Ang Gao
- Computational Theory and Mathematics top 2%
- Infectious Diseases top 10%
- Molecular Biology
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Co-authors
- Richard C. RemsingJulia A. TownsendYu ChenChunlong MaPanagiotis LagariasPeter H. DubeXiujun ZhangMichael T. Marty
- Topics
- Spectroscopy and Quantum Chemical Studies (6 papers)Machine Learning in Materials Science (4 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Ang Gao
18 papers receiving 509 citations
Peers
Comparison fields: 5 of 91
- Computational Theory and Mathematics 217
- Infectious Diseases 200
- Molecular Biology 172
- Materials Chemistry 121
- Atomic and Molecular Physics, and Optics 68
Countries citing papers authored by Ang Gao
This map shows the geographic impact of Ang 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 Ang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ang Gao more than expected).
Fields of papers citing papers by Ang Gao
This network shows the impact of papers produced by Ang 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 Ang Gao. The network helps show where Ang Gao may publish in the future.
Co-authorship network of co-authors of Ang Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Ang Gao. A scholar is included among the top collaborators of Ang 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 Ang Gao. Ang 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 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 99 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | 284 | |
| 12 | 23 | |
| 13 | 10 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 31 | |
| 17 | Bacterial Inactivation Mechanism of Titania Nanotubes Modified with Gold Nanoparticles | 1 |
| 18 | 1 |
About Ang Gao
Ang Gao is a scholar working on Infectious Diseases, Statistical and Nonlinear Physics and Physical and Theoretical Chemistry, having authored 18 papers that have together received 513 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (6 papers), Machine Learning in Materials Science (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (217 citations), Infectious Diseases (200 citations) and Filtration and Separation (8 citations). Ang Gao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Richard C. Remsing, Julia A. Townsend, Yu Chen, Chunlong Ma, Panagiotis Lagarias, Peter H. Dube, Xiujun Zhang, Michael T. Marty, Antonios Kolocouris and Xiangzhi Meng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.