Benjamin Chaon

498 total citations
17 papers, 346 citations indexed

About

Benjamin Chaon is a scholar working on Ophthalmology, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Benjamin Chaon has authored 17 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ophthalmology, 4 papers in Rheumatology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Benjamin Chaon's work include Ocular Diseases and Behçet’s Syndrome (8 papers), Retinal and Optic Conditions (6 papers) and Systemic Lupus Erythematosus Research (3 papers). Benjamin Chaon is often cited by papers focused on Ocular Diseases and Behçet’s Syndrome (8 papers), Retinal and Optic Conditions (6 papers) and Systemic Lupus Erythematosus Research (3 papers). Benjamin Chaon collaborates with scholars based in United States, Chile and United Kingdom. Benjamin Chaon's co-authors include Michael S. Lee, Meghan Berkenstock, J.C. Cole, John M. Logsdon, Jessica R. Grant, Debashish Bhattacharya, David J. Patterson, Laura A. Katz, Hwan Su Yoon and Yonas I. Tekle and has published in prestigious journals such as The Journal of Immunology, American Journal of Ophthalmology and Investigative Ophthalmology & Visual Science.

In The Last Decade

Benjamin Chaon

17 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Chaon United States 7 118 108 76 66 43 17 346
Katarzyna Skonieczna Poland 12 131 1.1× 106 1.0× 27 0.4× 17 0.3× 9 0.2× 28 454
Matthew Miller United States 12 194 1.6× 82 0.8× 22 0.3× 17 0.3× 11 0.3× 17 486
Usha Kim India 16 156 1.3× 347 3.2× 38 0.5× 22 0.3× 3 0.1× 65 696
Alessia Ruggeri Italy 9 86 0.7× 17 0.2× 180 2.4× 18 0.3× 5 0.1× 22 384
Seamus McCarron United States 10 212 1.8× 25 0.2× 68 0.9× 12 0.2× 7 0.2× 11 469
Päivi Jokinen Finland 8 122 1.0× 11 0.1× 54 0.7× 8 0.1× 13 0.3× 11 356
Cindy Farman United States 11 118 1.0× 78 0.7× 68 0.9× 9 0.1× 3 0.1× 17 327
H Inoko Japan 14 206 1.7× 87 0.8× 257 3.4× 23 0.3× 5 0.1× 17 705
Jeffrey R. Abbott United States 10 136 1.2× 15 0.1× 41 0.5× 4 0.1× 23 0.5× 35 323
Simon Ma United States 5 56 0.5× 45 0.4× 23 0.3× 6 0.1× 26 0.6× 6 317

Countries citing papers authored by Benjamin Chaon

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Chaon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Chaon

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

All Works

17 of 17 papers shown
1.
Thorne, Jennifer E., et al.. (2024). Investigating the Accuracy and Completeness of an Artificial Intelligence Large Language Model About Uveitis: An Evaluation of ChatGPT. Ocular Immunology and Inflammation. 32(9). 2052–2055. 15 indexed citations
2.
Jabs, Douglas A., Jennifer E. Thorne, Meghan Berkenstock, et al.. (2023). TACROLIMUS FOR IMMUNOSUPPRESSION IN PATIENTS WITH NONINFECTIOUS INTERMEDIATE, POSTERIOR, OR PANUVEITIDES. Retina. 43(9). 1480–1486. 1 indexed citations
3.
Burkholder, Bryn M., et al.. (2022). Using the Electronic Medical Record to Increase Laboratory Test Monitoring in Ocular Inflammation Patients: A Quality Improvement Study. Quality Management in Health Care. 32(2). 112–116. 1 indexed citations
4.
Berkenstock, Meghan, et al.. (2021). Changes in patient visits and diagnoses in a large academic center during the COVID-19 pandemic. BMC Ophthalmology. 21(1). 139–139. 17 indexed citations
5.
Chaon, Benjamin, et al.. (2020). Neurosarcoidosis and Ocular Inflammation: A Case Series and Literature Review. Journal of Neuro-Ophthalmology. 41(2). e259–e266. 5 indexed citations
6.
Berkenstock, Meghan, et al.. (2020). Escalation to Weekly Adalimumab for the Treatment of Ocular Inflammation. Ocular Immunology and Inflammation. 29(7-8). 1564–1568. 23 indexed citations
7.
Chaon, Benjamin, et al.. (2020). Ocular Complications of Checkpoint Inhibitors and Immunotherapeutic Agents: A Case Series. Ocular Immunology and Inflammation. 29(7-8). 1585–1590. 16 indexed citations
8.
Berkenstock, Meghan, Tahreem A. Mir, Bryn M. Burkholder, et al.. (2020). Effectiveness of the Dexamethasone Implant in Lieu of Oral Corticosteroids in Intermediate and Posterior Uveitis Requiring Immunosuppression. Ocular Immunology and Inflammation. 30(3). 741–749. 5 indexed citations
9.
Strampe, Margaret R., et al.. (2019). Retinal Nerve Fibre Layer Thickness Increases with Decreasing Spectralis OCT Signal Strength in Normal Eyes. Neuro-Ophthalmology. 44(2). 100–103. 2 indexed citations
10.
Utriainen, Lotta, Jung Wha Lee, Zhiyu Li, et al.. (2018). Efficacy of IL-12/23 inhibition for the Treatment of Active Sight-Threatening Uveitis: A Pilot Study. Investigative Ophthalmology & Visual Science. 59(9). 5948–5948. 2 indexed citations
11.
Chaon, Benjamin, et al.. (2016). Comparison of Central and Peripheral Descemet’s Membrane Thickness in Human Donor Corneas.. Investigative Ophthalmology & Visual Science. 57(12). 5267–5267. 5 indexed citations
12.
Sohn, Elliott H., Benjamin Chaon, Douglas A. Jabs, & James C. Folk. (2015). Peripheral Cryoablation for Treatment of Active Pars Planitis: Long-Term Outcomes of a Retrospective Study. American Journal of Ophthalmology. 162. 35–42.e2. 6 indexed citations
13.
Chaon, Benjamin & Michael S. Lee. (2015). Is there treatment for traumatic optic neuropathy?. Current Opinion in Ophthalmology. 26(6). 445–449. 38 indexed citations
14.
Chaon, Benjamin, Reiko Horai, Jun Chen, et al.. (2012). The Role of Interleukin-17A in a Spontaneous Model of Autoimmune Uveitis Elicited by Retina-specific T Cells. Investigative Ophthalmology & Visual Science. 53(14). 6307–6307. 1 indexed citations
15.
Petrovas, Constantinos, Benjamin Chaon, David R. Ambrozak, et al.. (2009). Differential Association of Programmed Death-1 and CD57 with Ex Vivo Survival of CD8+ T Cells in HIV Infection. The Journal of Immunology. 183(2). 1120–1132. 91 indexed citations
16.
Chaon, Benjamin, et al.. (2008). A Checklist of the Mosquitoes of Indiana With Notes on the Cryptic Species Complexes Anopheles quadrimaculatus S.L. and Anopheles punctipennis. Journal of the American Mosquito Control Association. 24(3). 450–452. 3 indexed citations
17.
Yoon, Hwan Su, Jessica R. Grant, Yonas I. Tekle, et al.. (2008). Broadly sampled multigene trees of eukaryotes. BMC Evolutionary Biology. 8(1). 14–14. 115 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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