John Giannini

471 citations
14 papers · 206 · h-index 7

Impact in

  • Biophysics top 10%
    • Advanced Fluorescence Microscopy Techniques
    • Retinal Diseases and Treatments

Papers in

John Giannini

13 papers receiving 200 citations

Peers

John Giannini
Comparison fields: 5 of 67
  • Biophysics 42
  • Ophthalmology 38
  • Structural Biology 3
  • Physical and Theoretical Chemistry 18
  • Media Technology 17
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Helen Ashton United Kingdom
Emily Cook United Kingdom
Patrycjusz Stremplewski Poland
Fred Reinholz Australia
Francisco J. Ávila Spain
J. Mayer Spain
Juergen Helfmann Germany
Wendy‐Julie Madore Canada
Álvaro Barroso Germany
Vincent A. Barnett United States
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Citations per year

Countries citing papers authored by John Giannini

Since Specialization
Citations

This map shows the geographic impact of John Giannini'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 Giannini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Giannini more than expected).

Fields of papers citing papers by John Giannini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Giannini. 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 Giannini. The network helps show where John Giannini may publish in the future.

Co-authors

The 25 scholars most cited alongside John Giannini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Giannini Line = papers co-authored together John Giannini links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201853
2 201451
3 202127
4 202121
5 202019
6 201318
7 20178
8 20163
9 20222
10 20241
11 20251
12
Adaptive optics retinal imaging with deep learning cone segmentation enables area-based analysis in RHO-associated retinitis pigmentosa
20211
13 20241
14 20250

About John Giannini

John Giannini is a scholar working on Biomedical Engineering, Molecular Biology, Ophthalmology, Public Health, Environmental and Occupational Health and Biophysics, having authored 14 papers that have together received 206 indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Retinal Diseases and Treatments (3 papers), Ophthalmology and Visual Impairment Studies (2 papers), Ethics in Clinical Research (2 papers), Global Cancer Incidence and Screening (2 papers), Simulation-Based Education in Healthcare (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Biophysics (42 citations), Ophthalmology (38 citations), Structural Biology (3 citations), Physical and Theoretical Chemistry (18 citations) and Media Technology (17 citations). John Giannini has collaborated with scholars based in United States and Thailand. Frequent co-authors include Hari Shroff, Jianfei Liu, Andrew J. Bower, Alfredo Dubra, Joanne Li, Tao Liu, Rongwen Lu, Johnny Tam, Xufeng Wu and Arpita Upadhyaya. Their work appears in journals such as JCO Clinical Cancer Informatics, Biomedical Optics Express, Nature Methods, Investigative Ophthalmology & Visual Science and Optica.

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.

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