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 67
- Hematopoietic Stem Cell Transplantation 54
- Acute Myeloid Leukemia Research 32
- Platelet Disorders and Treatments 9
- Immunology 24
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 12
- Co-authors
- Xiao‐Jun Huang (70 shared papers)Lan‐Ping Xu (72 shared papers)Yu‐Hong Chen (66 shared papers)Kai‐Yan Liu (60 shared papers)Yu Wang (57 shared papers)Huan Chen (57 shared papers)Xiaohui Zhang (52 shared papers)Dai‐Hong Liu (23 shared papers)
- Journals
- Transplantation and Cellular Therapy (12 papers)Annals of Hematology (6 papers)Blood (6 papers)Clinical Transplantation (5 papers)International Journal of Molecular Sciences (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Han
131 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 120
- Hematology 1.2k
- Immunology 516
- Transplantation 49
- Genetics 187
- Oncology 355
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-authors
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
Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 210 | |
| 2 | 2010 | 134 | |
| 3 | 2015 | 118 | |
| 4 | 2016 | 88 | |
| 5 | 2017 | 71 | |
| 6 | 2009 | 64 | |
| 7 | 2008 | 61 | |
| 8 | 2021 | 59 | |
| 9 | 2010 | 56 | |
| 10 | 2008 | 52 | |
| 11 | 2021 | 50 | |
| 12 | 2022 | 40 | |
| 13 | 2015 | 37 | |
| 14 | 2011 | 36 | |
| 15 | 2012 | 31 | |
| 16 | 2020 | 29 | |
| 17 | 2013 | 27 | |
| 18 | 2018 | 26 | |
| 19 | 2015 | 25 | |
| 20 | 2015 | 25 |
About Wei Han
Wei Han is a scholar working on Hematology, Immunology, Oncology, Epidemiology and Pharmaceutical Science, having authored 141 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (54 papers), Acute Myeloid Leukemia Research (32 papers), Immune Cell Function and Interaction (14 papers), Acute Lymphoblastic Leukemia research (14 papers), T-cell and B-cell Immunology (12 papers), Platelet Disorders and Treatments (9 papers), Fluorine in Organic Chemistry (7 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Hematology (1.2k citations), Immunology (516 citations), Transplantation (49 citations), Genetics (187 citations) and Oncology (355 citations). Wei Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiao‐Jun Huang, Lan‐Ping Xu, Yu‐Hong Chen, Kai‐Yan Liu, Yu Wang, Huan Chen, Xiaohui Zhang, Dai‐Hong Liu, Jingzhi Wang and Chen‐Hua Yan. Their work appears in journals such as Transplantation and Cellular Therapy, Annals of Hematology, Blood, Clinical Transplantation and International Journal of Molecular Sciences.
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.