Ling‐Yu Wu
Impact in
- Biochemistry top 5%
- Sulfur Compounds in Biology
- Spectroscopy top 10%
- Molecular Sensors and Ion Detection
Papers in
-
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 3
- Oncology 5
- Co-authors
- Po‐Lin Kuo (8 shared papers)Ya‐Ling Hsu (8 shared papers)Xiang Zhou (7 shared papers)Ming‐Shyan Huang (3 shared papers)Chih‐Jen Yang (2 shared papers)Rong Huang (3 shared papers)Xiaocheng Weng (2 shared papers)Shengyong Yan (2 shared papers)
In The Last Decade
Ling‐Yu Wu
27 papers receiving 634 citations
Peers
Comparison fields: 5 of 93
- Biochemistry 82
- Spectroscopy 93
- Molecular Biology 328
- Pharmacology 39
- Cancer Research 42
Countries citing papers authored by Ling‐Yu Wu
This map shows the geographic impact of Ling‐Yu Wu'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 Ling‐Yu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling‐Yu Wu more than expected).
Fields of papers citing papers by Ling‐Yu Wu
This network shows the impact of papers produced by Ling‐Yu Wu. 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 Ling‐Yu Wu. The network helps show where Ling‐Yu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling‐Yu Wu, 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 | 2016 | 115 | |
| 2 | 2013 | 97 | |
| 3 | 2011 | 68 | |
| 4 | 2010 | 60 | |
| 5 | 2019 | 40 | |
| 6 | 2019 | 36 | |
| 7 | 2014 | 27 | |
| 8 | 2018 | 25 | |
| 9 | 2018 | 23 | |
| 10 | 2018 | 18 | |
| 11 | 2019 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2020 | 13 | |
| 15 | [Bag3 gene expression in chronic lymphocytic leukemia and its association with patients' prognosis]. | 2010 | 11 |
| 16 | 2019 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2020 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2020 | 7 |
About Ling‐Yu Wu
Ling‐Yu Wu is a scholar working on Molecular Biology, Oncology, Cancer Research, Rheumatology and Hematology, having authored 27 papers that have together received 642 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), MicroRNA in disease regulation (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Molecular Sensors and Ion Detection (2 papers), Erythropoietin and Anemia Treatment (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Biochemistry (82 citations), Spectroscopy (93 citations), Molecular Biology (328 citations), Pharmacology (39 citations) and Cancer Research (42 citations). Ling‐Yu Wu has collaborated with scholars based in China, Taiwan and Maldives. Frequent co-authors include Po‐Lin Kuo, Ya‐Ling Hsu, Xiang Zhou, Ming‐Shyan Huang, Chih‐Jen Yang, Rong Huang, Xiaocheng Weng, Shengyong Yan, Wei‐An Chang and Shuo Feng. Their work appears in journals such as Advanced Science, International Journal of Medical Sciences, Journal of Clinical Medicine, Redox Report and Journal of Agricultural and Food Chemistry.
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.