLoS ONE, Blood, Theranostics and iScience.
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.