Kyle Chang
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Cells and Metastasis
- Colorectal Cancer Treatments and Studies
- Cancer Immunotherapy and Biomarkers
Papers in ⓘ
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- Genetic factors in colorectal cancer 15
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- Cancer Genomics and Diagnostics 12
- Co-authors
- Eduardo Vilar (14 shared papers)Steven M. Lipkin (3 shared papers)Miriam Gordillo (1 shared paper)Tuo Zhang (1 shared paper)Miguel Crespo (1 shared paper)Nina H. Pipalia (1 shared paper)Tara Srinivasan (1 shared paper)Mavee Witherspoon (1 shared paper)
- Journals
- Cancer Research (4 papers)Cancer Prevention Research (3 papers)Clinical Cancer Research (2 papers)Nature Medicine (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
Kyle Chang
24 papers receiving 812 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 244
- Oncology 432
- Pathology and Forensic Medicine 204
- Molecular Biology 353
- Biotechnology 31
Countries citing papers authored by Kyle Chang
This map shows the geographic impact of Kyle 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 Kyle Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Chang more than expected).
Fields of papers citing papers by Kyle Chang
This network shows the impact of papers produced by Kyle 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 Kyle Chang. The network helps show where Kyle Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 293 | |
| 2 | 2017 | 137 | |
| 3 | 2019 | 62 | |
| 4 | 2016 | 61 | |
| 5 | 2012 | 49 | |
| 6 | 2018 | 38 | |
| 7 | 2019 | 30 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 19 | |
| 10 | 2016 | 18 | |
| 11 | 2024 | 17 | |
| 12 | 2012 | 15 | |
| 13 | 2014 | 15 | |
| 14 | 2017 | 12 | |
| 15 | 2021 | 10 | |
| 16 | 2020 | 7 | |
| 17 | 2011 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 3 |
About Kyle Chang
Kyle Chang is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Gastroenterology and Molecular Biology, having authored 27 papers that have together received 825 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (15 papers), Cancer Genomics and Diagnostics (12 papers), Colorectal Cancer Treatments and Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (244 citations), Oncology (432 citations), Pathology and Forensic Medicine (204 citations), Molecular Biology (353 citations) and Biotechnology (31 citations). Kyle Chang has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Eduardo Vilar, Steven M. Lipkin, Miriam Gordillo, Tuo Zhang, Miguel Crespo, Nina H. Pipalia, Tara Srinivasan, Mavee Witherspoon, Huanhuan Joyce Chen and Sadaf Amin. Their work appears in journals such as Cancer Research, Cancer Prevention Research, Clinical Cancer Research, Nature Medicine and Molecular Cancer Therapeutics.
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.