Hui Yang
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
Papers in
- Hematology 77
- Acute Myeloid Leukemia Research 69
- Chronic Myeloid Leukemia Treatments 10
- Hematopoietic Stem Cell Transplantation 9
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- Histone Deacetylase Inhibitors Research 29
- Epigenetics and DNA Methylation 27
- RNA modifications and cancer 9
- Co-authors
- Guillermo Garcia‐Manero (103 shared papers)Yue Wei (46 shared papers)Hagop M. Kantarjian (48 shared papers)Blanca Sánchez‐González (12 shared papers)Zeev Estrov (13 shared papers)Irene Gañán‐Gómez (28 shared papers)Jörge E. Cortes (15 shared papers)Stefan Faderl (13 shared papers)
- Journals
- Blood (61 papers)Leukemia (7 papers)Leukemia Research (6 papers)Journal of Clinical Oncology (6 papers)PLoS ONE (5 papers)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Hui Yang
131 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 108
- Hematology 1.7k
- Genetics 455
- Molecular Biology 2.4k
- Immunology 575
- Cancer Research 292
Countries citing papers authored by Hui Yang
This map shows the geographic impact of Hui 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 Hui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Yang more than expected).
Fields of papers citing papers by Hui Yang
This network shows the impact of papers produced by Hui 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 Hui Yang. The network helps show where Hui Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Yang, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 380 | |
| 2 | 2007 | 298 | |
| 3 | 2008 | 193 | |
| 4 | 2006 | 183 | |
| 5 | 2015 | 180 | |
| 6 | 2013 | 173 | |
| 7 | 2005 | 127 | |
| 8 | 2013 | 126 | |
| 9 | 2008 | 125 | |
| 10 | 2012 | 125 | |
| 11 | 2008 | 123 | |
| 12 | 2010 | 92 | |
| 13 | 2010 | 87 | |
| 14 | 2005 | 86 | |
| 15 | 2010 | 81 | |
| 16 | 2021 | 81 | |
| 17 | 2013 | 79 | |
| 18 | 2006 | 67 | |
| 19 | 2022 | 65 | |
| 20 | 2014 | 65 |
About Hui Yang
Hui Yang is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Public Health, Environmental and Occupational Health, having authored 135 papers that have together received 4.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (69 papers), Histone Deacetylase Inhibitors Research (29 papers), Epigenetics and DNA Methylation (27 papers), Acute Lymphoblastic Leukemia research (16 papers), Chronic Myeloid Leukemia Treatments (10 papers), Hematopoietic Stem Cell Transplantation (9 papers), RNA modifications and cancer (9 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (455 citations), Molecular Biology (2.4k citations), Immunology (575 citations) and Cancer Research (292 citations). Hui Yang has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Guillermo Garcia‐Manero, Yue Wei, Hagop M. Kantarjian, Blanca Sánchez‐González, Zeev Estrov, Irene Gañán‐Gómez, Jörge E. Cortes, Stefan Faderl, William G. Wierda and Farhad Ravandi. Their work appears in journals such as Blood, Leukemia, Leukemia Research, Journal of Clinical Oncology 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.