Weirui Ma
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Nuclear Structure and Function
- RNA regulation and disease
Papers in
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- RNA Research and Splicing 6
- RNA modifications and cancer 5
- Developmental Biology and Gene Regulation 2
- RNA regulation and disease 2
- Cancer-related gene regulation 2
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- Cytomegalovirus and herpesvirus research 2
- Co-authors
- Christine Mayr (3 shared papers)Gang Zhen (1 shared paper)Wei Xie (2 shared papers)Bing Yang (1 shared paper)Jingxian Li (1 shared paper)Long Zhang (1 shared paper)Huasong Lu (2 shared papers)Mengdi Zhang (1 shared paper)
- Journals
- Development (3 papers)eLife (2 papers)iScience (1 paper)Journal of Colloid and Interface Science (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesMadagascar
In The Last Decade
Weirui Ma
20 papers receiving 744 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 564
- Aging 13
- Physiology 28
- Cancer Research 83
- Biochemistry 35
Countries citing papers authored by Weirui Ma
This map shows the geographic impact of Weirui 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 Weirui Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weirui Ma more than expected).
Fields of papers citing papers by Weirui Ma
This network shows the impact of papers produced by Weirui 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 Weirui Ma. The network helps show where Weirui Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Weirui 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 | 2018 | 257 | |
| 2 | 2022 | 97 | |
| 3 | 2021 | 80 | |
| 4 | 2021 | 75 | |
| 5 | 2016 | 51 | |
| 6 | 2014 | 30 | |
| 7 | 2022 | 29 | |
| 8 | 2021 | 20 | |
| 9 | 2012 | 20 | |
| 10 | 2023 | 17 | |
| 11 | 2006 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2007 | 12 | |
| 14 | 2021 | 9 | |
| 15 | 2011 | 9 | |
| 16 | 2025 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 1 |
About Weirui Ma
Weirui Ma is a scholar working on Molecular Biology, Epidemiology, Pediatrics, Perinatology and Child Health, Cell Biology and Aging, having authored 20 papers that have together received 753 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers), Developmental Biology and Gene Regulation (2 papers), RNA regulation and disease (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Neonatal Health and Biochemistry (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (564 citations), Aging (13 citations), Physiology (28 citations), Cancer Research (83 citations) and Biochemistry (35 citations). Weirui Ma has collaborated with scholars based in China, United States and Madagascar. Frequent co-authors include Christine Mayr, Gang Zhen, Wei Xie, Bing Yang, Jingxian Li, Long Zhang, Huasong Lu, Mengdi Zhang, Fangfang Zhou and Jian Zhang. Their work appears in journals such as Development, eLife, iScience, Journal of Colloid and Interface Science and Nature Communications.
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.