Xiaowen Wang
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- HIV/AIDS Research and Interventions
- SARS-CoV-2 and COVID-19 Research
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- Dysphagia Assessment and Management
Papers in
-
- HIV/AIDS Research and Interventions 6
- Viral Infections and Vectors 3
- COVID-19 Clinical Research Studies 3
-
- Regional Economics and Spatial Analysis 2
- Co-authors
- David A. Morrow (1 shared paper)Joshua Lang (1 shared paper)Hasan K. Siddiqi (1 shared paper)Erin A. Bohula (1 shared paper)Filipe A. Moura (1 shared paper)Lin Lü (5 shared papers)Ping Zhang (1 shared paper)Jintao Yang (1 shared paper)
- Journals
- BMC Infectious Diseases (2 papers)Microbial Pathogenesis (1 paper)Toxins (1 paper)Urban Climate (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaowen Wang
27 papers receiving 394 citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 141
- Speech and Hearing 26
- Neurology 47
- Environmental Engineering 36
- Microbiology 15
Countries citing papers authored by Xiaowen Wang
This map shows the geographic impact of Xiaowen 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 Xiaowen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowen Wang more than expected).
Fields of papers citing papers by Xiaowen Wang
This network shows the impact of papers produced by Xiaowen 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 Xiaowen Wang. The network helps show where Xiaowen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowen 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 80 | |
| 2 | 2024 | 39 | |
| 3 | 2018 | 36 | |
| 4 | 2016 | 28 | |
| 5 | 2022 | 27 | |
| 6 | 2023 | 22 | |
| 7 | 2015 | 20 | |
| 8 | 2009 | 18 | |
| 9 | 2017 | 17 | |
| 10 | 2024 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2010 | 11 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2025 | 6 | |
| 20 | 2019 | 6 |
About Xiaowen Wang
Xiaowen Wang is a scholar working on Infectious Diseases, Economics and Econometrics, Epidemiology, Pediatrics, Perinatology and Child Health and Neurology, having authored 29 papers that have together received 404 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (6 papers), Global Maternal and Child Health (4 papers), Long-Term Effects of COVID-19 (3 papers), Viral Infections and Vectors (3 papers), COVID-19 Clinical Research Studies (3 papers), Regional Economics and Spatial Analysis (2 papers), Pregnancy and Medication Impact (2 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). The work is most often cited by research in Infectious Diseases (141 citations), Speech and Hearing (26 citations), Neurology (47 citations), Environmental Engineering (36 citations) and Microbiology (15 citations). Xiaowen Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David A. Morrow, Joshua Lang, Hasan K. Siddiqi, Erin A. Bohula, Filipe A. Moura, Lin Lü, Ping Zhang, Jintao Yang, Xiong Yao and Zhipeng Zhu. Their work appears in journals such as BMC Infectious Diseases, Microbial Pathogenesis, Toxins, Urban Climate and Medicine.
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.