Wei Han
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Hematology 78
- Hematopoietic Stem Cell Transplantation 67
- Acute Myeloid Leukemia Research 38
- Platelet Disorders and Treatments 9
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- Renal Transplantation Outcomes and Treatments 8
- Co-authors
- Xiao‐Jun HuangLan‐Ping XuYu‐Hong ChenKai‐Yan LiuYu WangHuan ChenDai‐Hong LiuXiaohui Zhang
- Journals
- Biology of Blood and Marrow Transplantation (12 papers)Blood (7 papers)Bone Marrow Transplantation (6 papers)Annals of Hematology (5 papers)Clinical Transplantation (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Han
149 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 119
- Hematology 1.4k
- Immunology 681
- Transplantation 82
- Genetics 228
- Oncology 520
Countries citing papers authored by Wei Han
This map shows the geographic impact of Wei Han'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 Wei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Han more than expected).
Fields of papers citing papers by Wei Han
This network shows the impact of papers produced by Wei Han. 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 Wei Han. The network helps show where Wei Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Han, 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 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 0 | |
| 9 | 2019 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2015 | 20 | |
| 12 | 2013 | 27 | |
| 13 | 2013 | 19 | |
| 14 | GGH WFGD Device Settings of Tech-economic Analysis and Environmental Impact | 2010 | 1 |
| 15 | Research on the Requirement of Carrier Aircraft Maintenance Support Force | 2010 | 0 |
| 16 | 2010 | 54 | |
| 17 | 2010 | 125 | |
| 18 | 2008 | 61 | |
| 19 | Serological Investigation of Swine Influenza in Tianjin Region | 2006 | 1 |
| 20 | Quad-Redundant Fault-Tolerant Computer Architecture and Reliability Analysis | 2003 | 2 |
About Wei Han
Wei Han is a scholar working on Hematology, Transplantation, Immunology, Pharmaceutical Science and Oncology, having authored 156 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (67 papers), Acute Myeloid Leukemia Research (38 papers), Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (16 papers), Acute Lymphoblastic Leukemia research (15 papers), Cytomegalovirus and herpesvirus research (13 papers), Platelet Disorders and Treatments (9 papers) and Renal Transplantation Outcomes and Treatments (8 papers). The work is most often cited by research in Hematology (1.4k citations), Immunology (681 citations), Transplantation (82 citations), Genetics (228 citations) and Oncology (520 citations). Wei Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiao‐Jun Huang, Lan‐Ping Xu, Yu‐Hong Chen, Kai‐Yan Liu, Yu Wang, Huan Chen, Dai‐Hong Liu, Xiaohui Zhang, Jingzhi Wang and Chen‐Hua Yan. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Bone Marrow Transplantation, Annals of Hematology and Clinical Transplantation.
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.