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 17
- CAR-T cell therapy research 15
- Cancer Immunotherapy and Biomarkers 3
- Immunology 12
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 6
- Co-authors
- Peng Li (14 shared papers)Yao Yao (14 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)Scientific Reports (1 paper)Molecular Therapy — Oncolytics (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Qiting Wu
23 papers receiving 732 citations
Peers
Comparison fields: 5 of 55
- Oncology 573
- Immunology 323
- Hepatology 47
- Genetics 141
- Biomedical Engineering 173
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 181 | |
| 2 | 2017 | 106 | |
| 3 | 2017 | 79 | |
| 4 | 2017 | 78 | |
| 5 | 2020 | 51 | |
| 6 | 2021 | 50 | |
| 7 | 2020 | 34 | |
| 8 | 2018 | 26 | |
| 9 | 2022 | 23 | |
| 10 | 2024 | 20 | |
| 11 | 2021 | 19 | |
| 12 | 2022 | 15 | |
| 13 | 2017 | 13 | |
| 14 | 2022 | 10 | |
| 15 | 2017 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 3 |
About Qiting Wu
Qiting Wu is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Biophysics and Materials Chemistry, having authored 26 papers that have together received 745 indexed citations. Recurring topics across this work include CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (6 papers), Lanthanide and Transition Metal Complexes (4 papers), Advanced MRI Techniques and Applications (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), MRI in cancer diagnosis (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (573 citations), Immunology (323 citations), Hepatology (47 citations), Genetics (141 citations) and Biomedical Engineering (173 citations). Qiting Wu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Peng Li, Yao Yao, 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, Scientific Reports and Molecular Therapy — Oncolytics.
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.