Victor Ma
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Extracellular vesicles in disease 5
- RNA Interference and Gene Delivery 2
- Circular RNAs in diseases 2
- Planarian Biology and Electrostimulation 1
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- MicroRNA in disease regulation 5
- Co-authors
- William C. Cho (12 shared papers)Minh T. N. Le (4 shared papers)Boya Peng (3 shared papers)Luyen Tien Vu (3 shared papers)Likun Wei (2 shared papers)Jiahai Shi (2 shared papers)Tin Chanh Pham (2 shared papers)Yuen San Chan (1 shared paper)
- Journals
- Journal of Extracellular Vesicles (3 papers)Bipolar Disorders (2 papers)Nature Communications (1 paper)Advanced Science (1 paper)Frontiers in Medicine (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Victor Ma
16 papers receiving 1.1k citations
Victor Ma's Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 470
- Molecular Biology 886
- Immunology and Allergy 36
- Immunology 99
- Biomedical Engineering 167
Countries citing papers authored by Victor Ma
This map shows the geographic impact of Victor 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 Victor Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Ma more than expected).
Fields of papers citing papers by Victor Ma
This network shows the impact of papers produced by Victor 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 Victor Ma. The network helps show where Victor Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Victor 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 | Efficient RNA drug delivery using red blood cell extracellular vesicles Hit paper breakdown → | 2018 | 536 |
| 2 | 2021 | 182 | |
| 3 | 2019 | 123 | |
| 4 | 2020 | 75 | |
| 5 | 2020 | 47 | |
| 6 | 2022 | 34 | |
| 7 | 2020 | 19 | |
| 8 | 1995 | 11 | |
| 9 | 2002 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 1999 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2020 | 1 |
About Victor Ma
Victor Ma is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (5 papers), Bipolar Disorder and Treatment (2 papers), RNA Interference and Gene Delivery (2 papers), Circular RNAs in diseases (2 papers), Planarian Biology and Electrostimulation (1 paper), Neuroscience and Neural Engineering (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Cancer Research (470 citations), Molecular Biology (886 citations), Immunology and Allergy (36 citations), Immunology (99 citations) and Biomedical Engineering (167 citations). Victor Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include William C. Cho, Minh T. N. Le, Boya Peng, Luyen Tien Vu, Likun Wei, Jiahai Shi, Tin Chanh Pham, Yuen San Chan, Mengsu Yang and Ng Shyh‐Chang. Their work appears in journals such as Journal of Extracellular Vesicles, Bipolar Disorders, Nature Communications, Advanced Science and Frontiers in Medicine.
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.