Pablo Franco

775 total citations · 1 hit paper
7 papers, 514 citations indexed

About

Pablo Franco is a scholar working on Ophthalmology, Pulmonary and Respiratory Medicine and Rheumatology. According to data from OpenAlex, Pablo Franco has authored 7 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ophthalmology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Rheumatology. Recurrent topics in Pablo Franco's work include Ocular Diseases and Behçet’s Syndrome (5 papers), Retinal and Optic Conditions (2 papers) and Vasculitis and related conditions (2 papers). Pablo Franco is often cited by papers focused on Ocular Diseases and Behçet’s Syndrome (5 papers), Retinal and Optic Conditions (2 papers) and Vasculitis and related conditions (2 papers). Pablo Franco collaborates with scholars based in United States, United Kingdom and Germany. Pablo Franco's co-authors include Quan Dong Nguyen, Glenn J. Jaffe, David K. Scales, Andrew D. Dick, Samir Tari, Alexandra Song, Martina Kron, Jennifer E. Thorne, Talin Barisani‐Asenbauer and Antoine P. Brézin and has published in prestigious journals such as New England Journal of Medicine, Ophthalmology and Annals of the Rheumatic Diseases.

In The Last Decade

Pablo Franco

6 papers receiving 504 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.

Adalimumab in Patients with Active Noninfectious Uveitis

2016 418 citations Glenn J. Jaffe, Andrew D. Dick et al. New England Journal of Medicine profile →

Peers

Pablo Franco

OPHTH

RHEUM

PRM

PHYSI

EPIDE

Nisha V. Kwatra United States

Miguel Pedroza-Seres United States

Susan Lightman United Kingdom

Nicole Stuebiger Germany

Ida Orlando Italy

Manuel Santos Lacomba Spain

Rubbia Afridi United States

G. Gendron France

Priyanka Doctor United States

Lazha Talat United Kingdom

Nisha V. Kwatra United States

Pablo Franco

683 ×1.5

OPHTH

312 ×1.6

RHEUM

147 ×1.5

PRM

86 ×1.4

PHYSI

84 ×1.8

EPIDE

Citations per year, relative to Pablo Franco Pablo Franco (= 1×) peers Nisha V. Kwatra

Countries citing papers authored by Pablo Franco

Since Specialization

Citations

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

Fields of papers citing papers by Pablo Franco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Franco

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Franco, Pablo, et al.. (2021). Analysis of visual disability in Buenos Aires, Argentina. Pathologic myopia is the leading cause in working age.. PubMed. 81(5). 735–741. 2 indexed citations

2.

Merrill, Pauline T., W. Lloyd Clark, Alay Banker, et al.. (2020). Efficacy and Safety of Intravitreal Sirolimus for Noninfectious Uveitis of the Posterior Segment. Ophthalmology. 127(10). 1405–1415. 26 indexed citations

3.

Nguyen, Quan Dong, Pauline T. Merrill, W. Lloyd Clark, et al.. (2016). Intravitreal Sirolimus for Noninfectious Uveitis: A Phase III Sirolimus Study Assessing Double-masKed Uveitis TReAtment (SAKURA). Ophthalmology. 123(11). 2413–2423. 58 indexed citations

4.

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 →

5.

Calster, Joachim Van, David K. Scales, Pablo Franco, et al.. (2015). Adalimumab in Patients with Active, Noninfectious Uveitis Using High-Dose Corticosteroids. UCL Discovery (University College London).

6.

Jaffe, Glenn J., Jennifer E. Thorne, David K. Scales, et al.. (2015). Adalimumab in Patients With Active, Non-infectious Uveitis Requiring High-dose Corticosteroids: the VISUAL-1 Trial. Investigative Ophthalmology & Visual Science. 56(7). 3115–3115. 4 indexed citations

7.

Jaffe, Glenn J., Jennifer E. Thorne, David K. Scales, et al.. (2015). SAT0523 Adalimumab in Patients with Active, Non-Infectious Uveitis Requiring High-Dose Corticosteroids: the Visual-1 Trial. Annals of the Rheumatic Diseases. 74. 849–850. 6 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.

Explore authors with similar magnitude of impact