Xiaomei Feng
- Molecular Biology top 10%
- Critical Care and Intensive Care Medicine top 0.5%
- Developmental Neuroscience top 0.5%
- Neurology top 2%
- Organic Chemistry top 5%
- Co-authors
- Mervyn MazeYinggang ZhuMichael A. MatthaySuneil K. KoliwadYosuke UchidaMartín ValdearcosAntoine MonselJae Woo Lee
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (20 papers)Intensive Care Unit Cognitive Disorders (15 papers)Evolution and Genetic Dynamics (12 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaomei Feng
107 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 754
- Critical Care and Intensive Care Medicine 733
- Developmental Neuroscience 569
- Neurology 373
- Organic Chemistry 368
Countries citing papers authored by Xiaomei Feng
This map shows the geographic impact of Xiaomei Feng'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 Xiaomei Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomei Feng more than expected).
Fields of papers citing papers by Xiaomei Feng
This network shows the impact of papers produced by Xiaomei Feng. 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 Xiaomei Feng. The network helps show where Xiaomei Feng may publish in the future.
Co-authorship network of co-authors of Xiaomei Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomei Feng. A scholar is included among the top collaborators of Xiaomei Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaomei Feng. Xiaomei Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 24 | |
| 10 | 28 | |
| 11 | 63 | |
| 12 | 271 | |
| 13 | 5 | |
| 14 | 15 | |
| 15 | 85 | |
| 16 | 19 | |
| 17 | 6 | |
| 18 | 36 | |
| 19 | 12 | |
| 20 | 1 |
About Xiaomei Feng
Xiaomei Feng is a scholar working on Modeling and Simulation, Critical Care and Intensive Care Medicine and Developmental Neuroscience, having authored 112 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Intensive Care Unit Cognitive Disorders (15 papers) and Evolution and Genetic Dynamics (12 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (733 citations), Developmental Neuroscience (569 citations) and Neurology (373 citations). Xiaomei Feng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mervyn Maze, Yinggang Zhu, Michael A. Matthay, Suneil K. Koliwad, Yosuke Uchida, Martín Valdearcos, Antoine Monsel, Jae Woo Lee, Jason Abbott and Xiaohui Fang. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE and Clinical Infectious Diseases.
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.