Jorge Ruiz‐Medrano

1.8k total citations · 1 hit paper
55 papers, 1.0k citations indexed

About

Jorge Ruiz‐Medrano is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Jorge Ruiz‐Medrano has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Ophthalmology, 44 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Epidemiology. Recurrent topics in Jorge Ruiz‐Medrano's work include Retinal Diseases and Treatments (40 papers), Glaucoma and retinal disorders (33 papers) and Retinal Imaging and Analysis (29 papers). Jorge Ruiz‐Medrano is often cited by papers focused on Retinal Diseases and Treatments (40 papers), Glaucoma and retinal disorders (33 papers) and Retinal Imaging and Analysis (29 papers). Jorge Ruiz‐Medrano collaborates with scholars based in Spain, United States and Switzerland. Jorge Ruiz‐Medrano's co-authors include José M. Ruiz‐Moreno, Ignacio Flores‐Moreno, Javier A. Montero, Luís Arias, Alfredo García‐Layana, Pablo Peña‐García, Jay S. Duker, Francisco Lugo, Masahiro Akïba and Jay Chhablani and has published in prestigious journals such as PLoS ONE, American Journal of Ophthalmology and Progress in Retinal and Eye Research.

In The Last Decade

Jorge Ruiz‐Medrano

51 papers receiving 988 citations

Hit Papers

Myopic maculopathy: Current status and proposal for a new... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Ruiz‐Medrano Spain 16 912 765 254 52 43 55 1.0k
R Krishnadas India 12 791 0.9× 523 0.7× 156 0.6× 59 1.1× 75 1.7× 25 842
Yukinori Sugano Japan 16 1.5k 1.7× 992 1.3× 76 0.3× 91 1.8× 37 0.9× 40 1.6k
Soo Geun Joe South Korea 22 1.2k 1.3× 815 1.1× 69 0.3× 144 2.8× 33 0.8× 40 1.3k
Gennaro Falconio Italy 15 476 0.5× 389 0.5× 180 0.7× 43 0.8× 61 1.4× 23 568
Katrin Petermeier Germany 17 661 0.7× 443 0.6× 257 1.0× 35 0.7× 28 0.7× 20 727
Xiangjia Zhu China 16 612 0.7× 559 0.7× 526 2.1× 52 1.0× 66 1.5× 66 781
Ricardo Noguera Louzada Brazil 16 1.2k 1.3× 1.1k 1.5× 137 0.5× 65 1.3× 131 3.0× 57 1.3k
Romesh I. Angunawela United Kingdom 16 560 0.6× 667 0.9× 154 0.6× 30 0.6× 245 5.7× 47 878
Elie Motulsky Belgium 16 887 1.0× 731 1.0× 80 0.3× 82 1.6× 26 0.6× 30 995
Mansour Rahimi Iran 12 564 0.6× 359 0.5× 122 0.5× 26 0.5× 10 0.2× 19 605

Countries citing papers authored by Jorge Ruiz‐Medrano

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Ruiz‐Medrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Ruiz‐Medrano. 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 Jorge Ruiz‐Medrano. The network helps show where Jorge Ruiz‐Medrano may publish in the future.

Co-authorship network of co-authors of Jorge Ruiz‐Medrano

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Ruiz‐Medrano. A scholar is included among the top collaborators of Jorge Ruiz‐Medrano 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 Jorge Ruiz‐Medrano. Jorge Ruiz‐Medrano 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.
Ruiz‐Medrano, Jorge, M. Asencio Durán, José Ignacio Fernández‐Vigo, et al.. (2025). Biomarkers of risk of switching to dexamethasone implant for the treatment of diabetic macular oedema in real clinical practice: a multicentric study. British Journal of Ophthalmology. 109(10). 1155–1160. 1 indexed citations
2.
Wong, David T., et al.. (2025). Improving Clinic Capacity with Faricimab.
3.
Delaunay, Kimberley, Émilie Picard, Laurent Jonet, et al.. (2025). LRP2 is a potential molecular target for nonsyndromic pathological myopia. JCI Insight. 10(15).
4.
Flores‐Moreno, Ignacio, et al.. (2024). Myopic Maculopathy Progression: Insights Into Posterior Staphyloma and Macular Involvement. American Journal of Ophthalmology. 270. 164–171. 1 indexed citations
6.
Ruiz‐Medrano, Jorge, et al.. (2024). The Importance of the Type of Posterior Staphyloma in the Development of Myopic Maculopathy. Diagnostics. 14(15). 1581–1581. 3 indexed citations
7.
Ruiz‐Moreno, José M., et al.. (2023). Retinal phototoxicity after macular hole surgery in a patient under paclitaxel. BMC Ophthalmology. 23(1). 342–342. 1 indexed citations
8.
Ruiz‐Moreno, José M., et al.. (2023). Posterior Staphyloma as Determining Factor for Myopic Maculopathy. American Journal of Ophthalmology. 252. 9–16. 11 indexed citations
9.
Ruiz‐Moreno, José M., et al.. (2023). Analysis of Bilaterality and Symmetry of Posterior Staphyloma in High Myopia. Diagnostics. 13(16). 2680–2680. 2 indexed citations
10.
Flores‐Moreno, Ignacio, et al.. (2023). Atrophic, Tractional, and Neovascular Grading System in a Dome-Shaped Macula and Ridge-Shaped Macula Highly Myopic Cohort. Ophthalmologica. 246(2). 107–112. 7 indexed citations
11.
Ruiz‐Moreno, José M. & Jorge Ruiz‐Medrano. (2022). Early-switch versus late-switch in patients with diabetic macular edema: a cost-effectiveness study. Graefe s Archive for Clinical and Experimental Ophthalmology. 261(4). 941–949. 9 indexed citations
12.
Flores‐Moreno, Ignacio, et al.. (2021). Pathologic myopia and severe pathologic myopia: correlation with axial length. Graefe s Archive for Clinical and Experimental Ophthalmology. 260(1). 133–140. 13 indexed citations
13.
Ruiz‐Medrano, Jorge, et al.. (2021). Impact of ocular dominance on circumpapillary and macular retinal nerve fibre layer thickness and ganglion cell layer thickness in a healthy pediatric population. Canadian Journal of Ophthalmology. 57(3). 201–206. 4 indexed citations
14.
Ruiz‐Moreno, José M., et al.. (2021). Evolution of Macular Bruch Membrane Defects of Patchy Chorioretinal Atrophy in Pathologic Myopia Based on a Recent Classification System. Ophthalmologica. 244(4). 309–314. 4 indexed citations
16.
Ruiz‐Medrano, Jorge, et al.. (2021). Retinal imaging study diagnoses in COVID-19: a case report. Journal of Medical Case Reports. 15(1). 15–15. 18 indexed citations
17.
Ruiz‐Moreno, José M., et al.. (2020). Automatic Quantification Software for Geographic Atrophy Associated with Age-Related Macular Degeneration: A Validation Study. Journal of Ophthalmology. 2020. 1–7. 3 indexed citations
18.
Faes, Livia, Amir Rosenblatt, Roy Schwartz, et al.. (2020). Overcoming barriers of retinal care delivery during a pandemic—attitudes and drivers for the implementation of digital health: a global expert survey. British Journal of Ophthalmology. 105(12). 1738–1743. 18 indexed citations
19.
Ruiz‐Medrano, Jorge, et al.. (2017). Systemic Effects of Repeated Intraocular Dexamethasone Intravitreal Implant in Diabetic Patients: A Retrospective Study. Diabetes Therapy. 8(5). 1087–1096. 4 indexed citations
20.
Arriola‐Villalobos, Pedro, et al.. (2013). Effect of Pharmacologic Pupil Dilation on OLCR Optical Biometry Measurements for IOL Predictions. European Journal of Ophthalmology. 24(1). 53–57. 22 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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