Dan Ma
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- RNA modifications and cancer
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA Research and Splicing
Papers in
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- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 2
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 2
- Co-authors
- Honggang Nie (1 shared paper)Bo Yu (1 shared paper)Shuang Yang (1 shared paper)Yang Liu (1 shared paper)Kuikui Zhang (1 shared paper)Guoyan Liu (1 shared paper)Kai Liu (1 shared paper)Guang Yang (1 shared paper)
In The Last Decade
Dan Ma
20 papers receiving 394 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 181
- Molecular Biology 212
- Orthodontics 10
- Complementary and Manual Therapy 5
- Genetics 15
Countries citing papers authored by Dan Ma
This map shows the geographic impact of Dan 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 Dan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ma more than expected).
Fields of papers citing papers by Dan Ma
This network shows the impact of papers produced by Dan 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 Dan Ma. The network helps show where Dan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 81 | |
| 2 | 2019 | 56 | |
| 3 | 2006 | 45 | |
| 4 | 2021 | 40 | |
| 5 | 2023 | 28 | |
| 6 | 2019 | 28 | |
| 7 | 2019 | 20 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2016 | 8 | |
| 14 | 2015 | 8 | |
| 15 | 2017 | 5 | |
| 16 | [Association between single nucleotide polymorphisms in -88 and -123 loci of MxA gene promoter region and HCV susceptibility and IFN-α efficacy]. | 2012 | 5 |
| 17 | [Effects of Rhubarbs from different regions on blood lipid and antioxidation of hyperlipidemia rats]. | 2015 | 5 |
| 18 | [Comparison of two treatment method for maxillary incisors intrusion]. | 2013 | 4 |
| 19 | 2019 | 1 | |
| 20 | 2011 | 1 |
About Dan Ma
Dan Ma is a scholar working on Molecular Biology, Cancer Research, Genetics, Urology and Complementary and Manual Therapy, having authored 21 papers that have together received 398 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (2 papers), MicroRNA in disease regulation (2 papers), Mesenchymal stem cell research (2 papers), Nanoplatforms for cancer theranostics (1 paper), Biomarkers in Disease Mechanisms (1 paper) and Plant Genetic and Mutation Studies (1 paper). The work is most often cited by research in Cancer Research (181 citations), Molecular Biology (212 citations), Orthodontics (10 citations), Complementary and Manual Therapy (5 citations) and Genetics (15 citations). Dan Ma has collaborated with scholars based in China and France. Frequent co-authors include Honggang Nie, Bo Yu, Shuang Yang, Yang Liu, Kuikui Zhang, Guoyan Liu, Kai Liu, Yang Liu, Guang Yang and Changlin Zhai. Their work appears in journals such as Environmental Toxicology, Oncogene, Acta Pharmacologica Sinica, Annals of Translational Medicine and OncoTargets and Therapy.
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.