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.
The impact of ocular blood flow in glaucoma
20021.3k citationsJosef Flammer, Selim Orgül et al.Progress in Retinal and Eye Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of N. Orzalesi'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 N. Orzalesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Orzalesi more than expected).
This network shows the impact of papers produced by N. Orzalesi. 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 N. Orzalesi. The network helps show where N. Orzalesi may publish in the future.
Co-authorship network of co-authors of N. Orzalesi
This figure shows the co-authorship network connecting the top 25 collaborators of N. Orzalesi.
A scholar is included among the top collaborators of N. Orzalesi 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 N. Orzalesi. N. Orzalesi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Romano, Simona, Paolo Fogagnolo, Luca Rossetti, et al.. (2008). Long-Term Perimetric Variability in Patients With Different Stages of Glaucoma. Investigative Ophthalmology & Visual Science. 49(13). 1088–1088.1 indexed citations
Alkabes, Micol, et al.. (2007). A Comparison of HRT II With the Rostock Cornea Module and CONFOSCAN 2 Confocal Microscopes. Investigative Ophthalmology & Visual Science. 48(13). 3880–3880.2 indexed citations
5.
Orzalesi, N. & Luca Rossetti. (2006). A Meta–Analysis of Randomized Clinical Trials Comparing the Efficacy and Safety of Latanoprost, Travoprost, and Bimatoprost in Reducing the Intraocular Pressure. Investigative Ophthalmology & Visual Science. 47(13). 423–423.1 indexed citations
Pierrottet, Chiara O., et al.. (2006). Safety of the IOL–Vip Intraocular Implant for Low Vision Due to Central Scotoma. Investigative Ophthalmology & Visual Science. 47(13). 319–319.1 indexed citations
Pierrottet, Chiara O., et al.. (2004). The IOL–Vip® Software: guidelines for IOL–Vip® implant.. Investigative Ophthalmology & Visual Science. 45(13). 2010–2010.2 indexed citations
10.
Pierrottet, Chiara O., et al.. (2003). Evaluation of the 3MAX Device for Night Vision in Retinitis Pigmentosa Patients. Investigative Ophthalmology & Visual Science. 44(13). 1281–1281.1 indexed citations
Flammer, Josef, Selim Orgül, Vital Paulino Costa, et al.. (2002). The impact of ocular blood flow in glaucoma. Progress in Retinal and Eye Research. 21(4). 359–393.1319 indexed citations breakdown →
Rozzo, Carla, Maurizio Fossarello, Grazia Galleri, et al.. (1998). A common beta ig-h3 gene mutation (delta f540) in a large cohort of Sardinian Reis Bücklers corneal dystrophy patients. Mutations in brief no. 180. Online.. PubMed. 12(3). 215–6.37 indexed citations
16.
Rozzo, Carla, Maurizio Fossarello, Grazia Galleri, et al.. (1998). A common big-h3 gene mutation (DF540) in a large cohort of Sardinian Reis-Bücklers’ corneal dystrophy patients. 3. 215–216.9 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.