Qiting Wu
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 18
- CAR-T cell therapy research 14
- Cancer Immunotherapy and Biomarkers 3
- Immunology 10
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 2
- Co-authors
- Yao Yao (15 shared papers)Peng Li (13 shared papers)Ruocong Zhao (9 shared papers)Duanqing Pei (5 shared papers)Simiao Lin (7 shared papers)Yunxin Lai (5 shared papers)Xinru Wei (6 shared papers)Pentao Liu (6 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Biomarker Research (2 papers)OncoImmunology (2 papers)NMR in Biomedicine (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Qiting Wu
25 papers receiving 765 citations
Peers
Comparison fields: 5 of 56
- Oncology 579
- Immunology 308
- Hepatology 42
- Genetics 130
- Biomedical Engineering 153
Countries citing papers authored by Qiting Wu
This map shows the geographic impact of Qiting Wu'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 Qiting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiting Wu more than expected).
Fields of papers citing papers by Qiting Wu
This network shows the impact of papers produced by Qiting Wu. 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 Qiting Wu. The network helps show where Qiting Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiting Wu, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 182 | |
| 2 | 2017 | 110 | |
| 3 | 2017 | 80 | |
| 4 | 2017 | 79 | |
| 5 | 2020 | 52 | |
| 6 | 2021 | 51 | |
| 7 | 2020 | 34 | |
| 8 | 2022 | 27 | |
| 9 | 2018 | 27 | |
| 10 | 2024 | 23 | |
| 11 | 2021 | 20 | |
| 12 | 2022 | 16 | |
| 13 | 2017 | 13 | |
| 14 | 2014 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2017 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 4 |
About Qiting Wu
Qiting Wu is a scholar working on Oncology, Immunology, Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 30 papers that have together received 779 indexed citations. Recurring topics across this work include CAR-T cell therapy research (14 papers), Immune Cell Function and Interaction (9 papers), Lanthanide and Transition Metal Complexes (5 papers), Immunotherapy and Immune Responses (4 papers), Advanced MRI Techniques and Applications (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), MRI in cancer diagnosis (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Oncology (579 citations), Immunology (308 citations), Hepatology (42 citations), Genetics (130 citations) and Biomedical Engineering (153 citations). Qiting Wu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yao Yao, Peng Li, Ruocong Zhao, Duanqing Pei, Simiao Lin, Yunxin Lai, Xinru Wei, Pentao Liu, Baiheng Li and Le Qin. Their work appears in journals such as Frontiers in Immunology, Biomarker Research, OncoImmunology, NMR in Biomedicine and Scientific Reports.
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.