Susan Ostmo

4.9k total citations · 1 hit paper
86 papers, 1.7k citations indexed

About

Susan Ostmo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Ophthalmology. According to data from OpenAlex, Susan Ostmo has authored 86 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Radiology, Nuclear Medicine and Imaging, 43 papers in Pediatrics, Perinatology and Child Health and 33 papers in Ophthalmology. Recurrent topics in Susan Ostmo's work include Retinopathy of Prematurity Studies (70 papers), Neonatal and fetal brain pathology (41 papers) and Neonatal Respiratory Health Research (27 papers). Susan Ostmo is often cited by papers focused on Retinopathy of Prematurity Studies (70 papers), Neonatal and fetal brain pathology (41 papers) and Neonatal Respiratory Health Research (27 papers). Susan Ostmo collaborates with scholars based in United States, South Korea and Canada. Susan Ostmo's co-authors include Michael F. Chiang, J. Peter Campbell, R.V. Paul Chan, Jayashree Kalpathy–Cramer, Deniz Erdoğmuş, James M. Brown, Karyn Jonas, Stratis Ioannidis, Jennifer Dy and Ken Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Ophthalmology.

In The Last Decade

Susan Ostmo

77 papers receiving 1.6k 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.

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

2018 396 citations James M. Brown, J. Peter Campbell et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Susan Ostmo United States	22	1.5k	735	596	523	159	86	1.7k
Jithin Yohannan United States	15	465 0.3×	588 0.8×	24 0.0×	157 0.3×	23 0.1×	50	854
Ryan Amelon United States	7	754 0.5×	562 0.8×	6 0.0×	64 0.1×	68 0.4×	15	945
Naama Hammel United States	16	874 0.6×	814 1.1×	6 0.0×	30 0.1×	75 0.5×	41	1.2k
Huaxuan Wen China	12	142 0.1×	10 0.0×	227 0.4×	91 0.2×	50 0.3×	33	540
T. Y. Alvin Liu United States	13	369 0.3×	361 0.5×	13 0.0×	13 0.0×	38 0.2×	57	598
Javin Schefflein United States	10	220 0.1×	57 0.1×	8 0.0×	50 0.1×	88 0.6×	21	742
Brent J. Liu United States	10	190 0.1×	24 0.0×	10 0.0×	90 0.2×	85 0.5×	74	550
Lanqin Zhao China	16	461 0.3×	400 0.5×	9 0.0×	8 0.0×	20 0.1×	34	632
Warren Clarida United States	3	675 0.5×	533 0.7×	7 0.0×	7 0.0×	37 0.2×	4	781
Alice Yu United States	12	522 0.4×	8 0.0×	25 0.0×	110 0.2×	80 0.5×	21	745

Countries citing papers authored by Susan Ostmo

Since Specialization

Citations

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

Fields of papers citing papers by Susan Ostmo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Ostmo

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

All Works

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20 of 20 papers shown

Coyner, Aaron S., Shuibin Ni, Susan Ostmo, et al.. (2025). Topographic Features in Retinopathy of Prematurity With en Face Ultra-Widefield OCT. Ophthalmology Retina. 10(1). 88–94.

Coyner, Aaron S., Benjamin K. Young, Susan Ostmo, et al.. (2024). Use of an Artificial Intelligence-Generated Vascular Severity Score Improved Plus Disease Diagnosis in Retinopathy of Prematurity. Ophthalmology. 131(11). 1290–1296. 4 indexed citations

Ni, Shuibin, Aaron S. Coyner, Susan Ostmo, et al.. (2024). Isolated Retinal Neovascularization in Retinopathy of Prematurity. Ophthalmology Retina. 8(10). 1021–1028. 5 indexed citations

Ni, Shuibin, Susan Ostmo, Yali Jia, et al.. (2024). Panretinal handheld OCT angiography for pediatric retinal imaging. Biomedical Optics Express. 15(5). 3412–3412. 11 indexed citations

Cole, Emily, Nita Valikodath, Tala Al-Khaled, et al.. (2022). Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia. SHILAP Revista de lepidopterología. 2(4). 100165–100165. 9 indexed citations

Ni, Shuibin, Xiang Wei, Susan Ostmo, et al.. (2022). Advantages of Widefield Optical Coherence Tomography in the Diagnosis of Retinopathy of Prematurity. Frontiers in Pediatrics. 9. 797684–797684. 23 indexed citations

Coyner, Aaron S., Jimmy Chen, Ken Chang, et al.. (2022). Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence. SHILAP Revista de lepidopterología. 2(2). 100126–100126. 25 indexed citations

Singh, Praveer, J. Peter Campbell, Susan Ostmo, et al.. (2021). External validation of a deep learning algorithm for plus disease classification on a multinational ROP dataset. Investigative Ophthalmology & Visual Science. 62(8). 3266–3266.

Tan, Hao, Patricia M. Blasco, Tamorah Lewis, et al.. (2021). Neurodevelopmental outcomes in preterm infants with retinopathy of prematurity. Survey of Ophthalmology. 66(5). 877–891. 17 indexed citations

10.

Campbell, J. Peter, et al.. (2020). Automated Assessment of Stage in Retinopathy of Prematurity using Deep Learning. Investigative Ophthalmology & Visual Science. 61(7). 2775–2775. 1 indexed citations

11.

Dy, Jennifer, Deniz Erdoğmuş, Jayashree Kalpathy–Cramer, et al.. (2020). Fast and Accurate Ranking Regression.. International Conference on Artificial Intelligence and Statistics. 77–88. 3 indexed citations

12.

Ostmo, Susan, James M. Brown, Jayashree Kalpathy–Cramer, et al.. (2020). Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity. Journal of American Association for Pediatric Ophthalmology and Strabismus. 24(3). 160–162. 24 indexed citations

13.

Redd, Travis K., J. Peter Campbell, James M. Brown, et al.. (2018). Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity. British Journal of Ophthalmology. 103(5). 580–584. 107 indexed citations

14.

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

15.

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

16.

Kang, Kai B., Samir Patel, Karyn Jonas, et al.. (2016). Characterization of Errors in Retinopathy of Prematurity (ROP) Diagnosis by International Ophthalmology Residents. Investigative Ophthalmology & Visual Science. 57(12). 2 indexed citations

17.

Campbell, J. Peter, Michaël Ryan, Peng Tian, et al.. (2016). Diagnostic Discrepancies in Retinopathy of Prematurity Classification. Ophthalmology. 123(8). 1795–1801. 46 indexed citations

18.

Abbey, Ashkan M., Cagri G. Besirli, David C. Musch, et al.. (2015). Evaluation of Screening for Retinopathy of Prematurity by ROPtool or a Lay Reader. Ophthalmology. 123(2). 385–390. 32 indexed citations

19.

Fink, Cassandra, et al.. (2013). The Incidence of Retinopathy of Prematurity in Armenia. Investigative Ophthalmology & Visual Science. 54(15). 595–595. 2 indexed citations

20.

Ostmo, Susan, et al.. (2013). Armenian ROP EyeCare Project: Agreement Between Ophthalmoscopic Diagnosis by Newly Trained Local Ophthalmologists vs. Remote Image-Based Diagnosis by Experts. Investigative Ophthalmology & Visual Science. 54(15). 599–599. 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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