Xiaomeng Yi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Mesenchymal stem cell research
Papers in
- Surgery 6
- Organ Transplantation Techniques and Outcomes 5
-
- Circular RNAs in diseases 3
- Co-authors
- Haijin Lv (9 shared papers)Xuxia Wei (12 shared papers)Huimin Yi (9 shared papers)Yuling An (13 shared papers)Guihua Chen (3 shared papers)Pinglan Lu (5 shared papers)Xin Sui (4 shared papers)Lijuan Li (3 shared papers)
- Journals
- Respiratory Research (2 papers)Renal Failure (1 paper)Cell Death and Disease (1 paper)Liver Research (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- China
In The Last Decade
Xiaomeng Yi
16 papers receiving 481 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 208
- Genetics 71
- Critical Care and Intensive Care Medicine 27
- Molecular Biology 319
- Immunology 76
Countries citing papers authored by Xiaomeng Yi
This map shows the geographic impact of Xiaomeng Yi'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 Xiaomeng Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomeng Yi more than expected).
Fields of papers citing papers by Xiaomeng Yi
This network shows the impact of papers produced by Xiaomeng Yi. 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 Xiaomeng Yi. The network helps show where Xiaomeng Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomeng Yi, 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 | 2020 | 165 | |
| 2 | 2019 | 110 | |
| 3 | 2019 | 104 | |
| 4 | 2020 | 36 | |
| 5 | 2018 | 31 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 8 | |
| 8 | 2020 | 5 | |
| 9 | 2014 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 1 | |
| 16 | [Application of plasmapheresis combined with hemofiltration in the treatment of severe liver disease in middle and late pregnancy]. | 2015 | 1 |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Xiaomeng Yi
Xiaomeng Yi is a scholar working on Surgery, Molecular Biology, Epidemiology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 481 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Neonatal Respiratory Health Research (3 papers), Liver Disease and Transplantation (3 papers), Mesenchymal stem cell research (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Cancer Research (208 citations), Genetics (71 citations), Critical Care and Intensive Care Medicine (27 citations), Molecular Biology (319 citations) and Immunology (76 citations). Xiaomeng Yi has collaborated with scholars based in China. Frequent co-authors include Haijin Lv, Xuxia Wei, Huimin Yi, Yuling An, Guihua Chen, Pinglan Lu, Xin Sui, Lijuan Li, Yang Yang and Haibo Li. Their work appears in journals such as Respiratory Research, Renal Failure, Cell Death and Disease, Liver Research and Frontiers in Immunology.
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.