Brian J. Song

1.5k citations
50 papers · 1.0k indexed · h-index 19
Topics
Glaucoma and retinal disorders (27 papers)Retinal Diseases and Treatments (22 papers)Retinal Imaging and Analysis (15 papers)

In The Last Decade

Brian J. Song

46 papers receiving 990 citations

Peers

Brian J. Song
Comparison fields: 5 of 93
  • Ophthalmology 690
  • Radiology, Nuclear Medicine and Imaging 508
  • Molecular Biology 192
  • Biomedical Engineering 80
  • Neurology 71
Replace Ângela Carneiro with:
Ângela Carneiro Portugal
Rosangela Lattanzio Italy
Ming‐Cheng Tai Taiwan
Zofia Mariak Poland
Francesco Morescalchi Italy
Satyanarayana S Vedula United States
Rosa Dolz‐Marco Spain
Tien‐En Tan Singapore
Johanna M. Colijn Netherlands
Conceição Lobo Portugal
Brian J. Song relative to Ângela Carneiro Portugal Ângela Carneiro's profile →
Citations per field
00.5×1.5×2.4×
Ângela Carneiro · 1×
Citations per year

Countries citing papers authored by Brian J. Song

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Song. 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 Brian J. Song. The network helps show where Brian J. Song may publish in the future.

Co-authorship network of co-authors of Brian J. Song

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Song. A scholar is included among the top collaborators of Brian J. Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian J. Song. Brian J. Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 8
4 40
5 10
6 11
7 3
8 8
9 22
10 25
11
Quantifying Difficulties of University Students with Disabilities.
8
12
Automated Evaluation of Optic Disc Images for Manifest Glaucoma Detection Using a Deep-Learning, Neural Network-Based Algorithm
4
13 13
14 60
15 20
16 107
17 37
18 0
19 41
20 35

About Brian J. Song

Brian J. Song is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (27 papers), Retinal Diseases and Treatments (22 papers) and Retinal Imaging and Analysis (15 papers). The work is most often cited by research in Ophthalmology (690 citations), Radiology, Nuclear Medicine and Imaging (508 citations) and Neurology (71 citations). Brian J. Song has collaborated with scholars based in United States, United Kingdom and Uganda. Frequent co-authors include Louis R. Pasquale, Sayon Roy, Timothy S. Kern, Caren M Stuebe, Lloyd Paul Aiello, Joseph Caprioli, Simon K. Law, Jano van Hemert, Alan Fleming and Liangxiu Han. Their work appears in journals such as PLoS ONE, Ophthalmology and Science Advances.

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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