Guihua Zhai
- Pollution top 5%
- Geochemistry and Petrology top 10%
- Atmospheric Science top 10%
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- Advanced MRI Techniques and Applications 3
- Advanced Neuroimaging Techniques and Applications 3
- MRI in cancer diagnosis 2
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- Signaling Pathways in Disease 4
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- Pancreatic and Hepatic Oncology Research 3
- Peptidase Inhibition and Analysis 3
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- Cardiovascular Disease and Adiposity 2
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- Innovations in Medical Education 2
Guihua Zhai
23 papers receiving 592 citations
Peers
Comparison fields: 5 of 119
- Pollution 155
- Health, Toxicology and Mutagenesis 169
- Geochemistry and Petrology 60
- Atmospheric Science 113
- Radiology, Nuclear Medicine and Imaging 134
Countries citing papers authored by Guihua Zhai
This map shows the geographic impact of Guihua Zhai'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 Guihua Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guihua Zhai more than expected).
Fields of papers citing papers by Guihua Zhai
This network shows the impact of papers produced by Guihua Zhai. 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 Guihua Zhai. The network helps show where Guihua Zhai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guihua Zhai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | A Comparative Analysis of Responses of Artificial Intelligence Chatbots in Special Needs Dentistry. | 2024 | 2 |
| 6 | 2023 | 6 | |
| 7 | 2022 | 3 | |
| 8 | 2015 | 25 | |
| 9 | 2015 | 7 | |
| 10 | 2014 | 17 | |
| 11 | 2013 | 9 | |
| 12 | 2013 | 3 | |
| 13 | 2013 | 10 | |
| 14 | Chemical-shift water-fat MRI of white adipose depots: inability to resolve cell size differences. | 2013 | 6 |
| 15 | 2011 | 30 | |
| 16 | 2011 | 17 | |
| 17 | 2011 | 15 | |
| 18 | 2004 | 51 | |
| 19 | 2003 | 69 | |
| 20 | 2001 | 281 |
About Guihua Zhai
Guihua Zhai is a scholar working on Health Informatics, General Dentistry, Orthodontics, Toxicology and Oncology, having authored 26 papers that have together received 602 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), MRI in cancer diagnosis (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Innovations in Medical Education (2 papers). The work is most often cited by research in Pollution (155 citations), Health, Toxicology and Mutagenesis (169 citations), Geochemistry and Petrology (60 citations), Atmospheric Science (113 citations) and Radiology, Nuclear Medicine and Imaging (134 citations). Guihua Zhai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Guido Gerig, John H. Gilmore, Kathy Wilber, Weili Lin, Jie Tang, Hitoshi Mukai, Atsushi Tanaka, Jiti Zhou, Jing Zhao and Toshihiro Fujii. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Molecular Imaging and Biology, Molecular Cancer Therapeutics, Brain Research and Journal of the American Heart Association.
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.