Xu Wang
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in ⓘ
- Co-authors
- Kewei Ma (2 shared papers)Yinghui Xu (2 shared papers)Ye Guo (2 shared papers)Shi Qiu (2 shared papers)Chao Sun (1 shared paper)Yong Li (5 shared papers)Shanshan Zhang (1 shared paper)Zhaojian Gong (1 shared paper)
- Journals
- Food Chemistry (4 papers)Food & Function (3 papers)Medicine (3 papers)Food Hydrocolloids (2 papers)Small (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xu Wang
126 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Biological Psychiatry 154
- Infectious Diseases 825
- Food Science 613
- Modeling and Simulation 133
- Immunology 474
Countries citing papers authored by Xu Wang
This map shows the geographic impact of Xu 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 Xu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu Wang more than expected).
Fields of papers citing papers by Xu Wang
This network shows the impact of papers produced by Xu 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 Xu Wang. The network helps show where Xu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xu 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A systematic review of asymptomatic infections with COVID-19 Hit paper breakdown → | 2020 | 608 |
| 2 | 2018 | 327 | |
| 3 | Effects of (+)-catechin on a rice bran protein oil-in-water emulsion: Droplet size, zeta-potential, emulsifying properties, and rheological behavior Hit paper breakdown → | 2019 | 327 |
| 4 | 2020 | 274 | |
| 5 | 2020 | 140 | |
| 6 | 2018 | 137 | |
| 7 | Flexible Hierarchical Co‐Doped NiS2@CNF‐CNT Electron Deficient Interlayer with Grass‐Roots Structure for Li–S Batteries Hit paper breakdown → | 2023 | 129 |
| 8 | 2020 | 104 | |
| 9 | 2020 | 94 | |
| 10 | 2020 | 81 | |
| 11 | 2016 | 55 | |
| 12 | 2023 | 53 | |
| 13 | 2016 | 52 | |
| 14 | 2006 | 50 | |
| 15 | 2021 | 45 | |
| 16 | 2020 | 44 | |
| 17 | 2018 | 44 | |
| 18 | 2022 | 37 | |
| 19 | 2015 | 37 | |
| 20 | 2023 | 36 |
About Xu Wang
Xu Wang is a scholar working on Periodontics, Biological Psychiatry, Food Science, Aging and Microbiology, having authored 136 papers that have together received 3.8k indexed citations. Recurring topics across this work include Gut microbiota and health (17 papers), Proteins in Food Systems (10 papers), Diet and metabolism studies (8 papers), Antifungal resistance and susceptibility (7 papers), Immune cells in cancer (6 papers), Food Chemistry and Fat Analysis (6 papers), Probiotics and Fermented Foods (6 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Biological Psychiatry (154 citations), Infectious Diseases (825 citations), Food Science (613 citations), Modeling and Simulation (133 citations) and Immunology (474 citations). Xu Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kewei Ma, Yinghui Xu, Ye Guo, Shi Qiu, Chao Sun, Yong Li, Shanshan Zhang, Zhaojian Gong, Xiaodong Ma and Ming Liu. Their work appears in journals such as Food Chemistry, Food & Function, Medicine, Food Hydrocolloids and Small.
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.