Zhijun Ma
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 4
- Oncology top 10%
- CAR-T cell therapy research 7
- Immunology top 10%
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 5
- Genetics top 10%
- Virus-based gene therapy research 7
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- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 6
- Advanced Neuroimaging Techniques and Applications 4
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- Renal cell carcinoma treatment 3
- Co-authors
- Brian P. SorrentinoTaihe LuYulan MaYuhua LiaoRui YaoHuanhuan LiXianjun YuWei Liang
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Experimental Medicine (1 paper)Blood (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Zhijun Ma
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 375
- Oncology 316
- Immunology 240
- Molecular Biology 726
- Genetics 243
Countries citing papers authored by Zhijun Ma
This map shows the geographic impact of Zhijun 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 Zhijun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhijun Ma more than expected).
Fields of papers citing papers by Zhijun Ma
This network shows the impact of papers produced by Zhijun 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 Zhijun Ma. The network helps show where Zhijun Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhijun 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 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 23 | |
| 4 | 2020 | 8 | |
| 5 | 2020 | 22 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 1 | |
| 8 | Effect of anthracycline combined with aerobic exercise on the treatment of breast cancer. | 2018 | 20 |
| 9 | 2018 | 2 | |
| 10 | 2017 | 17 | |
| 11 | 2016 | 48 | |
| 12 | 2016 | 20 | |
| 13 | 2016 | 33 | |
| 14 | 2016 | 38 | |
| 15 | 2016 | 16 | |
| 16 | 2015 | 1 | |
| 17 | 2014 | 51 | |
| 18 | 2013 | 17 | |
| 19 | 2012 | 258 | |
| 20 | 2010 | 87 |
About Zhijun Ma
Zhijun Ma is a scholar working on Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (7 papers), MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), RNA Interference and Gene Delivery (5 papers), Cancer-related molecular mechanisms research (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Cancer Research (375 citations), Oncology (316 citations) and Immunology (240 citations). Zhijun Ma has collaborated with scholars based in China, United States and France. Frequent co-authors include Brian P. Sorrentino, Taihe Lu, Yulan Ma, Yuhua Liao, Rui Yao, Huanhuan Li, Xianjun Yu, Wei Liang, Sheng Zhou and Hongbing Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.
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.