Jun Wei Hou
Impact in
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 5
- Viral gastroenteritis research and epidemiology 5
- Co-authors
- Shiqiang Xiong (12 shared papers)K. C. Chadha (1 shared paper)Stanley A. Schwartz (1 shared paper)Madhavan Nair (1 shared paper)Lianghai Wang (5 shared papers)Jianyou Shi (2 shared papers)Pan Long (3 shared papers)Xiangwei Wu (3 shared papers)
- Journals
- Signal Transduction and Targeted Therapy (2 papers)Cardiovascular Diabetology (2 papers)Frontiers in Cardiovascular Medicine (2 papers)Chinese Chemical Letters (1 paper)eLife (1 paper)
- Partner nations
- ChinaUnited Arab EmiratesCanada
In The Last Decade
Jun Wei Hou
47 papers receiving 809 citations
Peers
Comparison fields: 5 of 100
- Infectious Diseases 107
- Virology 26
- Immunology 112
- Cancer Research 68
- Neurology 33
Countries citing papers authored by Jun Wei Hou
This map shows the geographic impact of Jun Wei Hou'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 Jun Wei Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wei Hou more than expected).
Fields of papers citing papers by Jun Wei Hou
This network shows the impact of papers produced by Jun Wei Hou. 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 Jun Wei Hou. The network helps show where Jun Wei Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wei Hou, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 91 | |
| 2 | 2017 | 83 | |
| 3 | 2022 | 72 | |
| 4 | 2022 | 67 | |
| 5 | 2020 | 45 | |
| 6 | 2021 | 34 | |
| 7 | 2022 | 33 | |
| 8 | 2023 | 32 | |
| 9 | 2022 | 30 | |
| 10 | 2022 | 30 | |
| 11 | 2023 | 27 | |
| 12 | 2022 | 25 | |
| 13 | 2022 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2024 | 19 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 13 | |
| 18 | 2011 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2022 | 11 |
About Jun Wei Hou
Jun Wei Hou is a scholar working on Infectious Diseases, Cancer Research, Immunology, Genetics and Epidemiology, having authored 47 papers that have together received 825 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Immune cells in cancer (3 papers), Virus-based gene therapy research (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), RNA modifications and cancer (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Infectious Diseases (107 citations), Virology (26 citations), Immunology (112 citations), Cancer Research (68 citations) and Neurology (33 citations). Jun Wei Hou has collaborated with scholars based in China, United Arab Emirates and Canada. Frequent co-authors include Shiqiang Xiong, K. C. Chadha, Stanley A. Schwartz, Madhavan Nair, Lianghai Wang, Jianyou Shi, Pan Long, Xiangwei Wu, Xudong Wen and Xueling Chen. Their work appears in journals such as Signal Transduction and Targeted Therapy, Cardiovascular Diabetology, Frontiers in Cardiovascular Medicine, Chinese Chemical Letters and eLife.
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.