Keyu Li
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Cells and Metastasis
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Oncology 14
- CAR-T cell therapy research 6
- Pancreatic and Hepatic Oncology Research 5
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Xubao Liu (3 shared papers)Yonghua Chen (1 shared paper)Ang Li (1 shared paper)Chunlu Tan (1 shared paper)Lei Zheng (8 shared papers)Nan Niu (5 shared papers)Christopher L. Wolfgang (4 shared papers)Anna M. Wu (4 shared papers)
- Journals
- Cancer Research (4 papers)Medicine (2 papers)Blood (2 papers)British Journal of Oral and Maxillofacial Surgery (2 papers)Journal of Hematology & Oncology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Keyu Li
48 papers receiving 825 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 152
- Oncology 258
- Immunology 156
- Molecular Biology 345
- Immunology and Allergy 20
Countries citing papers authored by Keyu Li
This map shows the geographic impact of Keyu Li'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 Keyu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyu Li more than expected).
Fields of papers citing papers by Keyu Li
This network shows the impact of papers produced by Keyu Li. 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 Keyu Li. The network helps show where Keyu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Keyu Li, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 135 | |
| 2 | 2020 | 57 | |
| 3 | 2022 | 54 | |
| 4 | 2024 | 52 | |
| 5 | 2016 | 50 | |
| 6 | 2018 | 46 | |
| 7 | 2022 | 37 | |
| 8 | 2023 | 35 | |
| 9 | 2024 | 31 | |
| 10 | 2019 | 30 | |
| 11 | 2020 | 29 | |
| 12 | 2014 | 25 | |
| 13 | 2021 | 25 | |
| 14 | 2015 | 24 | |
| 15 | 2024 | 24 | |
| 16 | 2022 | 22 | |
| 17 | 2016 | 18 | |
| 18 | 2021 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2016 | 12 |
About Keyu Li
Keyu Li is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Surgery, having authored 55 papers that have together received 833 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (6 papers), Glycosylation and Glycoproteins Research (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), T-cell and B-cell Immunology (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers) and Spectroscopy and Laser Applications (2 papers). The work is most often cited by research in Cancer Research (152 citations), Oncology (258 citations), Immunology (156 citations), Molecular Biology (345 citations) and Immunology and Allergy (20 citations). Keyu Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xubao Liu, Yonghua Chen, Ang Li, Chunlu Tan, Lei Zheng, Nan Niu, Christopher L. Wolfgang, Anna M. Wu, Jianxin Wang and Junke Wang. Their work appears in journals such as Cancer Research, Medicine, Blood, British Journal of Oral and Maxillofacial Surgery 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.