Xiaoshi Ma
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- Circular RNAs in diseases
- Gut microbiota and health
- RNA Research and Splicing
Papers in
-
- Neonatal Respiratory Health Research 2
- Co-authors
- Zhenlong Wu (6 shared papers)Ying Yang (6 shared papers)Guoyao Wu (5 shared papers)Zhaolai Dai (4 shared papers)Yunchang Zhang (4 shared papers)Chang Zou (6 shared papers)Zhe‐Sheng Chen (2 shared papers)Kaisheng Liu (3 shared papers)
- Journals
- Molecular Cancer (2 papers)Frontiers in Immunology (2 papers)Frontiers in Pharmacology (1 paper)Computational and Structural Biotechnology Journal (1 paper)Journal of Nutrition (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoshi Ma
21 papers receiving 637 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 168
- Molecular Biology 323
- Immunology 67
- Pharmacology 27
- Cell Biology 49
Countries citing papers authored by Xiaoshi Ma
This map shows the geographic impact of Xiaoshi 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 Xiaoshi Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoshi Ma more than expected).
Fields of papers citing papers by Xiaoshi Ma
This network shows the impact of papers produced by Xiaoshi 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 Xiaoshi Ma. The network helps show where Xiaoshi Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoshi 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 | 2020 | 154 | |
| 2 | 2017 | 95 | |
| 3 | 2020 | 66 | |
| 4 | 2018 | 65 | |
| 5 | 2018 | 58 | |
| 6 | 2019 | 42 | |
| 7 | 2020 | 30 | |
| 8 | 2014 | 22 | |
| 9 | 2018 | 20 | |
| 10 | 2024 | 19 | |
| 11 | 2017 | 17 | |
| 12 | 2022 | 15 | |
| 13 | 2024 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2015 | 4 | |
| 19 | 2022 | 2 | |
| 20 | 2015 | 1 |
About Xiaoshi Ma
Xiaoshi Ma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Aquatic Science, Physiology and Genetics, having authored 21 papers that have together received 646 indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (3 papers), Aquaculture Nutrition and Growth (3 papers), Marine Bivalve and Aquaculture Studies (3 papers), Catalysis for Biomass Conversion (2 papers), Cancer Cells and Metastasis (2 papers), Neonatal Respiratory Health Research (2 papers), Cancer-related molecular mechanisms research (2 papers) and Parasite Biology and Host Interactions (1 paper). The work is most often cited by research in Cancer Research (168 citations), Molecular Biology (323 citations), Immunology (67 citations), Pharmacology (27 citations) and Cell Biology (49 citations). Xiaoshi Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhenlong Wu, Ying Yang, Guoyao Wu, Zhaolai Dai, Yunchang Zhang, Chang Zou, Zhe‐Sheng Chen, Kaisheng Liu, Patrick Tso and Jingqing Chen. Their work appears in journals such as Molecular Cancer, Frontiers in Immunology, Frontiers in Pharmacology, Computational and Structural Biotechnology Journal and Journal of Nutrition.
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.