Xin Gao
- Biomedical Engineering top 1%
- Electrical and Electronic Engineering top 2%
- Water Science and Technology top 0.5%
- Electronic, Optical and Magnetic Materials top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- James LandonAyokunle OmosebiKunlei LiuXun YuanXinyue DouYong LiuHaiguang ZhuRobert P. Lynch
- Topics
- Membrane-based Ion Separation Techniques (34 papers)Advanced battery technologies research (21 papers)Membrane Separation Technologies (19 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaEnvironmental Science & Technology
- Partner nations
- United StatesChinaIreland
In The Last Decade
Xin Gao
65 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Biomedical Engineering 2.1k
- Electrical and Electronic Engineering 1.9k
- Water Science and Technology 1.6k
- Electronic, Optical and Magnetic Materials 393
- Renewable Energy, Sustainability and the Environment 260
Countries citing papers authored by Xin Gao
This map shows the geographic impact of Xin Gao'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 Xin Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Gao more than expected).
Fields of papers citing papers by Xin Gao
This network shows the impact of papers produced by Xin Gao. 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 Xin Gao. The network helps show where Xin Gao may publish in the future.
Co-authorship network of co-authors of Xin Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Gao. A scholar is included among the top collaborators of Xin Gao 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 Xin Gao. Xin Gao 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 | 1 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 42 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 31 | |
| 11 | 193 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 96 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 17 | |
| 19 | 123 | |
| 20 | 5 |
About Xin Gao
Xin Gao is a scholar working on Catalysis, Water Science and Technology and Biomedical Engineering, having authored 67 papers that have together received 2.8k indexed citations. Recurring topics across this work include Membrane-based Ion Separation Techniques (34 papers), Advanced battery technologies research (21 papers) and Membrane Separation Technologies (19 papers). The work is most often cited by research in Water Science and Technology (1.6k citations), Biomedical Engineering (2.1k citations) and Electrical and Electronic Engineering (1.9k citations). Xin Gao has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include James Landon, Ayokunle Omosebi, Kunlei Liu, Xun Yuan, Xinyue Dou, Yong Liu, Haiguang Zhu, Robert P. Lynch, D. Noel Buckley and Nicolas E. Holubowitch. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.