Xiaowei Ma
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
Papers in
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- Advanced biosensing and bioanalysis techniques 12
- RNA Interference and Gene Delivery 10
- RNA modifications and cancer 6
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- Ferroptosis and cancer prognosis 5
- Co-authors
- Xing‐Jie Liang (3 shared papers)Yuliang Zhao (1 shared paper)Jinchao Zhang (1 shared paper)Anil Kumar (1 shared paper)Keni Yang (1 shared paper)Shubin Jin (1 shared paper)Shuaidong Huo (1 shared paper)Paul Wang (1 shared paper)
- Journals
- Scientific Reports (6 papers)Frontiers in Pharmacology (3 papers)Analytical Chemistry (3 papers)Frontiers in Microbiology (2 papers)Diabetes (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaowei Ma
96 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 147
- Biomaterials 409
- Molecular Biology 1.2k
- Cancer Research 229
- Biomedical Engineering 607
- Pharmaceutical Science 84
Countries citing papers authored by Xiaowei Ma
This map shows the geographic impact of Xiaowei 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 Xiaowei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Ma more than expected).
Fields of papers citing papers by Xiaowei Ma
This network shows the impact of papers produced by Xiaowei 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 Xiaowei Ma. The network helps show where Xiaowei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 365 | |
| 2 | 2011 | 226 | |
| 3 | 2018 | 225 | |
| 4 | 2016 | 173 | |
| 5 | 2019 | 119 | |
| 6 | 2010 | 69 | |
| 7 | 2011 | 61 | |
| 8 | 2020 | 59 | |
| 9 | 2021 | 56 | |
| 10 | 2013 | 53 | |
| 11 | 2019 | 50 | |
| 12 | 2024 | 49 | |
| 13 | 2016 | 49 | |
| 14 | 2014 | 48 | |
| 15 | 2015 | 42 | |
| 16 | 2004 | 42 | |
| 17 | 2016 | 40 | |
| 18 | 2018 | 39 | |
| 19 | 2021 | 38 | |
| 20 | 2013 | 38 |
About Xiaowei Ma
Xiaowei Ma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Biomedical Engineering, Infectious Diseases and Cancer Research, having authored 104 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (12 papers), RNA Interference and Gene Delivery (10 papers), RNA modifications and cancer (6 papers), SARS-CoV-2 detection and testing (5 papers), Biosensors and Analytical Detection (5 papers), Ferroptosis and cancer prognosis (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Biomaterials (409 citations), Molecular Biology (1.2k citations), Cancer Research (229 citations), Biomedical Engineering (607 citations) and Pharmaceutical Science (84 citations). Xiaowei Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xing‐Jie Liang, Yuliang Zhao, Jinchao Zhang, Anil Kumar, Keni Yang, Shubin Jin, Shuaidong Huo, Paul Wang, Zhongbo Hu and Xiangdong Xue. Their work appears in journals such as Scientific Reports, Frontiers in Pharmacology, Analytical Chemistry, Frontiers in Microbiology and Diabetes.
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.