Cheng-Ying Chu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Biotechnology top 5%
- Cancer Research and Treatments
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 2
- Epigenetics and DNA Methylation 2
-
- interferon and immune responses 3
- Aquaculture disease management and microbiota 3
- Invertebrate Immune Response Mechanisms 2
- Co-authors
- Hsing-Jien Kung (6 shared papers)Yun Yen (5 shared papers)Chia‐Hsiung Cheng (7 shared papers)Chang-Jen Huang (7 shared papers)Chun A. Changou (3 shared papers)Yen‐Ling Yu (2 shared papers)David K. Ann (2 shared papers)Jing-Wen Shih (1 shared paper)
- Journals
- Fish & Shellfish Immunology (3 papers)Nature Communications (1 paper)Clinical Cancer Research (1 paper)Marine Biotechnology (1 paper)Journal of Hematology & Oncology (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Cheng-Ying Chu
19 papers receiving 777 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 310
- Biotechnology 94
- Immunology 127
- Molecular Biology 418
- Oncology 102
Countries citing papers authored by Cheng-Ying Chu
This map shows the geographic impact of Cheng-Ying Chu'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 Cheng-Ying Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Ying Chu more than expected).
Fields of papers citing papers by Cheng-Ying Chu
This network shows the impact of papers produced by Cheng-Ying Chu. 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 Cheng-Ying Chu. The network helps show where Cheng-Ying Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng-Ying Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 161 | |
| 2 | 2017 | 160 | |
| 3 | 2017 | 70 | |
| 4 | 2014 | 56 | |
| 5 | 2007 | 53 | |
| 6 | 2016 | 51 | |
| 7 | 2017 | 44 | |
| 8 | 2021 | 39 | |
| 9 | 2008 | 24 | |
| 10 | 2010 | 24 | |
| 11 | 2020 | 24 | |
| 12 | 2014 | 20 | |
| 13 | 2008 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2017 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2010 | 8 | |
| 18 | 2025 | 6 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Cheng-Ying Chu
Cheng-Ying Chu is a scholar working on Molecular Biology, Immunology, Surgery, Oncology and Cell Biology, having authored 20 papers that have together received 785 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Aquaculture disease management and microbiota (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Epigenetics and DNA Methylation (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Cancer Research and Treatments (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (310 citations), Biotechnology (94 citations), Immunology (127 citations), Molecular Biology (418 citations) and Oncology (102 citations). Cheng-Ying Chu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hsing-Jien Kung, Yun Yen, Chia‐Hsiung Cheng, Chang-Jen Huang, Chun A. Changou, Yen‐Ling Yu, David K. Ann, Jing-Wen Shih, Yun‐Ru Chen and Shikha Gaur. Their work appears in journals such as Fish & Shellfish Immunology, Nature Communications, Clinical Cancer Research, Marine Biotechnology and Journal of Hematology & Oncology.
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.