Chaoyu Ma
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 18
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 9
- IL-33, ST2, and ILC Pathways 2
- Oncology 7
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 5
- Co-authors
- Nu Zhang (18 shared papers)Shruti Mishra (6 shared papers)Yong Liu (7 shared papers)Saranya Srinivasan (5 shared papers)Wei Liao (6 shared papers)Henrique Borges da Silva (1 shared paper)Haiguang Wang (1 shared paper)Changwei Peng (1 shared paper)
- Journals
- The Journal of Experimental Medicine (3 papers)The Journal of Immunology (2 papers)Science Immunology (2 papers)Cell Reports (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Chaoyu Ma
17 papers receiving 550 citations
Peers
Comparison fields: 5 of 65
- Immunology 442
- Oncology 187
- Physiology 28
- Transplantation 13
- Biological Psychiatry 5
Countries citing papers authored by Chaoyu Ma
This map shows the geographic impact of Chaoyu 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 Chaoyu Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoyu Ma more than expected).
Fields of papers citing papers by Chaoyu Ma
This network shows the impact of papers produced by Chaoyu 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 Chaoyu Ma. The network helps show where Chaoyu Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaoyu 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 | 2019 | 97 | |
| 2 | 2020 | 91 | |
| 3 | 2021 | 67 | |
| 4 | 2016 | 48 | |
| 5 | 2015 | 48 | |
| 6 | 2020 | 46 | |
| 7 | 2022 | 44 | |
| 8 | 2022 | 25 | |
| 9 | 2018 | 21 | |
| 10 | 2022 | 19 | |
| 11 | 2024 | 14 | |
| 12 | 2021 | 11 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 6 | |
| 15 | PD-1hi CD8+ resident memory T cells balance immunity and fibrotic sequelae | 2019 | 4 |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 0 |
About Chaoyu Ma
Chaoyu Ma is a scholar working on Immunology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 18 papers that have together received 553 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (9 papers), Cancer Immunotherapy and Biomarkers (6 papers), CAR-T cell therapy research (5 papers), IL-33, ST2, and ILC Pathways (2 papers), Adenosine and Purinergic Signaling (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Immunology (442 citations), Oncology (187 citations), Physiology (28 citations), Transplantation (13 citations) and Biological Psychiatry (5 citations). Chaoyu Ma has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Nu Zhang, Shruti Mishra, Yong Liu, Saranya Srinivasan, Wei Liao, Henrique Borges da Silva, Haiguang Wang, Changwei Peng, Stephen C. Jameson and Alexander Khoruts. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology, Science Immunology, Cell Reports and Frontiers in Immunology.
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.