Xiaopeng Ma
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Nanoplatforms for cancer theranostics 28
- Photoacoustic and Ultrasonic Imaging 9
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- Extracellular vesicles in disease 11
- Co-authors
- Heping Xu (1 shared paper)Weiwei Ma (1 shared paper)Dan Luo (1 shared paper)Zurong Wan (1 shared paper)Hai Qi (1 shared paper)Dan Liu (1 shared paper)Changming Shih (1 shared paper)Hui Tan (6 shared papers)
- Journals
- Advanced Science (5 papers)ACS Applied Materials & Interfaces (3 papers)Advanced Healthcare Materials (2 papers)Advanced Functional Materials (2 papers)The Lancet Regional Health - Western Pacific (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaopeng Ma
123 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 128
- Immunology 460
- Cancer Research 194
- Biomedical Engineering 537
- Oncology 284
- Biomaterials 139
Countries citing papers authored by Xiaopeng Ma
This map shows the geographic impact of Xiaopeng 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 Xiaopeng Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaopeng Ma more than expected).
Fields of papers citing papers by Xiaopeng Ma
This network shows the impact of papers produced by Xiaopeng 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 Xiaopeng Ma. The network helps show where Xiaopeng Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaopeng 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 320 | |
| 2 | 2022 | 78 | |
| 3 | 2019 | 72 | |
| 4 | 2023 | 63 | |
| 5 | 2022 | 60 | |
| 6 | 2023 | 59 | |
| 7 | 2023 | 59 | |
| 8 | 2023 | 56 | |
| 9 | 2016 | 52 | |
| 10 | 2020 | 47 | |
| 11 | 2023 | 46 | |
| 12 | 2019 | 46 | |
| 13 | 2015 | 40 | |
| 14 | 2014 | 38 | |
| 15 | 2022 | 37 | |
| 16 | 2019 | 36 | |
| 17 | 2022 | 36 | |
| 18 | 2023 | 36 | |
| 19 | 2021 | 28 | |
| 20 | 2014 | 28 |
About Xiaopeng Ma
Xiaopeng Ma is a scholar working on Biomedical Engineering, Molecular Biology, Oncology, Materials Chemistry and Immunology, having authored 128 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (28 papers), Cancer Immunotherapy and Biomarkers (13 papers), Extracellular vesicles in disease (11 papers), Immunotherapy and Immune Responses (9 papers), Photoacoustic and Ultrasonic Imaging (9 papers), Advanced Nanomaterials in Catalysis (8 papers), Cancer-related molecular mechanisms research (6 papers) and Nanoparticle-Based Drug Delivery (6 papers). The work is most often cited by research in Immunology (460 citations), Cancer Research (194 citations), Biomedical Engineering (537 citations), Oncology (284 citations) and Biomaterials (139 citations). Xiaopeng Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Heping Xu, Weiwei Ma, Dan Luo, Zurong Wan, Hai Qi, Dan Liu, Changming Shih, Hui Tan, Lijie Sun and Luzhi Zhang. Their work appears in journals such as Advanced Science, ACS Applied Materials & Interfaces, Advanced Healthcare Materials, Advanced Functional Materials and The Lancet Regional Health - Western Pacific.
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.