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.
Microglial Function Is Distinct in Different Anatomical Locations during Retinal Homeostasis and Degeneration
2019281 citationsYu Chen, Rose Mathew et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Daniel R. Saban
Since
Specialization
Citations
This map shows the geographic impact of Daniel R. Saban'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 Daniel R. Saban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Saban more than expected).
This network shows the impact of papers produced by Daniel R. Saban. 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 Daniel R. Saban. The network helps show where Daniel R. Saban may publish in the future.
Co-authorship network of co-authors of Daniel R. Saban
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Saban.
A scholar is included among the top collaborators of Daniel R. Saban 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 Daniel R. Saban. Daniel R. Saban is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Yu, et al.. (2021). Single Cell RNA-Sequencing Points to an Inter-relationship between Corneal Macrophages and Dendritic Cells. Investigative Ophthalmology & Visual Science. 62(8). 923–923.1 indexed citations
Smith, Rachel, Nancy Reyes, & Daniel R. Saban. (2016). Allergic eye disease (AED) progression in the mouse model is associated with quantitative changes in conjunctival innate lymphoid populations.. Investigative Ophthalmology & Visual Science. 57(12). 311–311.1 indexed citations
11.
Reyes, Nancy, Tomás Blanco, Rose Mathew, & Daniel R. Saban. (2014). Novel Mouse Model of Severe Ocular Allergy Reveals a Key Role for Pathogenic Th17 Cells. Investigative Ophthalmology & Visual Science. 55(13). 4058–4058.3 indexed citations
12.
Mathew, Rose, et al.. (2013). CCR7 Expression Profiles in Conjunctival Biopsies from Seasonal Allergic Conjunctivtis Patients Following Challenge. Investigative Ophthalmology & Visual Science. 54(15). 2549–2549.1 indexed citations
Hua, Jing, William Stevenson, Thomas H. Dohlman, et al.. (2013). The CCR7-CCL19/CCL21 Axis Mediates Enhanced Antigen-Presenting Cell Trafficking In High-Risk Corneal Transplantation. Investigative Ophthalmology & Visual Science. 54(15). 1289–1289.3 indexed citations
15.
Saban, Daniel R., et al.. (2012). Deletion of Thrombospondin (TSP)-1 in Dendritic Cells (DC) of the Conjunctiva Exacerbates Allergic Conjunctivitis (AC). Investigative Ophthalmology & Visual Science. 53(14). 1241–1241.3 indexed citations
16.
Hua, Jing, William Stevenson, Thomas H. Dohlman, et al.. (2012). Dysfunctional Regulatory T cells in Dry Eye Disease Exacerbate Corneal Allograft Rejection. Investigative Ophthalmology & Visual Science. 53(14). 4127–4127.4 indexed citations
Sadrai, Zahra, Amir Reza Hajrasouliha, Sunil K. Chauhan, Daniel R. Saban, & Reza Dana. (2010). Anti-Inflammatory Activity of Topical Azithromycin Ophthalmic Solution 1% in the Treatment of Ocular Inflammation. Investigative Ophthalmology & Visual Science. 51(13). 3789–3789.1 indexed citations
19.
Sadrai, Zahra, Amir Reza Hajrasouliha, Sunil K. Chauhan, et al.. (2009). Effect of Topical Azithromycin on Innate Immune Responses in Experimental Keratitis. Investigative Ophthalmology & Visual Science. 50(13). 5536–5536.1 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.