Xiangyu Ma
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Cancer-related molecular mechanisms research 9
- Co-authors
- Zhiyuan SongYafei LiNa WuJianping LiuYing XiangXiaoyu FangYao ZhangWei Zheng
- Journals
- Journal of Agricultural and Food Chemistry (5 papers)Breast Cancer Research and Treatment (5 papers)Scientific Reports (4 papers)JAMA Network Open (2 papers)Cochrane Database of Systematic Reviews (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiangyu Ma
116 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 166
- Cancer Research 445
- Neurology 322
- Critical Care and Intensive Care Medicine 94
- Infectious Diseases 321
- Oncology 363
Countries citing papers authored by Xiangyu Ma
This map shows the geographic impact of Xiangyu 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 Xiangyu Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangyu Ma more than expected).
Fields of papers citing papers by Xiangyu Ma
This network shows the impact of papers produced by Xiangyu 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 Xiangyu Ma. The network helps show where Xiangyu Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangyu 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 11 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 14 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 2 | |
| 17 | 2019 | 23 | |
| 18 | 2013 | 84 | |
| 19 | 2013 | 1 | |
| 20 | 2010 | 125 |
About Xiangyu Ma
Xiangyu Ma is a scholar working on Cancer Research, Medical Laboratory Technology, Health, Toxicology and Mutagenesis, Pathology and Forensic Medicine and Nephrology, having authored 132 papers that have together received 2.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (9 papers), Long-Term Effects of COVID-19 (7 papers), COVID-19 Clinical Research Studies (7 papers), Genetic Associations and Epidemiology (5 papers), COVID-19 and Mental Health (4 papers), Bacteriophages and microbial interactions (4 papers) and BRCA gene mutations in cancer (4 papers). The work is most often cited by research in Cancer Research (445 citations), Neurology (322 citations), Critical Care and Intensive Care Medicine (94 citations), Infectious Diseases (321 citations) and Oncology (363 citations). Xiangyu Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhiyuan Song, Yafei Li, Na Wu, Jianping Liu, Ying Xiang, Xiaoyu Fang, Yao Zhang, Wei Zheng, Long Wu and Ben Zhang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Breast Cancer Research and Treatment, Scientific Reports, JAMA Network Open and Cochrane Database of Systematic Reviews.
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.