Chi‐Ping Day
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- CAR-T cell therapy research
- HER2/EGFR in Cancer Research
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
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- Single-cell and spatial transcriptomics 4
-
- Cancer Genomics and Diagnostics 8
- Co-authors
- Glenn Merlino (22 shared papers)Hui‐Wen Lo (2 shared papers)Mien‐Chie Hung (2 shared papers)M. Raza Zaidi (3 shared papers)Norihisa Hanada (1 shared paper)Yusuke Nakajima (1 shared paper)Yong Pan (1 shared paper)Eva Pérez‐Guijarro (4 shared papers)
- Journals
- Nature Communications (3 papers)Cancer Research (3 papers)Pigment Cell & Melanoma Research (2 papers)Journal of Investigative Dermatology (2 papers)Developmental Cell (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Chi‐Ping Day
37 papers receiving 969 citations
Peers
Comparison fields: 5 of 85
- Oncology 370
- Immunology 237
- Cancer Research 120
- Cell Biology 121
- Immunology and Allergy 38
Countries citing papers authored by Chi‐Ping Day
This map shows the geographic impact of Chi‐Ping Day'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 Chi‐Ping Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Ping Day more than expected).
Fields of papers citing papers by Chi‐Ping Day
This network shows the impact of papers produced by Chi‐Ping Day. 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 Chi‐Ping Day. The network helps show where Chi‐Ping Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi‐Ping Day, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 152 | |
| 2 | 2013 | 133 | |
| 3 | 2020 | 79 | |
| 4 | 2021 | 58 | |
| 5 | 2008 | 56 | |
| 6 | 2005 | 56 | |
| 7 | 2017 | 52 | |
| 8 | 2018 | 46 | |
| 9 | 2009 | 41 | |
| 10 | 2022 | 41 | |
| 11 | 2022 | 40 | |
| 12 | 2017 | 35 | |
| 13 | 2014 | 32 | |
| 14 | 2011 | 25 | |
| 15 | 2023 | 23 | |
| 16 | 2016 | 18 | |
| 17 | 2020 | 14 | |
| 18 | 2025 | 12 | |
| 19 | 2022 | 10 | |
| 20 | 2019 | 9 |
About Chi‐Ping Day
Chi‐Ping Day is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Genetics, having authored 37 papers that have together received 978 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Virus-based gene therapy research (5 papers), Cancer Research and Treatments (5 papers), Single-cell and spatial transcriptomics (4 papers), melanin and skin pigmentation (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Oncology (370 citations), Immunology (237 citations), Cancer Research (120 citations), Cell Biology (121 citations) and Immunology and Allergy (38 citations). Chi‐Ping Day has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Glenn Merlino, Hui‐Wen Lo, Mien‐Chie Hung, M. Raza Zaidi, Norihisa Hanada, Yusuke Nakajima, Yong Pan, Eva Pérez‐Guijarro, Hannah H. Yan and Sudheer Kumar Gara. Their work appears in journals such as Nature Communications, Cancer Research, Pigment Cell & Melanoma Research, Journal of Investigative Dermatology and Developmental Cell.
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.