Xiaodan Ma
Impact in
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- Inflammasome and immune disorders
- RNA modifications and cancer
- RNA Research and Splicing
- Retinoids in leukemia and cellular processes
- Ubiquitin and proteasome pathways
- Heme Oxygenase-1 and Carbon Monoxide
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- interferon and immune responses
Papers in
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- RNA Research and Splicing 4
- Retinoids in leukemia and cellular processes 4
- RNA modifications and cancer 4
- Protein Degradation and Inhibitors 3
- Ubiquitin and proteasome pathways 3
- Cancer-related gene regulation 2
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- Acute Myeloid Leukemia Research 2
- Co-authors
- Guoyu Meng (10 shared papers)Yuwen Li (6 shared papers)Wenyu Wu (4 shared papers)Ziad Mallat (1 shared paper)Leanne Masters (1 shared paper)Alison Finigan (1 shared paper)Sarah Thome (1 shared paper)Xuan Li (1 shared paper)
- Journals
- The FASEB Journal (2 papers)Nature Communications (2 papers)Molecular Therapy (1 paper)Cell Discovery (1 paper)Theranostics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaodan Ma
20 papers receiving 406 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 316
- Immunology 97
- Nephrology 31
- Cancer Research 55
- Biological Psychiatry 7
Countries citing papers authored by Xiaodan Ma
This map shows the geographic impact of Xiaodan 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 Xiaodan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Ma more than expected).
Fields of papers citing papers by Xiaodan Ma
This network shows the impact of papers produced by Xiaodan 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 Xiaodan Ma. The network helps show where Xiaodan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 115 | |
| 2 | 2014 | 44 | |
| 3 | 2020 | 39 | |
| 4 | 2019 | 37 | |
| 5 | 2020 | 37 | |
| 6 | 2024 | 31 | |
| 7 | 2021 | 23 | |
| 8 | 2015 | 20 | |
| 9 | 2023 | 15 | |
| 10 | 2024 | 13 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2014 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2024 | 1 |
About Xiaodan Ma
Xiaodan Ma is a scholar working on Molecular Biology, Hematology, Cell Biology, Oncology and Immunology, having authored 23 papers that have together received 409 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Retinoids in leukemia and cellular processes (4 papers), RNA modifications and cancer (4 papers), Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (3 papers), Acute Myeloid Leukemia Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (316 citations), Immunology (97 citations), Nephrology (31 citations), Cancer Research (55 citations) and Biological Psychiatry (7 citations). Xiaodan Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guoyu Meng, Yuwen Li, Wenyu Wu, Ziad Mallat, Leanne Masters, Alison Finigan, Sarah Thome, Xuan Li, Mamta Amrute‐Nayak and John R. James. Their work appears in journals such as The FASEB Journal, Nature Communications, Molecular Therapy, Cell Discovery and Theranostics.
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.