Xiaobin Ma
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
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- Cancer-related molecular mechanisms research
Papers in
-
- Breast Cancer Treatment Studies 6
- Oncology 11
- HER2/EGFR in Cancer Research 3
- Co-authors
- Huafeng Kang (16 shared papers)Bing Du (2 shared papers)Min Qian (2 shared papers)Shuai Lin (7 shared papers)Na Zhang (1 shared paper)Mingyao Liu (1 shared paper)Zhi Zhang (1 shared paper)Yan Yan (1 shared paper)
- Journals
- Advanced Science (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)Clinical & Translational Oncology (1 paper)Scientific Reports (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaobin Ma
27 papers receiving 375 citations
Peers
Comparison fields: 5 of 85
- Physiology 63
- Cancer Research 57
- Immunology 55
- Molecular Biology 155
- Oncology 60
Countries citing papers authored by Xiaobin Ma
This map shows the geographic impact of Xiaobin 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 Xiaobin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Ma more than expected).
Fields of papers citing papers by Xiaobin Ma
This network shows the impact of papers produced by Xiaobin 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 Xiaobin Ma. The network helps show where Xiaobin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 56 | |
| 2 | 2016 | 48 | |
| 3 | 2019 | 37 | |
| 4 | 2016 | 36 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 18 | |
| 7 | 2019 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 13 | |
| 11 | 2015 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2017 | 9 | |
| 14 | [Compounds from fraction with cardiovascular activity of Chrysanthemum indicum]. | 2012 | 9 |
| 15 | The role of ATP8A1 in non-small cell lung cancer. | 2017 | 9 |
| 16 | 2024 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2021 | 5 | |
| 20 | [The effect of Hongjingtian (Gadol) injection on cardiac hemodynamics and myocardial oxygen consumption of dogs]. | 2005 | 5 |
About Xiaobin Ma
Xiaobin Ma is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 31 papers that have together received 378 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Ferroptosis and cancer prognosis (5 papers), Nanoplatforms for cancer theranostics (3 papers), HER2/EGFR in Cancer Research (3 papers), Nanoparticle-Based Drug Delivery (3 papers), RNA modifications and cancer (3 papers), Breast Implant and Reconstruction (3 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Physiology (63 citations), Cancer Research (57 citations), Immunology (55 citations), Molecular Biology (155 citations) and Oncology (60 citations). Xiaobin Ma has collaborated with scholars based in China and United States. Frequent co-authors include Huafeng Kang, Bing Du, Min Qian, Shuai Lin, Na Zhang, Mingyao Liu, Zhi Zhang, Yan Yan, Ling Zhao and Binghe Tan. Their work appears in journals such as Advanced Science, Journal of Cancer Research and Clinical Oncology, Clinical & Translational Oncology, Scientific 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.