Xinge Wang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
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- CRISPR and Genetic Engineering
- Extracellular vesicles in disease
- Advanced biosensing and bioanalysis techniques
Papers in
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- CRISPR and Genetic Engineering 5
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- Gas Sensing Nanomaterials and Sensors 5
- Optical Wireless Communication Technologies 2
- Advanced Power Generation Technologies 2
- Co-authors
- Wei Li (7 shared papers)Yangcan Chen (7 shared papers)Jalees Rehman (6 shared papers)Mark A. Sanborn (4 shared papers)Gui-Hai Feng (2 shared papers)Lu Guo (1 shared paper)Qingqin Gao (1 shared paper)Ruiqi Rachel Wang (1 shared paper)
- Journals
- Sensors and Actuators B Chemical (4 papers)Cell Discovery (2 papers)JCI Insight (2 papers)Nature Communications (2 papers)Journal of Ethnopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Xinge Wang
45 papers receiving 825 citations
Peers
Comparison fields: 5 of 91
- Infectious Diseases 143
- Molecular Biology 300
- Immunology 85
- Drug Discovery 1
- Neurology 27
Countries citing papers authored by Xinge Wang
This map shows the geographic impact of Xinge Wang'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 Xinge Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinge Wang more than expected).
Fields of papers citing papers by Xinge Wang
This network shows the impact of papers produced by Xinge Wang. 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 Xinge Wang. The network helps show where Xinge Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinge Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 210 | |
| 2 | 2021 | 69 | |
| 3 | 2023 | 63 | |
| 4 | 2023 | 48 | |
| 5 | 2022 | 44 | |
| 6 | 2022 | 36 | |
| 7 | 2023 | 33 | |
| 8 | 2022 | 32 | |
| 9 | 2025 | 32 | |
| 10 | 2024 | 27 | |
| 11 | 2023 | 26 | |
| 12 | 2022 | 22 | |
| 13 | 2022 | 20 | |
| 14 | 2023 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2024 | 13 | |
| 17 | 2025 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2025 | 12 | |
| 20 | 2023 | 10 |
About Xinge Wang
Xinge Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Immunology, Global and Planetary Change and Occupational Therapy, having authored 49 papers that have together received 840 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (5 papers), CRISPR and Genetic Engineering (5 papers), Amphibian and Reptile Biology (3 papers), Workplace Health and Well-being (2 papers), Mesenchymal stem cell research (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Optical Wireless Communication Technologies (2 papers) and Advanced Power Generation Technologies (2 papers). The work is most often cited by research in Infectious Diseases (143 citations), Molecular Biology (300 citations), Immunology (85 citations), Drug Discovery (1 citation) and Neurology (27 citations). Xinge Wang has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Wei Li, Yangcan Chen, Jalees Rehman, Mark A. Sanborn, Gui-Hai Feng, Lu Guo, Qingqin Gao, Ruiqi Rachel Wang, Liang Chen and Haiping Jiang. Their work appears in journals such as Sensors and Actuators B Chemical, Cell Discovery, JCI Insight, Nature Communications and Journal of Ethnopharmacology.
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.