Li Xuan
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Hematology 64
- Hematopoietic Stem Cell Transplantation 47
- Acute Myeloid Leukemia Research 28
- Chronic Myeloid Leukemia Treatments 12
- Epidemiology 31
- Cytomegalovirus and herpesvirus research 17
- Co-authors
- Qifa Liu (72 shared papers)Fen Huang (63 shared papers)Zhiping Fan (64 shared papers)Yun‐Cheng Wu (5 shared papers)Jing Sun (47 shared papers)Na Xu (37 shared papers)Xiaojun Xu (4 shared papers)Ren Lin (31 shared papers)
- Journals
- Blood (16 papers)Journal of Hematology & Oncology (5 papers)Journal of Translational Medicine (5 papers)Frontiers in Immunology (4 papers)British Journal of Haematology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Li Xuan
133 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 152
- Hematology 750
- Applied Microbiology and Biotechnology 61
- Geriatrics and Gerontology 87
- Molecular Medicine 109
- Genetics 194
Countries citing papers authored by Li Xuan
This map shows the geographic impact of Li Xuan'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 Li Xuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Xuan more than expected).
Fields of papers citing papers by Li Xuan
This network shows the impact of papers produced by Li Xuan. 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 Li Xuan. The network helps show where Li Xuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Xuan, 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 108 | |
| 2 | 2020 | 107 | |
| 3 | 2021 | 95 | |
| 4 | 2016 | 89 | |
| 5 | 2018 | 69 | |
| 6 | 2019 | 68 | |
| 7 | 2008 | 67 | |
| 8 | 2016 | 67 | |
| 9 | 2012 | 65 | |
| 10 | 2014 | 63 | |
| 11 | 2017 | 56 | |
| 12 | 2017 | 55 | |
| 13 | 2021 | 53 | |
| 14 | 2019 | 52 | |
| 15 | 2022 | 48 | |
| 16 | 2018 | 43 | |
| 17 | 2017 | 40 | |
| 18 | 2019 | 40 | |
| 19 | 2013 | 32 | |
| 20 | 2020 | 30 |
About Li Xuan
Li Xuan is a scholar working on Hematology, Epidemiology, Molecular Biology, Oncology and Public Health, Environmental and Occupational Health, having authored 153 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (47 papers), Acute Myeloid Leukemia Research (28 papers), Acute Lymphoblastic Leukemia research (19 papers), Cytomegalovirus and herpesvirus research (17 papers), Chronic Myeloid Leukemia Treatments (12 papers), Polyomavirus and related diseases (11 papers), Mesenchymal stem cell research (10 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Hematology (750 citations), Applied Microbiology and Biotechnology (61 citations), Geriatrics and Gerontology (87 citations), Molecular Medicine (109 citations) and Genetics (194 citations). Li Xuan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qifa Liu, Fen Huang, Zhiping Fan, Yun‐Cheng Wu, Jing Sun, Na Xu, Xiaojun Xu, Ren Lin, Ya Feng and Xiao‐Jun Huang. Their work appears in journals such as Blood, Journal of Hematology & Oncology, Journal of Translational Medicine, Frontiers in Immunology and British Journal of Haematology.
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.