Xingbing Wang
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Oncology 21
- CAR-T cell therapy research 16
- Polyomavirus and related diseases 3
- Immunology 13
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
- Co-authors
- Stephen Gottschalk (2 shared papers)Xiao‐Tong Song (2 shared papers)Yu Feng (1 shared paper)Zong Sheng Guo (1 shared paper)David L. Bartlett (1 shared paper)Jine Zheng (4 shared papers)Yanli He (4 shared papers)Junxia Yao (4 shared papers)
- Journals
- Blood (6 papers)European Journal Of Haematology (2 papers)International Journal of Molecular Medicine (1 paper)Pediatric Transplantation (1 paper)Cell Discovery (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xingbing Wang
53 papers receiving 606 citations
Peers
Comparison fields: 5 of 80
- Hematology 132
- Oncology 287
- Immunology 200
- Genetics 164
- Genetics 44
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 142 | |
| 2 | 2005 | 118 | |
| 3 | 2019 | 41 | |
| 4 | 2007 | 40 | |
| 5 | 2021 | 35 | |
| 6 | 2011 | 27 | |
| 7 | 2011 | 27 | |
| 8 | 2016 | 16 | |
| 9 | 2007 | 15 | |
| 10 | [Correlation of immunophenotype to cytogenetics and clinical features of adult acute myeloid leukemia]. | 2005 | 14 |
| 11 | 2015 | 13 | |
| 12 | 2017 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2009 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2013 | 5 |
About Xingbing Wang
Xingbing Wang is a scholar working on Oncology, Immunology, Hematology, Molecular Biology and Genetics, having authored 58 papers that have together received 617 indexed citations. Recurring topics across this work include CAR-T cell therapy research (16 papers), Hematopoietic Stem Cell Transplantation (8 papers), Immune Cell Function and Interaction (6 papers), Acute Myeloid Leukemia Research (6 papers), Virus-based gene therapy research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Polyomavirus and related diseases (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Hematology (132 citations), Oncology (287 citations), Immunology (200 citations), Genetics (164 citations) and Genetics (44 citations). Xingbing Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Stephen Gottschalk, Xiao‐Tong Song, Yu Feng, Zong Sheng Guo, David L. Bartlett, Jine Zheng, Yanli He, Junxia Yao, Shiang Huang and Jing Yang. Their work appears in journals such as Blood, European Journal Of Haematology, International Journal of Molecular Medicine, Pediatric Transplantation and Cell Discovery.
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.