Jack Phu

1.5k citations
81 papers · 1.1k · h-index 19

Impact in

Papers in

Jack Phu

74 papers receiving 1.1k citations

Peers

Jack Phu
Comparison fields: 5 of 59
  • Ophthalmology 698
  • Radiology, Nuclear Medicine and Imaging 353
  • Health Informatics 12
  • Cognitive Neuroscience 60
  • Computer Vision and Pattern Recognition 60
Replace Giovanni Montesano with:
Giovanni Montesano United Kingdom
Alessandro A. Jammal United States
Yan Tong China
James A. Proudfoot United States
Maximilian Treder Germany
Xiang Fan China
Sonja Karst Austria
Ryan T. Yanagihara United States
Zvia Burgansky–Eliash Israel
Chaithanya Ramachandra United States
Jack Phu relative to Giovanni Montesano United Kingdom Giovanni Montesano's profile →
Citations per field
00.5×
Giovanni Montesano · 1×
Citations per year

Countries citing papers authored by Jack Phu

Since Specialization
Citations

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

Fields of papers citing papers by Jack Phu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jack Phu, 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 Jack Phu Line = papers co-authored together Jack Phu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021104
2 201769
3 201961
4 202042
5 201938
6 202138
7 201832
8 202131
9 201730
10 201729
11 201825
12 202022
13 202322
14 202222
15 202020
16 201820
17 202119
18 201918
19 201618
20 201918

About Jack Phu

Jack Phu is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Health Informatics, having authored 81 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (41 papers), Retinal Imaging and Analysis (14 papers), Retinal Diseases and Treatments (8 papers), Visual perception and processing mechanisms (7 papers), Corneal surgery and disorders (5 papers), Neural dynamics and brain function (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Ophthalmology (698 citations), Radiology, Nuclear Medicine and Imaging (353 citations), Health Informatics (12 citations), Cognitive Neuroscience (60 citations) and Computer Vision and Pattern Recognition (60 citations). Jack Phu has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michael Kalloniatis, Sieu K. Khuu, Ashish Agar, Barbara Zangerl, Michael Hennessy, Jeremy Tan, Katherine Masselos, Paul Kennedy, Mojtaba Golzan and Janelle Tong. Their work appears in journals such as Ophthalmic and Physiological Optics, Clinical and Experimental Optometry, Translational Vision Science & Technology, American Journal of Ophthalmology and Journal of Vision.

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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