Ming Yao
Impact in
- Hematology top 0.2%
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Mesenchymal stem cell research
Papers in
- Hematology 104
- Acute Myeloid Leukemia Research 76
- Hematopoietic Stem Cell Transplantation 14
- Multiple Myeloma Research and Treatments 8
- Genetics 20
- Mesenchymal stem cell research 12
- Co-authors
- Hwei‐Fang Tien (89 shared papers)Jih‐Luh Tang (82 shared papers)Yao‐Chang Chen (24 shared papers)Woei Tsay (48 shared papers)Dongming Huang (16 shared papers)Bor‐Sheng Ko (61 shared papers)Yee‐Chun Chen (29 shared papers)Wen‐Chien Chou (62 shared papers)
- Journals
- Blood (22 papers)Blood Cancer Journal (11 papers)Annals of Hematology (11 papers)Leukemia (10 papers)American Journal of Hematology (7 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ming Yao
185 papers receiving 8.5k citations
Peers
Comparison fields: 5 of 126
- Hematology 4k
- Genetics 755
- Biomaterials 774
- Biomedical Engineering 857
- Pathology and Forensic Medicine 381
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 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 556 | |
| 2 | 2006 | 445 | |
| 3 | 2005 | 371 | |
| 4 | 2009 | 308 | |
| 5 | 2009 | 302 | |
| 6 | 2011 | 276 | |
| 7 | 2013 | 237 | |
| 8 | 2011 | 216 | |
| 9 | 2010 | 191 | |
| 10 | 2010 | 189 | |
| 11 | 2005 | 183 | |
| 12 | 2008 | 180 | |
| 13 | 2004 | 155 | |
| 14 | 2010 | 153 | |
| 15 | 2010 | 153 | |
| 16 | 2006 | 152 | |
| 17 | 2010 | 145 | |
| 18 | 2015 | 136 | |
| 19 | 2008 | 122 | |
| 20 | 2008 | 121 |
About Ming Yao
Ming Yao is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Biomaterials, having authored 192 papers that have together received 8.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (76 papers), Lymphoma Diagnosis and Treatment (21 papers), Hematopoietic Stem Cell Transplantation (14 papers), Mesenchymal stem cell research (12 papers), Nanoparticle-Based Drug Delivery (8 papers), Multiple Myeloma Research and Treatments (8 papers), Characterization and Applications of Magnetic Nanoparticles (7 papers) and Viral-associated cancers and disorders (7 papers). The work is most often cited by research in Hematology (4k citations), Genetics (755 citations), Biomaterials (774 citations), Biomedical Engineering (857 citations) and Pathology and Forensic Medicine (381 citations). Ming Yao has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hwei‐Fang Tien, Jih‐Luh Tang, Yao‐Chang Chen, Woei Tsay, Dongming Huang, Bor‐Sheng Ko, Yee‐Chun Chen, Wen‐Chien Chou, Chien‐Yuan Chen and Yann Hung. Their work appears in journals such as Blood, Blood Cancer Journal, Annals of Hematology, Leukemia and American Journal of Hematology.
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.