Jonathan Guo
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Cystic Fibrosis Research Advances 4
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- Cancer therapeutics and mechanisms 1
- Co-authors
- Bin Li (1 shared paper)Anna Garratt (1 shared paper)Andrew Hill (1 shared paper)Andrew Hill (3 shared papers)Jingchun Zhang (1 shared paper)Junzheng Wang (1 shared paper)Joseph Fortunak (1 shared paper)Mingqiang Li (1 shared paper)
- Journals
- Journal of Cystic Fibrosis (3 papers)Drones (1 paper)Food Quality and Safety (1 paper)Advanced Materials (1 paper)Pediatric Pulmonology (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Jonathan Guo
9 papers receiving 638 citations
Jonathan Guo's Hit Papers
Peers
Comparison fields: 5 of 117
- Health Informatics 104
- Health Information Management 47
- Pulmonary and Respiratory Medicine 242
- Family Practice 7
- Radiology, Nuclear Medicine and Imaging 59
Countries citing papers authored by Jonathan Guo
This map shows the geographic impact of Jonathan Guo'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 Jonathan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Guo more than expected).
Fields of papers citing papers by Jonathan Guo
This network shows the impact of papers produced by Jonathan Guo. 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 Jonathan Guo. The network helps show where Jonathan Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Guo, 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 | 2018 | 264 | |
| 2 | Worldwide rates of diagnosis and effective treatment for cystic fibrosis Hit paper breakdown → | 2022 | 219 |
| 3 | 2020 | 71 | |
| 4 | 2022 | 34 | |
| 5 | 2021 | 31 | |
| 6 | 2024 | 29 | |
| 7 | 2020 | 23 | |
| 8 | 2022 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2026 | 0 |
About Jonathan Guo
Jonathan Guo is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Computer Vision and Pattern Recognition, Oncology and Health Informatics, having authored 10 papers that have together received 675 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (4 papers), Phytochemicals and Antioxidant Activities (1 paper), Fire Detection and Safety Systems (1 paper), Healthcare Systems and Public Health (1 paper), Global Health and Surgery (1 paper), Cancer therapeutics and mechanisms (1 paper), Botanical Research and Applications (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Health Informatics (104 citations), Health Information Management (47 citations), Pulmonary and Respiratory Medicine (242 citations), Family Practice (7 citations) and Radiology, Nuclear Medicine and Imaging (59 citations). Jonathan Guo has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Bin Li, Anna Garratt, Andrew Hill, Andrew Hill, Jingchun Zhang, Junzheng Wang, Joseph Fortunak, Mingqiang Li, Yeh‐Hsing Lao and Dantong Huang. Their work appears in journals such as Journal of Cystic Fibrosis, Drones, Food Quality and Safety, Advanced Materials and Pediatric Pulmonology.
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.