Ming Yao
Impact in
- Hematology top 0.2%
- Acute Myeloid Leukemia Research
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Mesenchymal stem cell research
Papers in
- Hematology 75
- Acute Myeloid Leukemia Research 56
- Hematopoietic Stem Cell Transplantation 13
- Multiple Myeloma Research and Treatments 12
- Co-authors
- Hwei‐Fang Tien (77 shared papers)Jih‐Luh Tang (82 shared papers)Yao‐Chang Chen (24 shared papers)Dongming Huang (16 shared papers)Woei Tsay (50 shared papers)Bor‐Sheng Ko (60 shared papers)Yee‐Chun Chen (34 shared papers)Chien‐Yuan Chen (36 shared papers)
- Journals
- Blood (22 papers)Leukemia (9 papers)Annals of Hematology (8 papers)Blood Cancer Journal (6 papers)PLoS ONE (5 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ming Yao
274 papers receiving 8.1k citations
Ming Yao's Hit Papers
Peers
Comparison fields: 5 of 172
- Hematology 2.8k
- Genetics 1.4k
- Biomaterials 1.0k
- Cancer Research 793
- Molecular Biology 2.7k
Countries citing papers authored by Ming Yao
This map shows the geographic impact of Ming Yao'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 Ming Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yao more than expected).
Fields of papers citing papers by Ming Yao
This network shows the impact of papers produced by Ming Yao. 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 Ming Yao. The network helps show where Ming Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yao, 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 290 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The effect of surface charge on the uptake and biological function of mesoporous silica nanoparticles in 3T3-L1 cells and human mesenchymal stem cells Hit paper breakdown → | 2007 | 549 |
| 2 | 2006 | 445 | |
| 3 | 2005 | 370 | |
| 4 | 2009 | 309 | |
| 5 | 2009 | 267 | |
| 6 | 2013 | 215 | |
| 7 | Somatic mutations of the von Hippel-Lindau tumor suppressor gene in sporadic central nervous system hemangioblastomas. | 1994 | 184 |
| 8 | 2008 | 178 | |
| 9 | 2010 | 171 | |
| 10 | 2005 | 168 | |
| 11 | 2010 | 161 | |
| 12 | 2004 | 150 | |
| 13 | 2010 | 150 | |
| 14 | 2020 | 143 | |
| 15 | 2010 | 133 | |
| 16 | 2006 | 130 | |
| 17 | 2010 | 123 | |
| 18 | 2008 | 122 | |
| 19 | 2008 | 121 | |
| 20 | 2015 | 115 |
About Ming Yao
Ming Yao is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 290 papers that have together received 8.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (56 papers), Lymphoma Diagnosis and Treatment (26 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (25 papers), Hematopoietic Stem Cell Transplantation (13 papers), Viral-associated cancers and disorders (13 papers), Multiple Myeloma Research and Treatments (12 papers), Acute Lymphoblastic Leukemia research (10 papers) and Chronic Lymphocytic Leukemia Research (10 papers). The work is most often cited by research in Hematology (2.8k citations), Genetics (1.4k citations), Biomaterials (1.0k citations), Cancer Research (793 citations) and Molecular Biology (2.7k citations). Ming Yao has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Hwei‐Fang Tien, Jih‐Luh Tang, Yao‐Chang Chen, Dongming Huang, Woei Tsay, Bor‐Sheng Ko, Yee‐Chun Chen, Chien‐Yuan Chen, Wen‐Chien Chou and Yann Hung. Their work appears in journals such as Blood, Leukemia, Annals of Hematology, Blood Cancer Journal and PLoS ONE.
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.