Ryan Swan

928 total citations · 1 hit paper
6 papers, 395 citations indexed

About

Ryan Swan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Ophthalmology. According to data from OpenAlex, Ryan Swan has authored 6 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Ophthalmology. Recurrent topics in Ryan Swan's work include Retinopathy of Prematurity Studies (6 papers), Neonatal and fetal brain pathology (4 papers) and Retinal Imaging and Analysis (3 papers). Ryan Swan is often cited by papers focused on Retinopathy of Prematurity Studies (6 papers), Neonatal and fetal brain pathology (4 papers) and Retinal Imaging and Analysis (3 papers). Ryan Swan collaborates with scholars based in United States, South Korea and Mexico. Ryan Swan's co-authors include R.V. Paul Chan, Michael F. Chiang, J. Peter Campbell, Sang Jin Kim, Alexander Port, Susan Ostmo, Karyn Jonas, Camila V. Ventura, Kent D. Taylor and Charles F. Simmons and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Survey of Ophthalmology and Ophthalmology Retina.

In The Last Decade

Ryan Swan

6 papers receiving 389 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Retinopathy of prematurity: a review of risk factors and their clinical significance

2018 338 citations Sang Jin Kim, Alexander Port et al. Survey of Ophthalmology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ryan Swan United States	4	350	254	215	78	54	6	395
C Wilson United States	8	164 0.5×	98 0.4×	128 0.6×	61 0.8×	47 0.9×	16	289
Letizia Padrini Italy	3	121 0.3×	100 0.4×	85 0.4×	48 0.6×	8 0.1×	5	179
Megan M. Geloneck United States	5	396 1.1×	241 0.9×	167 0.8×	217 2.8×	51 0.9×	7	430
R S Clemett New Zealand	9	202 0.6×	161 0.6×	202 0.9×	82 1.1×	39 0.7×	19	368
Eugene Ng Ireland	6	375 1.1×	236 0.9×	172 0.8×	158 2.0×	69 1.3×	7	389
Gökhan Çelik Türkiye	10	247 0.7×	130 0.5×	90 0.4×	144 1.8×	37 0.7×	38	335
Michael Fielden Canada	9	210 0.6×	159 0.6×	117 0.5×	136 1.7×	32 0.6×	15	305
Gaurav Sanghi India	9	318 0.9×	250 1.0×	188 0.9×	84 1.1×	47 0.9×	17	322
Adam L. Rothman United States	13	327 0.9×	88 0.3×	132 0.6×	263 3.4×	19 0.4×	27	397
Trevano W. Dean United States	10	243 0.7×	148 0.6×	79 0.4×	197 2.5×	125 2.3×	16	375

Countries citing papers authored by Ryan Swan

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Swan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Swan

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Swan. A scholar is included among the top collaborators of Ryan Swan 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 Ryan Swan. Ryan Swan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Kim, Sang Jin, Alexander Port, Ryan Swan, et al.. (2018). Retinopathy of prematurity: a review of risk factors and their clinical significance. Survey of Ophthalmology. 63(5). 618–637. 338 indexed citations breakdown →

2.

Swan, Ryan, Sang Jin Kim, J. Peter Campbell, et al.. (2018). The Genetics of Retinopathy of Prematurity: A Model for Neovascular Retinal Disease. Ophthalmology Retina. 2(9). 949–962. 19 indexed citations

3.

Coyner, Aaron S., Ryan Swan, James M. Brown, et al.. (2018). Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity. PubMed. 2018(9). 1224–1232. 12 indexed citations

4.

Campbell, J. Peter, Ryan Swan, Karyn Jonas, et al.. (2017). Implementation and evaluation of a tele-education system for the diagnosis of ophthalmic disease by international trainees.. PubMed. 2015. 366–75. 23 indexed citations

5.

Kalpathy–Cramer, Jayashree, J. Peter Campbell, Sang Kim, et al.. (2017). Deep learning for the identification of plus disease in retinopathy of prematurity. Investigative Ophthalmology & Visual Science. 58(8). 5554–5554. 2 indexed citations

6.

Coyner, Aaron S., Ryan Swan, Jayashree Kalpathy–Cramer, et al.. (2017). Automated Image Quality Assessment for Fundus Images in Retinopathy of Prematurity. Investigative Ophthalmology & Visual Science. 58(8). 5550–5550. 1 indexed citations

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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