Qingming Yang
Impact in
- Oncology top 0.5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 34
- CAR-T cell therapy research 23
- Cancer Immunotherapy and Biomarkers 7
-
- Lymphoma Diagnosis and Treatment 17
- Co-authors
- Weidong Han (34 shared papers)Yao Wang (20 shared papers)Yelei Guo (18 shared papers)Hanren Dai (15 shared papers)Kaichao Feng (14 shared papers)Zhiqiang Wu (17 shared papers)Meixia Chen (18 shared papers)Chunmeng Wang (17 shared papers)
- Journals
- Journal of Clinical Oncology (10 papers)Clinical Cancer Research (4 papers)Signal Transduction and Targeted Therapy (3 papers)Blood (3 papers)Journal of Hematology & Oncology (3 papers)
- Partner nations
- ChinaPhilippinesUnited States
In The Last Decade
Qingming Yang
58 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 82
- Oncology 2.4k
- Immunology 654
- Genetics 558
- Pathology and Forensic Medicine 288
- Biomedical Engineering 624
Countries citing papers authored by Qingming Yang
This map shows the geographic impact of Qingming Yang'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 Qingming Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingming Yang more than expected).
Fields of papers citing papers by Qingming Yang
This network shows the impact of papers produced by Qingming Yang. 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 Qingming Yang. The network helps show where Qingming Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingming Yang, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 274 | |
| 2 | 2016 | 272 | |
| 3 | 2017 | 260 | |
| 4 | 2020 | 243 | |
| 5 | 2020 | 211 | |
| 6 | 2017 | 210 | |
| 7 | 2017 | 208 | |
| 8 | 2021 | 192 | |
| 9 | 2019 | 157 | |
| 10 | 2020 | 131 | |
| 11 | 2016 | 107 | |
| 12 | 2020 | 90 | |
| 13 | 2021 | 72 | |
| 14 | 2021 | 50 | |
| 15 | 2019 | 49 | |
| 16 | 2023 | 43 | |
| 17 | 2021 | 31 | |
| 18 | 2006 | 27 | |
| 19 | 2022 | 23 | |
| 20 | 2009 | 20 |
About Qingming Yang
Qingming Yang is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Surgery and Neurology, having authored 60 papers that have together received 2.9k indexed citations. Recurring topics across this work include CAR-T cell therapy research (23 papers), Lymphoma Diagnosis and Treatment (17 papers), Cancer Immunotherapy and Biomarkers (7 papers), Immune Cell Function and Interaction (5 papers), Virus-based gene therapy research (5 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Integrated Circuits and Semiconductor Failure Analysis (3 papers). The work is most often cited by research in Oncology (2.4k citations), Immunology (654 citations), Genetics (558 citations), Pathology and Forensic Medicine (288 citations) and Biomedical Engineering (624 citations). Qingming Yang has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Weidong Han, Yao Wang, Yelei Guo, Hanren Dai, Kaichao Feng, Zhiqiang Wu, Meixia Chen, Chunmeng Wang, Chuan Tong and Yang Liu. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Signal Transduction and Targeted Therapy, Blood and Journal of Hematology & 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.