Xingzhe Ma
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism 7
- Immunology top 2%
- interferon and immune responses 5
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 4
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 3
- Molecular Biology top 10%
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- Cholesterol and Lipid Metabolism 10
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- Estrogen and related hormone effects 3
- Co-authors
- Qing YiJianfei QianEnguang BiMaojie YangLintao LiuQiang WangLingqun YeLiuling Xiao
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xingzhe Ma
25 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 1.1k
- Immunology 1.2k
- Oncology 770
- Pulmonary and Respiratory Medicine 556
- Molecular Biology 1.1k
Countries citing papers authored by Xingzhe Ma
This map shows the geographic impact of Xingzhe Ma'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 Xingzhe Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingzhe Ma more than expected).
Fields of papers citing papers by Xingzhe Ma
This network shows the impact of papers produced by Xingzhe Ma. 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 Xingzhe Ma. The network helps show where Xingzhe Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xingzhe Ma, 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 | 2025 | 2 | |
| 2 | 2021 | 16 | |
| 3 | CD36-mediated ferroptosis dampens intratumoral CD8+ T cell effector function and impairs their antitumor abilitybreakdown → | 2021 | 664 |
| 4 | Enhanced Lipid Accumulation and Metabolism Are Required for the Differentiation and Activation of Tumor-Associated Macrophagesbreakdown → | 2020 | 360 |
| 5 | 2020 | 72 | |
| 6 | 2020 | 38 | |
| 7 | Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor Microenvironmentbreakdown → | 2019 | 697 |
| 8 | 2018 | 118 | |
| 9 | 2018 | 23 | |
| 10 | 2018 | 121 | |
| 11 | 2018 | 61 | |
| 12 | 2018 | 31 | |
| 13 | 2016 | 20 | |
| 14 | 2016 | 107 | |
| 15 | 2016 | 1 | |
| 16 | 2015 | 22 | |
| 17 | 2015 | 48 | |
| 18 | 2015 | 7 | |
| 19 | 2014 | 30 | |
| 20 | 2013 | 20 |
About Xingzhe Ma
Xingzhe Ma is a scholar working on Immunology, Cancer Research and Oncology, having authored 25 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (10 papers), Cancer, Lipids, and Metabolism (7 papers), interferon and immune responses (5 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Cancer Research (1.1k citations), Immunology (1.2k citations) and Oncology (770 citations). Xingzhe Ma has collaborated with scholars based in China, United States and France. Frequent co-authors include Qing Yi, Jianfei Qian, Enguang Bi, Maojie Yang, Lintao Liu, Qiang Wang, Lingqun Ye, Liuling Xiao, Su Pan and Yong Lu. Their work appears in journals such as Blood, Cell Metabolism, Nature Communications, Biochemical Journal and Journal of Lipid 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.