Kyle Chang
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers
Papers in
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- Cancer Genomics and Diagnostics 30
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- Genetic factors in colorectal cancer 17
- Co-authors
- Eduardo Vilar (13 shared papers)Steven M. Lipkin (3 shared papers)Miriam Gordillo (1 shared paper)Su‐Yi Tsai (1 shared paper)Jenny Xiang (1 shared paper)Huanhuan Joyce Chen (1 shared paper)Frederick R. Maxfield (1 shared paper)Tara Srinivasan (1 shared paper)
- Journals
- Cell Reports (11 papers)Cell (9 papers)Nature (5 papers)Cancer Cell (4 papers)Clinical Cancer Research (3 papers)
- Partner nations
- United StatesSpainAustralia
In The Last Decade
Kyle Chang
72 papers receiving 29.2k citations
Kyle Chang's Hit Papers
Peers
Comparison fields: 5 of 183
- Cancer Research 8.9k
- Oncology 6.9k
- Molecular Biology 15.1k
- Pulmonary and Respiratory Medicine 5.5k
- Otorhinolaryngology 724
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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive molecular characterization of clear cell renal cell carcinoma Hit paper breakdown → | 2013 | 2829 |
| 2 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 3 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 4 | Integrating common and rare genetic variation in diverse human populations Hit paper breakdown → | 2010 | 2256 |
| 5 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 6 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 7 | Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes Hit paper breakdown → | 2012 | 1704 |
| 8 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 9 | Exome Sequencing of Head and Neck Squamous Cell Carcinoma Reveals Inactivating Mutations in NOTCH1 Hit paper breakdown → | 2011 | 1463 |
| 10 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 11 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 12 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 13 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
| 14 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 15 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 16 | 2013 | 473 | |
| 17 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 456 |
| 18 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 19 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 20 | 2018 | 392 |
About Kyle Chang
Kyle Chang is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Molecular Biology and Genetics, having authored 74 papers that have together received 29.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (30 papers), Genetic factors in colorectal cancer (17 papers), RNA modifications and cancer (7 papers), Pancreatic and Hepatic Oncology Research (7 papers), Cancer-related Molecular Pathways (6 papers), Cancer-related gene regulation (6 papers), Epigenetics and DNA Methylation (5 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Cancer Research (8.9k citations), Oncology (6.9k citations), Molecular Biology (15.1k citations), Pulmonary and Respiratory Medicine (5.5k citations) and Otorhinolaryngology (724 citations). Kyle Chang has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Eduardo Vilar, Steven M. Lipkin, Miriam Gordillo, Su‐Yi Tsai, Jenny Xiang, Huanhuan Joyce Chen, Frederick R. Maxfield, Tara Srinivasan, Nina H. Pipalia and Mavee Witherspoon. Their work appears in journals such as Cell Reports, Cell, Nature, Cancer Cell 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.