Danny Yu
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Reproductive Medicine top 10%
- Ovarian function and disorders
Papers in
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- Peroxisome Proliferator-Activated Receptors 4
- Epigenetics and DNA Methylation 2
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- Immune cells in cancer 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Bernard M. Corfe (3 shared papers)Jennifer S. Waby (3 shared papers)Haridasan Chirakkal (2 shared papers)Gökhan S. Hotamışlıgil (4 shared papers)Sule Çataltepe (4 shared papers)Linlin Zhou (4 shared papers)Carolyn A. Staton (2 shared papers)Elisa Ghelfi (3 shared papers)
- Journals
- Molecular Cancer (3 papers)International Immunopharmacology (2 papers)American Journal of Tropical Medicine and Hygiene (2 papers)Angiogenesis (2 papers)Breast Cancer Research (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Danny Yu
32 papers receiving 787 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 125
- Reproductive Medicine 49
- Molecular Biology 389
- Oncology 107
- Immunology 82
Countries citing papers authored by Danny Yu
This map shows the geographic impact of Danny Yu'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 Danny Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Yu more than expected).
Fields of papers citing papers by Danny Yu
This network shows the impact of papers produced by Danny Yu. 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 Danny Yu. The network helps show where Danny Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Yu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 127 | |
| 2 | 2010 | 99 | |
| 3 | 2010 | 97 | |
| 4 | 2013 | 64 | |
| 5 | 2015 | 58 | |
| 6 | 2015 | 44 | |
| 7 | 2024 | 41 | |
| 8 | 2008 | 39 | |
| 9 | 2010 | 37 | |
| 10 | 1999 | 30 | |
| 11 | 2011 | 29 | |
| 12 | 2013 | 28 | |
| 13 | 2014 | 22 | |
| 14 | 2023 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 1981 | 10 | |
| 18 | 2007 | 9 | |
| 19 | 1970 | 7 | |
| 20 | 2022 | 7 |
About Danny Yu
Danny Yu is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Pharmacology and Oncology, having authored 36 papers that have together received 804 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Ocular Infections and Treatments (3 papers), Respiratory Support and Mechanisms (2 papers), Immune cells in cancer (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cancer Research (125 citations), Reproductive Medicine (49 citations), Molecular Biology (389 citations), Oncology (107 citations) and Immunology (82 citations). Danny Yu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Bernard M. Corfe, Jennifer S. Waby, Haridasan Chirakkal, Gökhan S. Hotamışlıgil, Sule Çataltepe, Linlin Zhou, Carolyn A. Staton, Elisa Ghelfi, Harun Elmasri and Gareth Griffiths. Their work appears in journals such as Molecular Cancer, International Immunopharmacology, American Journal of Tropical Medicine and Hygiene, Angiogenesis 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.