Haixuan Wang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
-
- Immunotherapy and Immune Responses
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 5
- Viral gastroenteritis research and epidemiology 2
- Viral Infections and Vectors 2
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- Gut microbiota and health 3
- Co-authors
- Jiandong Shi (8 shared papers)Yunzhang Hu (7 shared papers)Ningzhu Hu (6 shared papers)Jing Sun (4 shared papers)Yanhan Li (3 shared papers)Jing Zhang (1 shared paper)Yixue Bao (1 shared paper)Jihua Wang (1 shared paper)
- Journals
- Gut Microbes (2 papers)Neurocomputing (2 papers)PLoS ONE (2 papers)Microbiome (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Haixuan Wang
23 papers receiving 296 citations
Peers
Comparison fields: 5 of 80
- Infectious Diseases 102
- Immunology 54
- Animal Science and Zoology 24
- Biological Psychiatry 5
- Molecular Biology 132
Countries citing papers authored by Haixuan Wang
This map shows the geographic impact of Haixuan 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 Haixuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haixuan Wang more than expected).
Fields of papers citing papers by Haixuan Wang
This network shows the impact of papers produced by Haixuan 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 Haixuan Wang. The network helps show where Haixuan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haixuan 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 86 | |
| 2 | 2019 | 32 | |
| 3 | 2023 | 32 | |
| 4 | 2014 | 29 | |
| 5 | 2014 | 25 | |
| 6 | 2022 | 22 | |
| 7 | 2023 | 11 | |
| 8 | 2015 | 10 | |
| 9 | 2014 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2025 | 2 |
About Haixuan Wang
Haixuan Wang is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Epidemiology and Aerospace Engineering, having authored 32 papers that have together received 299 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (5 papers), Gut microbiota and health (3 papers), Plant pathogens and resistance mechanisms (2 papers), interferon and immune responses (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infections and Vectors (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Infectious Diseases (102 citations), Immunology (54 citations), Animal Science and Zoology (24 citations), Biological Psychiatry (5 citations) and Molecular Biology (132 citations). Haixuan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiandong Shi, Yunzhang Hu, Ningzhu Hu, Jing Sun, Yanhan Li, Jing Zhang, Yixue Bao, Jihua Wang, Shiqiang Xu and Baoshan Chen. Their work appears in journals such as Gut Microbes, Neurocomputing, PLoS ONE, Microbiome and The FASEB Journal.
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.