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.
Adalimumab in Patients with Active Noninfectious Uveitis
2016418 citationsGlenn J. Jaffe, Andrew D. Dick et al.New England Journal of Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Eric B. Suhler
Since
Specialization
Citations
This map shows the geographic impact of Eric B. Suhler'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 Eric B. Suhler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric B. Suhler more than expected).
This network shows the impact of papers produced by Eric B. Suhler. 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 Eric B. Suhler. The network helps show where Eric B. Suhler may publish in the future.
Co-authorship network of co-authors of Eric B. Suhler
This figure shows the co-authorship network connecting the top 25 collaborators of Eric B. Suhler.
A scholar is included among the top collaborators of Eric B. Suhler 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 Eric B. Suhler. Eric B. Suhler 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
1.
Watkins, Timothy R., Quan Dong Nguyen, David K. Scales, et al.. (2024). Filgotinib in Active Noninfectious Uveitis. JAMA Ophthalmology. 142(9). 789–789.7 indexed citations
Kempen, John H., Craig Newcomb, C. Stephen Foster, et al.. (2019). Risk of Overall and Cancer Mortality After Immunosuppression of Patients with Non-infectious Ocular Inflammatory Diseases.. Investigative Ophthalmology & Visual Science. 60(9). 3854–3854.1 indexed citations
7.
Suhler, Eric B.. (2018). Safety and Efficacy of an intravitreal 0.18 mg fluocinolone acetonide insert (FAi) for the treatment of non-infectious posterior segment uveitis (NIPU) – pooled results of two phase 3 trials. Investigative Ophthalmology & Visual Science. 59(9). 5952–5952.1 indexed citations
8.
Jaffe, Glenn J., Andrew D. Dick, Antoine P. Brézin, et al.. (2016). Adalimumab in Patients with Active Noninfectious Uveitis. New England Journal of Medicine. 375(10). 932–943.418 indexed citations breakdown →
9.
Jia, Yali, Liang Liu, Neal Palejwala, et al.. (2015). Assessment of Macular Circulation in Patients With Retinal Vasculitis using OCT Angiography. Investigative Ophthalmology & Visual Science. 56(7). 3359–3359.1 indexed citations
10.
Suhler, Eric B., Tracy R. Giles, Phoebe Lin, Amde Selassie Shifera, & James T. Rosenbaum. (2015). An Open-Label Trial to Assess the Efficacy and Safety of Tocilizumab in the Management of Juvenile Idiopathic Arthritis-Associated Uveitis: Preliminary Results. Investigative Ophthalmology & Visual Science. 56(7). 860–860.1 indexed citations
11.
Kothari, Srishti, Maxwell Pistilli, C. Stephen Foster, et al.. (2014). Risk of Elevated Intraocular Pressure (IOP) in Pediatric Non-infectious Uveitis. Investigative Ophthalmology & Visual Science. 55(13). 844–844.
12.
Daniel, Ebenezer, Maxwell Pistilli, H. Nida Sen, et al.. (2014). Incidence and Risk Factors for Ocular Hypertension in Adults with Non-infectious Uveitis. Investigative Ophthalmology & Visual Science. 55(13). 6031–6031.1 indexed citations
13.
Suhler, Eric B., Tracy R. Giles, Teresa L. Liesegang, et al.. (2013). A Phase I/II Dose-Ranging, Randomized Clinical Trial of Abatacept (Orencia) in the Treatment of Refractory Non-Infectious Uveitis: Preliminary Results. Investigative Ophthalmology & Visual Science. 54(15). 5190–5190.3 indexed citations
14.
Beardsley, Robert S., et al.. (2013). Optovue OCT as an Imaging Modality for Scleral Thickness. Investigative Ophthalmology & Visual Science. 54(15). 4868–4868.
Kopani, Kamden R., et al.. (2011). Intravitreal Triamcinolone Acetonide in the Treatment of Uveitic Cystoid Macular Edema: A Comparison of 1mg, 2mg and 4mg doses. Investigative Ophthalmology & Visual Science. 52(14). 4265–4265.1 indexed citations
17.
Butler, Nicholas J., Lyndell L. Lim, Tracy R. Giles, et al.. (2011). Rituximab In The Treatment Of Refractory Scleritis And Non-infectious Orbital Inflammation: 24 Week Outcomes From A Phase I/II Prospective, Randomized Study. Investigative Ophthalmology & Visual Science. 52(14). 4251–4251.1 indexed citations
18.
Mackensen, Friederike, Jing Xie, Chong Chyn Chua, et al.. (2009). In Vivo Laser Confocal Microscopy of Keratic Precipitates Is a Useful Tool in Differencing Specific Uveitis Diagnosis as Well As Active From Inactive Uveitis. Investigative Ophthalmology & Visual Science. 50(13). 1525–1525.1 indexed citations
19.
Suhler, Eric B., Justine R. Smith, Andreas K. Lauer, et al.. (2004). A Prospective Trial of Infliximab Therapy for Patients with Refractory Uveitis: Interim Analysis of Safety and Efficacy Outcomes. Investigative Ophthalmology & Visual Science. 45(13). 3370–3370.1 indexed citations
20.
Suhler, Eric B., et al.. (2003). A Prospective Trial of Infliximab Therapy for Patients with Refractory Uveitis: Preliminary Results. Investigative Ophthalmology & Visual Science. 44(13). 2011–2011.5 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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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.