Can Hou
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- RNA modifications and cancer 2
- Genetics 6
- Diabetes and associated disorders 6
- Co-authors
- Zhiguang Zhou (7 shared papers)Lin Yang (4 shared papers)Sheng Zhang (4 shared papers)En‐Zhi Jia (4 shared papers)Yaqing Zhou (4 shared papers)Shu He (3 shared papers)Gan Huang (4 shared papers)Lei Hua (1 shared paper)
- Journals
- Analytical and Bioanalytical Chemistry (1 paper)Nutrition and Diabetes (1 paper)Journal of Autoimmunity (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Journal of Diabetes Investigation (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Can Hou
20 papers receiving 577 citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 172
- Neurology 115
- Endocrinology, Diabetes and Metabolism 116
- Genetics 167
- Immunology 101
Countries citing papers authored by Can Hou
This map shows the geographic impact of Can 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 Can Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Hou more than expected).
Fields of papers citing papers by Can Hou
This network shows the impact of papers produced by Can 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 Can Hou. The network helps show where Can Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 221 | |
| 2 | 2014 | 71 | |
| 3 | 2013 | 54 | |
| 4 | 2011 | 50 | |
| 5 | 2007 | 22 | |
| 6 | 2021 | 22 | |
| 7 | 2017 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2018 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2013 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2021 | 8 | |
| 15 | [Histone H3 acetylation of tumor necrosis factor-alpha and cyclooxygenase-2 in patients with type 2 diabetes]. | 2011 | 8 |
| 16 | 2016 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 1 | |
| 20 | 2015 | 1 |
About Can Hou
Can Hou is a scholar working on Molecular Biology, Genetics, Immunology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 21 papers that have together received 581 indexed citations. Recurring topics across this work include Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (4 papers), Diabetes Management and Research (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Infectious Diseases (172 citations), Neurology (115 citations), Endocrinology, Diabetes and Metabolism (116 citations), Genetics (167 citations) and Immunology (101 citations). Can Hou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhiguang Zhou, Lin Yang, Sheng Zhang, En‐Zhi Jia, Yaqing Zhou, Shu He, Gan Huang, Lei Hua, Jinhai Li and Chenhui Zhao. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Nutrition and Diabetes, Journal of Autoimmunity, Frontiers in Cell and Developmental Biology and Journal of Diabetes Investigation.
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.