Countries citing papers authored by Shlomit Schaal
Since
Specialization
Citations
This map shows the geographic impact of Shlomit Schaal'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 Shlomit Schaal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shlomit Schaal more than expected).
This network shows the impact of papers produced by Shlomit Schaal. 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 Shlomit Schaal. The network helps show where Shlomit Schaal may publish in the future.
Co-authorship network of co-authors of Shlomit Schaal
This figure shows the co-authorship network connecting the top 25 collaborators of Shlomit Schaal.
A scholar is included among the top collaborators of Shlomit Schaal 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 Shlomit Schaal. Shlomit Schaal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
helmy, omar, et al.. (2019). Detection of early retinal vascular structural changes of Pre-eclamptic patients using Optical Coherence tomography Angiography. Investigative Ophthalmology & Visual Science. 60(9). 4575–4575.1 indexed citations
3.
helmy, omar, et al.. (2019). Analysis of a Scribe’s Impact in an Academic Ophthalmology Clinic. Investigative Ophthalmology & Visual Science. 60(9). 5508–5508.2 indexed citations
Schaal, Shlomit, Marwa Ismail, Ahmed ElTanboly, et al.. (2016). Subtle Early Changes in Diabetic Retinas Revealed by a Novel Method that Automatically Quantifies Spectral Domain Optical Coherence Tomography (SD-OCT) Images. Investigative Ophthalmology & Visual Science. 57(12). 6324–6324.1 indexed citations
9.
Neyer, Thomas, Ahmed ElTanboly, Marwa Ismail, et al.. (2016). A Novel Automated Method for the Objective Quantification of Retinal Layers Based on Spectral Domain Optical Coherence Tomography (SD-OCT) Imaging Reveals Sequential Changes in the Normal Retina with Age. Investigative Ophthalmology & Visual Science. 57(12). 5943–5943.1 indexed citations
Özkök, Ahmet, et al.. (2015). A comparison of early and delayed vitrectomy for management of vitreous hemorrhage due to proliferative diabetic retinopathy. Investigative Ophthalmology & Visual Science. 56(7). 5117–5117.1 indexed citations
12.
Sherman, Mark, et al.. (2015). Treatment of obstructive sleep apnea with continuous positive airway pressure therapy improves functional and anatomical outcomes in exudative age related macular degeneration. Investigative Ophthalmology & Visual Science. 56(7). 3153–3153.1 indexed citations
Schaal, Shlomit, et al.. (2008). Bruch's Membrane Proteome Reveals Specific Changes in Age-Related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science. 49(13). 1750–1750.1 indexed citations
18.
Geng, Lijun, et al.. (2008). Complement Factor H (CFH) Expression in Mammalian Retinal Pigment Epithelial Cells. Investigative Ophthalmology & Visual Science. 49(13). 206–206.2 indexed citations
19.
Geng, Lijun, et al.. (2007). Immunoglobulins Produced by Human Retinal Pigment Epithelial Cells (RPE) Can Recognize Bruch's Membrane Proteins. Investigative Ophthalmology & Visual Science. 48(13). 2538–2538.1 indexed citations
20.
Schaal, Shlomit, et al.. (1988). Teratoma orbitae im Neugeborenenalter. Klinische Monatsblätter für Augenheilkunde. 193(9). 295–300.2 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.