Xiangjun Wang
Impact in
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- Analytical Methods in Pharmaceuticals
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Ginseng Biological Effects and Applications 3
- Lipid Membrane Structure and Behavior 3
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- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Jing Chen (1 shared paper)Huaizhen He (7 shared papers)Yajing Hou (7 shared papers)Wei Wang (2 shared papers)Chéng Wáng (3 shared papers)Feng Yao (1 shared paper)Chao Huang (1 shared paper)Feng Xu (1 shared paper)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (2 papers)International Journal of Molecular Sciences (2 papers)Frontiers in Pharmacology (2 papers)Environmental Geochemistry and Health (2 papers)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiangjun Wang
46 papers receiving 456 citations
Peers
Comparison fields: 5 of 126
- Analytical Chemistry 32
- Infectious Diseases 54
- Pharmacology 25
- Modeling and Simulation 11
- Computational Mechanics 48
Countries citing papers authored by Xiangjun Wang
This map shows the geographic impact of Xiangjun 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 Xiangjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangjun Wang more than expected).
Fields of papers citing papers by Xiangjun Wang
This network shows the impact of papers produced by Xiangjun 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 Xiangjun Wang. The network helps show where Xiangjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangjun 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 40 | |
| 2 | 2022 | 35 | |
| 3 | 2022 | 35 | |
| 4 | 2021 | 31 | |
| 5 | 2021 | 28 | |
| 6 | 2014 | 23 | |
| 7 | 2015 | 23 | |
| 8 | 2020 | 22 | |
| 9 | 2015 | 15 | |
| 10 | 2006 | 14 | |
| 11 | 2005 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2012 | 13 | |
| 16 | 2015 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2023 | 8 | |
| 20 | 2014 | 8 |
About Xiangjun Wang
Xiangjun Wang is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Physiology and Oncology, having authored 52 papers that have together received 464 indexed citations. Recurring topics across this work include Mast cells and histamine (5 papers), Cancer-related molecular mechanisms research (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Asthma and respiratory diseases (3 papers), Ginseng Biological Effects and Applications (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Wind and Air Flow Studies (3 papers). The work is most often cited by research in Analytical Chemistry (32 citations), Infectious Diseases (54 citations), Pharmacology (25 citations), Modeling and Simulation (11 citations) and Computational Mechanics (48 citations). Xiangjun Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jing Chen, Huaizhen He, Yajing Hou, Wei Wang, Chéng Wáng, Feng Yao, Chao Huang, Feng Xu, Hui Li and Hui Hu. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, International Journal of Molecular Sciences, Frontiers in Pharmacology, Environmental Geochemistry and Health and The International Journal of Biochemistry & Cell Biology.
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.