Weijie Ma
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 28
- Cancer Immunotherapy and Biomarkers 13
- CAR-T cell therapy research 4
- Lung Cancer Research Studies 3
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- Lung Cancer Treatments and Mutations 10
- Co-authors
- Tianhong Li (26 shared papers)Jianda Yuan (2 shared papers)Wei Liu (3 shared papers)Andrew Li (2 shared papers)Yufeng Yuan (6 shared papers)Ganggang Wang (4 shared papers)Jinghua Li (5 shared papers)Zhisu Liu (3 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Cancers (3 papers)Journal of Clinical Oncology (3 papers)Journal of Hematology & Oncology (3 papers)Biomarker Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weijie Ma
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Oncology 507
- Immunology 277
- Biomaterials 169
- Biomedical Engineering 394
- Cancer Research 117
Countries citing papers authored by Weijie Ma
This map shows the geographic impact of Weijie 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 Weijie Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijie Ma more than expected).
Fields of papers citing papers by Weijie Ma
This network shows the impact of papers produced by Weijie 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 Weijie Ma. The network helps show where Weijie Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijie 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
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 266 | |
| 2 | 2018 | 211 | |
| 3 | 2020 | 190 | |
| 4 | 2023 | 72 | |
| 5 | 2020 | 51 | |
| 6 | 2021 | 46 | |
| 7 | 2019 | 40 | |
| 8 | 2018 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2023 | 29 | |
| 11 | 2023 | 26 | |
| 12 | 2017 | 26 | |
| 13 | 2021 | 24 | |
| 14 | 2019 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2020 | 20 | |
| 17 | 2020 | 17 | |
| 18 | 2022 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2024 | 11 |
About Weijie Ma
Weijie Ma is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Cancer Research, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), Lung Cancer Treatments and Mutations (10 papers), Immunotherapy and Immune Responses (5 papers), Cancer Genomics and Diagnostics (4 papers), CAR-T cell therapy research (4 papers), Vector-borne infectious diseases (3 papers), Lung Cancer Research Studies (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Oncology (507 citations), Immunology (277 citations), Biomaterials (169 citations), Biomedical Engineering (394 citations) and Cancer Research (117 citations). Weijie Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tianhong Li, Jianda Yuan, Wei Liu, Andrew Li, Yufeng Yuan, Ganggang Wang, Jinghua Li, Zhisu Liu, Long Wu and Yufeng Yuan. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, Journal of Clinical Oncology, Journal of Hematology & Oncology and Biomarker 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.