Xiaoran Ma
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 2
- Circular RNAs in diseases 2
- Cancer-related gene regulation 2
- Oncology 8
- Cancer Immunotherapy and Biomarkers 4
- Cancer Treatment and Pharmacology 2
- Co-authors
- Changgang Sun (13 shared papers)Cun Liu (12 shared papers)Jing Zhuang (12 shared papers)Lijuan Liu (10 shared papers)Huayao Li (11 shared papers)Jie Li (9 shared papers)Chundi Gao (8 shared papers)Jibiao Wu (2 shared papers)
- Journals
- Journal of Cellular Physiology (3 papers)Frontiers in Pharmacology (3 papers)Scientific Reports (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Xiaoran Ma
35 papers receiving 573 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 104
- Biochemistry 24
- Molecular Biology 241
- Pharmacology 28
- Biological Psychiatry 7
Countries citing papers authored by Xiaoran Ma
This map shows the geographic impact of Xiaoran 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 Xiaoran Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoran Ma more than expected).
Fields of papers citing papers by Xiaoran Ma
This network shows the impact of papers produced by Xiaoran 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 Xiaoran Ma. The network helps show where Xiaoran Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoran 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 64 | |
| 2 | 2019 | 54 | |
| 3 | 2019 | 47 | |
| 4 | 2022 | 46 | |
| 5 | 2020 | 44 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 2023 | 30 | |
| 9 | 2018 | 21 | |
| 10 | 2020 | 21 | |
| 11 | 2024 | 20 | |
| 12 | 2019 | 20 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2023 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 8 |
About Xiaoran Ma
Xiaoran Ma is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Pharmacology, having authored 37 papers that have together received 576 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Epigenetics and DNA Methylation (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Treatment and Pharmacology (2 papers), Circular RNAs in diseases (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (104 citations), Biochemistry (24 citations), Molecular Biology (241 citations), Pharmacology (28 citations) and Biological Psychiatry (7 citations). Xiaoran Ma has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Changgang Sun, Cun Liu, Jing Zhuang, Lijuan Liu, Huayao Li, Jie Li, Chundi Gao, Jibiao Wu, Li Ye and Xiaomin Wang. Their work appears in journals such as Journal of Cellular Physiology, Frontiers in Pharmacology, Scientific Reports, Evidence-based Complementary and Alternative Medicine and Frontiers in Genetics.
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.