Shaohua Chen
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Hematology top 2%
- Acute Myeloid Leukemia Research
Papers in
- Immunology 81
- Immune Cell Function and Interaction 53
- T-cell and B-cell Immunology 30
- Immunotherapy and Immune Responses 15
- Oncology 68
- CAR-T cell therapy research 48
- Cancer Immunotherapy and Biomarkers 12
- Co-authors
- Yangqiu Li (139 shared papers)Lijian Yang (99 shared papers)Ling Xu (29 shared papers)Li Shi (4 shared papers)Xiuli Wu (40 shared papers)Xianfeng Zha (33 shared papers)Chengwu Zeng (17 shared papers)Yuhong Lu (29 shared papers)
- Journals
- Blood (15 papers)Journal of Hematology & Oncology (13 papers)DNA and Cell Biology (7 papers)Cancer Cell International (6 papers)Frontiers in Oncology (5 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Shaohua Chen
176 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 113
- Immunology 1.2k
- Hematology 462
- Oncology 1.0k
- Cancer Research 494
- Genetics 177
Countries citing papers authored by Shaohua Chen
This map shows the geographic impact of Shaohua Chen'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 Shaohua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaohua Chen more than expected).
Fields of papers citing papers by Shaohua Chen
This network shows the impact of papers produced by Shaohua Chen. 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 Shaohua Chen. The network helps show where Shaohua Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaohua Chen, 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 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 269 | |
| 2 | 2014 | 173 | |
| 3 | 2006 | 160 | |
| 4 | 2019 | 154 | |
| 5 | 2015 | 91 | |
| 6 | 2005 | 88 | |
| 7 | 2004 | 78 | |
| 8 | 2017 | 73 | |
| 9 | 2020 | 66 | |
| 10 | 2014 | 57 | |
| 11 | 2010 | 44 | |
| 12 | 2021 | 44 | |
| 13 | 2022 | 44 | |
| 14 | 2020 | 37 | |
| 15 | 2015 | 36 | |
| 16 | 2018 | 34 | |
| 17 | 2007 | 34 | |
| 18 | 2021 | 33 | |
| 19 | 2020 | 30 | |
| 20 | 2010 | 29 |
About Shaohua Chen
Shaohua Chen is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Cancer Research, having authored 185 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (53 papers), CAR-T cell therapy research (48 papers), T-cell and B-cell Immunology (30 papers), Immunotherapy and Immune Responses (15 papers), Chronic Myeloid Leukemia Treatments (14 papers), Chronic Lymphocytic Leukemia Research (14 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Hematopoietic Stem Cell Transplantation (9 papers). The work is most often cited by research in Immunology (1.2k citations), Hematology (462 citations), Oncology (1.0k citations), Cancer Research (494 citations) and Genetics (177 citations). Shaohua Chen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yangqiu Li, Lijian Yang, Ling Xu, Li Shi, Xiuli Wu, Xianfeng Zha, Chengwu Zeng, Yuhong Lu, Etty Benveniste and Xibao Yu. Their work appears in journals such as Blood, Journal of Hematology & Oncology, DNA and Cell Biology, Cancer Cell International and Frontiers in Oncology.
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.