Caixia Li
Impact in
-
- Immune Cell Function and Interaction
- interferon and immune responses
- Pharmacology top 10%
- Berberine and alkaloids research
- Cannabis and Cannabinoid Research
Papers in
- Immunology 14
- Galectins and Cancer Biology 4
- Immune Cell Function and Interaction 4
- Immune cells in cancer 2
- Immunotherapy and Immune Responses 2
- Genetics 3
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Zhongping Cheng (5 shared papers)Ning Ling Luo (5 shared papers)Li Liu (2 shared papers)Guihai Ai (2 shared papers)Jie Liu (1 shared paper)Weihong Yang (3 shared papers)Fudong Yu (1 shared paper)Li Li (1 shared paper)
- Journals
- Blood (3 papers)Water Research (1 paper)Aquaculture (1 paper)Journal of Cancer (1 paper)Biological Research (1 paper)
- Partner nations
- China
In The Last Decade
Caixia Li
16 papers receiving 398 citations
Peers
Comparison fields: 5 of 71
- Immunology 126
- Pharmacology 91
- Cancer Research 51
- Oncology 84
- Pharmacology 25
Countries citing papers authored by Caixia Li
This map shows the geographic impact of Caixia 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 Caixia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caixia Li more than expected).
Fields of papers citing papers by Caixia Li
This network shows the impact of papers produced by Caixia 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 Caixia Li. The network helps show where Caixia Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Caixia 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 179 | |
| 2 | 2018 | 80 | |
| 3 | Tim-3 is highly expressed in T cells in acute myeloid leukemia and associated with clinicopathological prognostic stratification. | 2014 | 52 |
| 4 | 2019 | 32 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2017 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2015 | 2 | |
| 14 | 2013 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2022 | 0 |
About Caixia Li
Caixia Li is a scholar working on Immunology, Genetics, Pathology and Forensic Medicine, Biological Psychiatry and Molecular Biology, having authored 17 papers that have together received 406 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (4 papers), Immune Cell Function and Interaction (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Signaling Pathways in Disease (2 papers), Immune cells in cancer (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Immunotherapy and Immune Responses (2 papers) and Tryptophan and brain disorders (1 paper). The work is most often cited by research in Immunology (126 citations), Pharmacology (91 citations), Cancer Research (51 citations), Oncology (84 citations) and Pharmacology (25 citations). Caixia Li has collaborated with scholars based in China. Frequent co-authors include Zhongping Cheng, Ning Ling Luo, Li Liu, Guihai Ai, Jie Liu, Weihong Yang, Fudong Yu, Li Li, Depei Wu and Rui Xia. Their work appears in journals such as Blood, Water Research, Aquaculture, Journal of Cancer and Biological Research.
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.