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 3
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- CRISPR and Genetic Engineering 1
- Co-authors
- Bin Li (1 shared paper)Anna Garratt (1 shared paper)Andrew Hill (1 shared paper)Andrew Hill (3 shared papers)Junzheng Wang (1 shared paper)Jingchun Zhang (1 shared paper)Joseph Fortunak (1 shared paper)Yeh‐Hsing Lao (1 shared paper)
- Journals
- Journal of Cystic Fibrosis (3 papers)Drones (1 paper)Pediatric Pulmonology (1 paper)Advanced Materials (1 paper)Health Equity (1 paper)
- Partner nations
- United KingdomUnited StatesTaiwan
In The Last Decade
Jonathan Guo
7 papers receiving 508 citations
Jonathan Guo's Hit Papers
Peers
Comparison fields: 5 of 107
- Health Informatics 99
- Health Information Management 46
- Pulmonary and Respiratory Medicine 216
- Family Practice 9
- Radiology, Nuclear Medicine and Imaging 73
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 21 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 | 202 | |
| 2 | Worldwide rates of diagnosis and effective treatment for cystic fibrosis Hit paper breakdown → | 2022 | 192 |
| 3 | 2020 | 68 | |
| 4 | 2022 | 33 | |
| 5 | 2024 | 26 | |
| 6 | 2022 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2026 | 0 |
About Jonathan Guo
Jonathan Guo is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Computer Vision and Pattern Recognition, Health Informatics and Epidemiology, having authored 8 papers that have together received 524 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (3 papers), Immunodeficiency and Autoimmune Disorders (1 paper), Green IT and Sustainability (1 paper), Video Surveillance and Tracking Methods (1 paper), Fire Detection and Safety Systems (1 paper), Healthcare Systems and Public Health (1 paper), CRISPR and Genetic Engineering (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (99 citations), Health Information Management (46 citations), Pulmonary and Respiratory Medicine (216 citations), Family Practice (9 citations) and Radiology, Nuclear Medicine and Imaging (73 citations). Jonathan Guo has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Bin Li, Anna Garratt, Andrew Hill, Andrew Hill, Junzheng Wang, Jingchun Zhang, Joseph Fortunak, Yeh‐Hsing Lao, Dantong Huang and Hanze Hu. Their work appears in journals such as Journal of Cystic Fibrosis, Drones, Pediatric Pulmonology, Advanced Materials and Health Equity.
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.