Jun Hou
Impact in
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- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
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- Viral gastroenteritis research and epidemiology 4
- COVID-19 Clinical Research Studies 2
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- Epigenetics and DNA Methylation 2
- Co-authors
- Shiqiang Xiong (12 shared papers)K. C. Chadha (1 shared paper)Madhavan Nair (1 shared paper)Stanley A. Schwartz (1 shared paper)Lianghai Wang (5 shared papers)Jianyou Shi (2 shared papers)Xiangwei Wu (3 shared papers)Pan Long (3 shared papers)
- Journals
- Cardiovascular Diabetology (2 papers)Frontiers in Cardiovascular Medicine (2 papers)Signal Transduction and Targeted Therapy (1 paper)Journal of Virology (1 paper)Diabetes Research and Clinical Practice (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Hou
44 papers receiving 627 citations
Peers
Comparison fields: 5 of 95
- Virology 24
- Immunology 98
- Cancer Research 65
- Neurology 29
- Endocrinology, Diabetes and Metabolism 47
Countries citing papers authored by Jun Hou
This map shows the geographic impact of Jun 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 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 Hou more than expected).
Fields of papers citing papers by Jun Hou
This network shows the impact of papers produced by Jun 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 Hou. The network helps show where Jun Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 87 | |
| 2 | 2017 | 74 | |
| 3 | 2022 | 62 | |
| 4 | 2022 | 60 | |
| 5 | 2020 | 45 | |
| 6 | 2022 | 28 | |
| 7 | 2023 | 27 | |
| 8 | 2022 | 25 | |
| 9 | 2023 | 24 | |
| 10 | 2022 | 19 | |
| 11 | 2024 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2011 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2022 | 10 | |
| 16 | Clinical study on the changes of the tumor target volume and organs at risk in helical tomotherapy for nasopharyngeal carcinoma. | 2012 | 10 |
| 17 | 2020 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2025 | 9 |
About Jun Hou
Jun Hou is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Genetics and Immunology, having authored 46 papers that have together received 640 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (4 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), Epigenetics and DNA Methylation (2 papers), Respiratory viral infections research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Virology (24 citations), Immunology (98 citations), Cancer Research (65 citations), Neurology (29 citations) and Endocrinology, Diabetes and Metabolism (47 citations). Jun Hou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shiqiang Xiong, K. C. Chadha, Madhavan Nair, Stanley A. Schwartz, Lianghai Wang, Jianyou Shi, Xiangwei Wu, Pan Long, Xudong Wen and Xueling Chen. Their work appears in journals such as Cardiovascular Diabetology, Frontiers in Cardiovascular Medicine, Signal Transduction and Targeted Therapy, Journal of Virology and Diabetes Research and Clinical Practice.
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.