Dai‐Hong Liu
- Hematology top 0.1%
- Hematopoietic Stem Cell Transplantation 146
- Acute Myeloid Leukemia Research 77
- Chronic Myeloid Leukemia Treatments 27
- Transplantation top 2%
- Immunology top 2%
- Immune Cell Function and Interaction 25
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 24
- Oncology top 2%
- Polyomavirus and related diseases 22
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- Acute Lymphoblastic Leukemia research 44
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- Cytomegalovirus and herpesvirus research 35
- Cited by
- HematologyTransplantationImmunology
- Journals
- SHILAP Revista de lepidopterología (3 papers)Blood (22 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dai‐Hong Liu
235 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Hematology 3.6k
- Transplantation 182
- Immunology 1.4k
- Genetics 595
- Oncology 1.2k
Countries citing papers authored by Dai‐Hong Liu
This map shows the geographic impact of Dai‐Hong Liu'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 Dai‐Hong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai‐Hong Liu more than expected).
Fields of papers citing papers by Dai‐Hong Liu
This network shows the impact of papers produced by Dai‐Hong Liu. 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 Dai‐Hong Liu. The network helps show where Dai‐Hong Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dai‐Hong Liu, 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 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 10 | |
| 7 | 2021 | 1 | |
| 8 | 2016 | 122 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 3 | |
| 11 | 2015 | 3 | |
| 12 | 2014 | 1 | |
| 13 | [The efficacy and safety of recombinant human granulocyte colony stimulating factor primed donor peripheral cell harvest in treatment of poor graft function after allogeneic stem cell transplantation]. | 2013 | 4 |
| 14 | 2013 | 4 | |
| 15 | 2013 | 12 | |
| 16 | [Etiological analysis of fever in the first 24 hours following allogeneic peripheral stem cell transfusion]. | 2012 | 4 |
| 17 | 2010 | 54 | |
| 18 | 2010 | 125 | |
| 19 | Etiology of diarrhea after allogeneic haemopoietic stem cell transplantation: a retrospective study. | 2009 | 2 |
| 20 | 2008 | 61 |
About Dai‐Hong Liu
Dai‐Hong Liu is a scholar working on Hematology, Genetics and Transplantation, having authored 251 papers that have together received 4.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (146 papers), Acute Myeloid Leukemia Research (77 papers), Acute Lymphoblastic Leukemia research (44 papers), Cytomegalovirus and herpesvirus research (35 papers), Chronic Myeloid Leukemia Treatments (27 papers), Immune Cell Function and Interaction (25 papers), Chronic Lymphocytic Leukemia Research (24 papers) and Polyomavirus and related diseases (22 papers). The work is most often cited by research in Hematology (3.6k citations), Transplantation (182 citations) and Immunology (1.4k citations). Dai‐Hong Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiao‐Jun Huang, Lan‐Ping Xu, Kai‐Yan Liu, Yu‐Hong Chen, Yu Wang, Huan Chen, Xiaohui Zhang, Wei Han, Chen‐Hua Yan and Jingzhi Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood 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.