Chi Duc Luu

7.0k citations
190 papers · 5.8k · h-index 45

Impact in

Papers in

Chi Duc Luu

187 papers receiving 5.6k citations

Peers

Chi Duc Luu
Comparison fields: 5 of 133
  • Ophthalmology 2.5k
  • Cellular and Molecular Neuroscience 1.1k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Neurology 189
  • Cognitive Neuroscience 418
Replace Michael Kalloniatis with:
Michael Kalloniatis Australia
Saddek Mohand‐Saïd France
Bang Viet Bui Australia
Yozo Miyake Japan
Mitchell Brigell United States
Dong Feng Chen United States
Glenn C. Yiu United States
Alexander I. Klistorner Australia
Brad A. Fortune United States
Yeni H. Yücel Canada
Chi Duc Luu relative to Michael Kalloniatis Australia Michael Kalloniatis's profile →
Citations per field
00.5×1.5×2.0×
Michael Kalloniatis · 1×
Citations per year

Countries citing papers authored by Chi Duc Luu

Since Specialization
Citations

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

Fields of papers citing papers by Chi Duc Luu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi Duc Luu. 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 Chi Duc Luu. The network helps show where Chi Duc Luu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014276
2 2014228
3 2018166
4 2014157
5 2016132
6 2011129
7 2013125
8 2018123
9 1997117
10 2013114
11 201098
12 201193
13 201591
14 201589
15 201486
16 201283
17 201481
18 201481
19 201879
20 201075

About Chi Duc Luu

Chi Duc Luu is a scholar working on Ophthalmology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Molecular Biology, having authored 190 papers that have together received 5.8k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (50 papers), Neuroscience and Neural Engineering (46 papers), Retinal Development and Disorders (28 papers), Photoreceptor and optogenetics research (15 papers), Retinal Imaging and Analysis (14 papers), Ophthalmology and Visual Impairment Studies (12 papers), Advanced Memory and Neural Computing (12 papers) and Glaucoma and retinal disorders (10 papers). The work is most often cited by research in Ophthalmology (2.5k citations), Cellular and Molecular Neuroscience (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Neurology (189 citations) and Cognitive Neuroscience (418 citations). Chi Duc Luu has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Robyn H. Guymer, Lauren N. Ayton, Zhichao Wu, Wallace S. Foulds, Veluchamy Amutha Barathi, Charanjit Kaur, Sivakumar Viswanathan, Lúcia Míriam Dumont Lucci, Gregory S. Hageman and William C. Hubbard. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Translational Vision Science & Technology, Clinical and Experimental Ophthalmology, Ophthalmology and Ophthalmology Retina.

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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