John G. Pearce
- Ophthalmology top 10%
- Ocular Infections and Treatments 3
- Glaucoma and retinal disorders 3
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- Simulation Techniques and Applications 4
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- AI in cancer detection 3
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- Antibiotics Pharmacokinetics and Efficacy 3
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- Medical Imaging Techniques and Applications 2
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- Optical Coherence Tomography Applications 2
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- Real-time simulation and control systems 2
- Co-authors
- Malcolm C. PikeYuri R. PariskyDarcy SpicerGiske UrsinTed MaddessNorman L. PattDonna ShoupeAndy Pike
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
John G. Pearce
31 papers receiving 456 citations
Peers
Comparison fields: 5 of 102
- Oncology 202
- Pulmonary and Respiratory Medicine 219
- Cancer Research 98
- Ophthalmology 46
- Pathology and Forensic Medicine 80
Countries citing papers authored by John G. Pearce
This map shows the geographic impact of John G. Pearce'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 John G. Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John G. Pearce more than expected).
Fields of papers citing papers by John G. Pearce
This network shows the impact of papers produced by John G. Pearce. 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 John G. Pearce. The network helps show where John G. Pearce may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John G. Pearce, 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 | 2023 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 10 | |
| 4 | 2018 | 19 | |
| 5 | Diurnal variation in summary measures and inter-visit test-retest variability of standard automated perimetry and spectral domain optical coherence tomography | 2016 | 1 |
| 6 | 2016 | 12 | |
| 7 | 2016 | 9 | |
| 8 | 2012 | 1 | |
| 9 | 2011 | 2 | |
| 10 | 2009 | 5 | |
| 11 | 1998 | 9 | |
| 12 | The detection of changes in mammographic densities. | 1998 | 128 |
| 13 | Breast carcinoma presenting as mammographic microcalcifications in axillary lymph nodes | 1995 | 3 |
| 14 | 1995 | 23 | |
| 15 | 1994 | 115 | |
| 16 | 1985 | 3 | |
| 17 | 1976 | 12 | |
| 18 | 1974 | 34 | |
| 19 | 1965 | 7 | |
| 20 | Intraductal papilloma of the breast. | 1961 | 23 |
About John G. Pearce
John G. Pearce is a scholar working on Ophthalmology, Family Practice and Management Science and Operations Research, having authored 33 papers that have together received 477 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (4 papers), Ocular Infections and Treatments (3 papers), Glaucoma and retinal disorders (3 papers), AI in cancer detection (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Medical Imaging Techniques and Applications (2 papers), Optical Coherence Tomography Applications (2 papers) and Real-time simulation and control systems (2 papers). The work is most often cited by research in Oncology (202 citations), Pulmonary and Respiratory Medicine (219 citations) and Cancer Research (98 citations). John G. Pearce has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Malcolm C. Pike, Yuri R. Parisky, Darcy Spicer, Giske Ursin, Ted Maddess, Norman L. Patt, Donna Shoupe, Andy Pike, Melvin A. Astrahan and John R. Daniels.
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.