Xingbing Wang
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Hematology 15
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 8
- Oncology 19
- CAR-T cell therapy research 13
- Polyomavirus and related diseases 5
- Co-authors
- Xiao‐Tong Song (2 shared papers)Stephen M Gottschalk (2 shared papers)David L. Bartlett (1 shared paper)Zong Sheng Guo (1 shared paper)Yu Feng (1 shared paper)Shiang Huang (3 shared papers)Jing Xiang Yang (2 shared papers)Yanli He (2 shared papers)
- Journals
- European Journal Of Haematology (2 papers)Blood (2 papers)Leukemia Research (2 papers)Bone Marrow Transplantation (1 paper)International Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xingbing Wang
49 papers receiving 676 citations
Peers
Comparison fields: 5 of 82
- Hematology 155
- Oncology 319
- Immunology 210
- Genetics 174
- Genetics 49
Countries citing papers authored by Xingbing Wang
This map shows the geographic impact of Xingbing 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 Xingbing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingbing Wang more than expected).
Fields of papers citing papers by Xingbing Wang
This network shows the impact of papers produced by Xingbing 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 Xingbing Wang. The network helps show where Xingbing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingbing 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 154 | |
| 2 | 2005 | 126 | |
| 3 | 2019 | 47 | |
| 4 | 2007 | 41 | |
| 5 | 2021 | 40 | |
| 6 | 2025 | 31 | |
| 7 | 2011 | 30 | |
| 8 | 2011 | 27 | |
| 9 | 2016 | 16 | |
| 10 | 2015 | 14 | |
| 11 | 2007 | 14 | |
| 12 | 2018 | 12 | |
| 13 | 2008 | 11 | |
| 14 | 2017 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2023 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2021 | 6 |
About Xingbing Wang
Xingbing Wang is a scholar working on Hematology, Oncology, Immunology, Genetics and Genetics, having authored 53 papers that have together received 688 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Hematopoietic Stem Cell Transplantation (10 papers), Acute Myeloid Leukemia Research (8 papers), Immune Cell Function and Interaction (6 papers), Virus-based gene therapy research (6 papers), Polyomavirus and related diseases (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Integrated Circuits and Semiconductor Failure Analysis (3 papers). The work is most often cited by research in Hematology (155 citations), Oncology (319 citations), Immunology (210 citations), Genetics (174 citations) and Genetics (49 citations). Xingbing Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao‐Tong Song, Stephen M Gottschalk, David L. Bartlett, Zong Sheng Guo, Yu Feng, Shiang Huang, Jing Xiang Yang, Yanli He, Junxia Yao and Jine Zheng. Their work appears in journals such as European Journal Of Haematology, Blood, Leukemia Research, Bone Marrow Transplantation and International Journal of Molecular Medicine.
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.