Y Wang
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 10%
Papers in
- Hematology 14
- Hematopoietic Stem Cell Transplantation 11
- Acute Myeloid Leukemia Research 6
- Oncology 7
- Polyomavirus and related diseases 3
- Viral-associated cancers and disorders 3
- Co-authors
- Haijie Liang (1 shared paper)Yidan Zhang (1 shared paper)Tao Ji (1 shared paper)Wei Guo (1 shared paper)Any Cheung (1 shared paper)Hys Ngan (1 shared paper)Weizhi Xue (1 shared paper)Xiao‐Jun Huang (14 shared papers)
- Journals
- Bone Marrow Transplantation (6 papers)Molecular Therapy (1 paper)The Bone & Joint Journal (1 paper)British Journal of Cancer (1 paper)Leukemia (1 paper)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Y Wang
21 papers receiving 606 citations
Peers
Comparison fields: 5 of 53
- Hematology 274
- Transplantation 18
- Immunology 100
- Cancer Research 56
- Genetics 38
Countries citing papers authored by Y Wang
This map shows the geographic impact of Y Wang'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 Y Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y Wang more than expected).
Fields of papers citing papers by Y Wang
This network shows the impact of papers produced by Y Wang. 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 Y Wang. The network helps show where Y Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Y Wang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 162 | |
| 2 | 2006 | 136 | |
| 3 | 2012 | 90 | |
| 4 | 2016 | 82 | |
| 5 | 2011 | 56 | |
| 6 | 2010 | 24 | |
| 7 | 2016 | 14 | |
| 8 | 2010 | 14 | |
| 9 | 2016 | 12 | |
| 10 | 2017 | 9 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 3 | |
| 13 | [Increased risk of severe acute graft-versus-host disease in low body mass index patients undergoing haploidentical allogeneic stem cell transplantation]. | 2014 | 3 |
| 14 | 2023 | 2 | |
| 15 | [Application of seven prediction models of vaginal birth after cesarean in a Chinese hospital]. | 2016 | 2 |
| 16 | 2023 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Y Wang
Y Wang is a scholar working on Hematology, Oncology, Immunology, Public Health, Environmental and Occupational Health and Surgery, having authored 29 papers that have together received 621 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Acute Myeloid Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (4 papers), Polyomavirus and related diseases (3 papers), Viral-associated cancers and disorders (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Orthopedic Surgery and Rehabilitation (1 paper). The work is most often cited by research in Hematology (274 citations), Transplantation (18 citations), Immunology (100 citations), Cancer Research (56 citations) and Genetics (38 citations). Y Wang has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Haijie Liang, Yidan Zhang, Tao Ji, Wei Guo, Any Cheung, Hys Ngan, Weizhi Xue, Xiao‐Jun Huang, Lan‐Ping Xu and L-P Xu. Their work appears in journals such as Bone Marrow Transplantation, Molecular Therapy, The Bone & Joint Journal, British Journal of Cancer and Leukemia.
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.