Xiaorui Wang
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 5
- Hematopoietic Stem Cell Transplantation 4
- Co-authors
- Weiping Han (4 shared papers)Youwen Qin (7 shared papers)Elena Kostromina (2 shared papers)Chai Liu (2 shared papers)Thomas C. Südhof (2 shared papers)Liuyang Shen (2 shared papers)Xianzhe Zheng (2 shared papers)Hongkun Xue (2 shared papers)
- Journals
- PLoS ONE (3 papers)International Journal of Hematology (3 papers)International Immunopharmacology (2 papers)Optics Express (2 papers)Annals of Hematology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaorui Wang
71 papers receiving 818 citations
Peers
Comparison fields: 5 of 135
- Biochemistry 47
- Hematology 64
- Biological Psychiatry 13
- Physiology 21
- Infectious Diseases 61
Countries citing papers authored by Xiaorui Wang
This map shows the geographic impact of Xiaorui 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 Xiaorui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaorui Wang more than expected).
Fields of papers citing papers by Xiaorui Wang
This network shows the impact of papers produced by Xiaorui 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 Xiaorui Wang. The network helps show where Xiaorui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaorui 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2015 | 64 | |
| 3 | 2018 | 50 | |
| 4 | 2023 | 36 | |
| 5 | 2015 | 34 | |
| 6 | 2019 | 33 | |
| 7 | 2022 | 32 | |
| 8 | 2010 | 31 | |
| 9 | 2022 | 27 | |
| 10 | 2019 | 24 | |
| 11 | 2015 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2024 | 18 | |
| 14 | 2024 | 18 | |
| 15 | 2019 | 18 | |
| 16 | 2014 | 17 | |
| 17 | 2013 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2010 | 17 | |
| 20 | 2020 | 15 |
About Xiaorui Wang
Xiaorui Wang is a scholar working on Molecular Biology, Hematology, Epidemiology, Immunology and Surgery, having authored 83 papers that have together received 832 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Pancreatic function and diabetes (4 papers), T-cell and B-cell Immunology (4 papers), Statistical Methods and Inference (4 papers), Land Use and Ecosystem Services (3 papers), CAR-T cell therapy research (3 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Biochemistry (47 citations), Hematology (64 citations), Biological Psychiatry (13 citations), Physiology (21 citations) and Infectious Diseases (61 citations). Xiaorui Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weiping Han, Youwen Qin, Elena Kostromina, Chai Liu, Thomas C. Südhof, Liuyang Shen, Xianzhe Zheng, Hongkun Xue, Yu-Yu Wu and Natalia Gustavsson. Their work appears in journals such as PLoS ONE, International Journal of Hematology, International Immunopharmacology, Optics Express and Annals of Hematology.
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.