Xiaoming Wang
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in ⓘ
- Immunology 46
- Immune Cell Function and Interaction 22
- T-cell and B-cell Immunology 15
- Immunotherapy and Immune Responses 13
- Hematology 10
- Co-authors
- Jason G. Cyster (4 shared papers)Jinping An (2 shared papers)Lauren B. Rodda (2 shared papers)Ying Xu (1 shared paper)Jesse A. Green (1 shared paper)Kazuhiro Suzuki (1 shared paper)Sanjiv A. Luther (1 shared paper)Andrew D. Luster (1 shared paper)
- Journals
- Blood (5 papers)The Journal of Experimental Medicine (4 papers)Frontiers in Immunology (3 papers)International Immunopharmacology (3 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaoming Wang
91 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 130
- Immunology 981
- Cancer Research 436
- Molecular Biology 1.4k
- Oncology 462
- Hematology 131
Countries citing papers authored by Xiaoming Wang
This map shows the geographic impact of Xiaoming 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 Xiaoming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Wang more than expected).
Fields of papers citing papers by Xiaoming Wang
This network shows the impact of papers produced by Xiaoming 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 Xiaoming Wang. The network helps show where Xiaoming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoming 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 289 | |
| 2 | 2011 | 215 | |
| 3 | 2012 | 159 | |
| 4 | 2010 | 132 | |
| 5 | 2019 | 125 | |
| 6 | 2017 | 118 | |
| 7 | 2010 | 108 | |
| 8 | 2022 | 106 | |
| 9 | 2011 | 103 | |
| 10 | 2021 | 96 | |
| 11 | 2017 | 91 | |
| 12 | 2019 | 87 | |
| 13 | 2017 | 85 | |
| 14 | 2017 | 83 | |
| 15 | 2014 | 71 | |
| 16 | 2019 | 58 | |
| 17 | 2008 | 45 | |
| 18 | 2014 | 44 | |
| 19 | 2022 | 37 | |
| 20 | 2012 | 34 |
About Xiaoming Wang
Xiaoming Wang is a scholar working on Immunology, Hematology, Cancer Research, Parasitology and Oncology, having authored 96 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (15 papers), Immunotherapy and Immune Responses (13 papers), Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (9 papers), Cancer-related gene regulation (7 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Immunology (981 citations), Cancer Research (436 citations), Molecular Biology (1.4k citations), Oncology (462 citations) and Hematology (131 citations). Xiaoming Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jason G. Cyster, Jinping An, Lauren B. Rodda, Ying Xu, Jesse A. Green, Kazuhiro Suzuki, Sanjiv A. Luther, Andrew D. Luster, Mariko L. Bennett and Chun Ye. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Frontiers in Immunology, International Immunopharmacology and Nature Communications.
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.