Weiping Yuan
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
Papers in
- Hematology 57
- Acute Myeloid Leukemia Research 32
- Hematopoietic Stem Cell Transplantation 20
- Co-authors
- Tao ChengMark A. MagnusonJing XuXiao‐Bing ZhangLeslie V. PariseJianping ZhangWeili WangXiaomin Wang
- Journals
- Blood (15 papers)Leukemia (8 papers)Experimental Hematology (4 papers)Scientific Reports (3 papers)Cancer Medicine (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weiping Yuan
133 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 119
- Hematology 644
- Molecular Biology 2.1k
- Aging 53
- Immunology 487
- Cancer Research 334
Countries citing papers authored by Weiping Yuan
This map shows the geographic impact of Weiping Yuan'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 Weiping Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiping Yuan more than expected).
Fields of papers citing papers by Weiping Yuan
This network shows the impact of papers produced by Weiping Yuan. 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 Weiping Yuan. The network helps show where Weiping Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiping Yuan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 9 | |
| 8 | 2018 | 15 | |
| 9 | 2018 | 18 | |
| 10 | 2017 | 35 | |
| 11 | 2016 | 22 | |
| 12 | 2016 | 18 | |
| 13 | 2016 | 21 | |
| 14 | 2016 | 28 | |
| 15 | 2015 | 14 | |
| 16 | Interleukin 8/KC enhances G-CSF induced hematopoietic stem/progenitor cell mobilization in Fancg deficient mice | 2014 | 2 |
| 17 | 2014 | 13 | |
| 18 | 2013 | 24 | |
| 19 | 2012 | 14 | |
| 20 | 2010 | 77 |
About Weiping Yuan
Weiping Yuan is a scholar working on Hematology, Cancer Research, Genetics, Molecular Biology and Immunology, having authored 141 papers that have together received 3.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (32 papers), Epigenetics and DNA Methylation (22 papers), Hematopoietic Stem Cell Transplantation (20 papers), CRISPR and Genetic Engineering (16 papers), RNA modifications and cancer (13 papers), PI3K/AKT/mTOR signaling in cancer (13 papers), Immune Cell Function and Interaction (13 papers) and Pluripotent Stem Cells Research (13 papers). The work is most often cited by research in Hematology (644 citations), Molecular Biology (2.1k citations), Aging (53 citations), Immunology (487 citations) and Cancer Research (334 citations). Weiping Yuan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tao Cheng, Mark A. Magnuson, Jing Xu, Xiao‐Bing Zhang, Leslie V. Parise, Jianping Zhang, Weili Wang, Xiaomin Wang, Xiaolan Li and Wanqiu Chen. Their work appears in journals such as Blood, Leukemia, Experimental Hematology, Scientific Reports and Cancer Medicine.
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.