Xiaoxin Mu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
Papers in ⓘ
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- TGF-β signaling in diseases 2
- RNA Research and Splicing 2
- Circular RNAs in diseases 2
- Surgery 5
- Organ Transplantation Techniques and Outcomes 4
- Co-authors
- Hua Sun (3 shared papers)Dongju Feng (2 shared papers)Yu Jin (2 shared papers)Wenjun Cheng (1 shared paper)Deyuan Kong (1 shared paper)Xinru Wang (1 shared paper)Wenhua You (1 shared paper)Xiaodong Wang (1 shared paper)
- Journals
- Medicine (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Journal of Cellular Physiology (1 paper)Mayo Clinic Proceedings (1 paper)Annals of Translational Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaoxin Mu
17 papers receiving 465 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Cancer Research 136
- Hepatology 66
- Molecular Biology 277
- Immunology 85
- Oncology 108
Countries citing papers authored by Xiaoxin Mu
This map shows the geographic impact of Xiaoxin Mu'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 Xiaoxin Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxin Mu more than expected).
Fields of papers citing papers by Xiaoxin Mu
This network shows the impact of papers produced by Xiaoxin Mu. 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 Xiaoxin Mu. The network helps show where Xiaoxin Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxin Mu, 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 | Gut microbiota–derived short‐chain fatty acids regulate group 3 innate lymphoid cells in HCC Hit paper breakdown → | 2022 | 131 |
| 2 | 2022 | 75 | |
| 3 | 2014 | 67 | |
| 4 | 2015 | 36 | |
| 5 | 2018 | 25 | |
| 6 | 2013 | 23 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2011 | 12 | |
| 12 | 2011 | 11 | |
| 13 | 2021 | 6 | |
| 14 | 2017 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2018 | 1 |
About Xiaoxin Mu
Xiaoxin Mu is a scholar working on Molecular Biology, Surgery, Hepatology, Oncology and Immunology, having authored 18 papers that have together received 469 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (4 papers), Liver physiology and pathology (3 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), TGF-β signaling in diseases (2 papers), RNA Research and Splicing (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (136 citations), Hepatology (66 citations), Molecular Biology (277 citations), Immunology (85 citations) and Oncology (108 citations). Xiaoxin Mu has collaborated with scholars based in China and United States. Frequent co-authors include Hua Sun, Dongju Feng, Yu Jin, Wenjun Cheng, Deyuan Kong, Xinru Wang, Wenhua You, Xiaodong Wang, Yi Jiang and Lei Xu. Their work appears in journals such as Medicine, Frontiers in Cell and Developmental Biology, Journal of Cellular Physiology, Mayo Clinic Proceedings and Annals of Translational Medicine.
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.