Yung‐Li Yang
- Hematology top 2%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Shiann‐Tarng JouDong‐Tsamn LinMeng‐Yao LuHsiu‐Hao ChangKai‐Hsin LinWen‐Ming HsuPing‐Ing LeePo‐Ren Hsueh
- Topics
- Acute Lymphoblastic Leukemia research (24 papers)Neuroblastoma Research and Treatments (15 papers)Acute Myeloid Leukemia Research (13 papers)
- Cited by
- HematologyGeneticsNeurology
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Yung‐Li Yang
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Hematology 364
- Molecular Biology 358
- Public Health, Environmental and Occupational Health 339
- Genetics 228
- Pediatrics, Perinatology and Child Health 209
Countries citing papers authored by Yung‐Li Yang
This map shows the geographic impact of Yung‐Li Yang'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 Yung‐Li Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung‐Li Yang more than expected).
Fields of papers citing papers by Yung‐Li Yang
This network shows the impact of papers produced by Yung‐Li Yang. 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 Yung‐Li Yang. The network helps show where Yung‐Li Yang may publish in the future.
Co-authorship network of co-authors of Yung‐Li Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Li Yang. A scholar is included among the top collaborators of Yung‐Li Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yung‐Li Yang. Yung‐Li Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | A microRNA signature for clinical outcomes of pediatric ALL patients treated with TPOG protocols | 1 |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 38 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 39 | |
| 14 | 5 | |
| 15 | Study the therapeutic effect of the high activity FIX variants using hemophilia B mouse model | 1 |
| 16 | 14 | |
| 17 | 8 | |
| 18 | 33 | |
| 19 | 18 | |
| 20 | Polymorphonuclear neutrophil chemotaxis in Chinese patients with post-juvenile periodontitis and rapidly progressive periodontitis. | 4 |
About Yung‐Li Yang
Yung‐Li Yang is a scholar working on Hematology, Genetics and Pediatrics, Perinatology and Child Health, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (24 papers), Neuroblastoma Research and Treatments (15 papers) and Acute Myeloid Leukemia Research (13 papers). The work is most often cited by research in Hematology (364 citations), Genetics (228 citations) and Neurology (179 citations). Yung‐Li Yang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Shiann‐Tarng Jou, Dong‐Tsamn Lin, Meng‐Yao Lu, Hsiu‐Hao Chang, Kai‐Hsin Lin, Wen‐Ming Hsu, Ping‐Ing Lee, Po‐Ren Hsueh, Shu‐Wha Lin and Steven Shinn‐Forng Peng. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.