Daniel R. Saban

864 total citations
12 papers, 544 citations indexed

About

Daniel R. Saban is a scholar working on Neurology, Immunology and Ophthalmology. According to data from OpenAlex, Daniel R. Saban has authored 12 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 7 papers in Immunology and 5 papers in Ophthalmology. Recurrent topics in Daniel R. Saban's work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Immune cells in cancer (6 papers) and Retinal Diseases and Treatments (4 papers). Daniel R. Saban is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Immune cells in cancer (6 papers) and Retinal Diseases and Treatments (4 papers). Daniel R. Saban collaborates with scholars based in United States, Australia and France. Daniel R. Saban's co-authors include Emily G. O’Koren, Rose Mathew, Yu Chen, Samantha J. Dando, Paul G. McMenamin, Florian Sennlaub, Christophe Roubeix, Nancy Reyes, Benjamin E. Reese and Jeremy N. Kay and has published in prestigious journals such as Nature reviews. Immunology, Trends in Neurosciences and Scientific Reports.

In The Last Decade

Daniel R. Saban

12 papers receiving 541 citations

Peers

Daniel R. Saban

NEURO

OPHTH

IMMUN

RNMI

Chifuyu Nakazawa United States

Joshua A. Chu‐Tan Australia

Cristina Llombart Spain

Kimberly A. Toops United States

Fernando Lucas‐Ruiz Spain

Ioan M Cosma United States

J. García-Sánchez Spain

Deborah Villafranca‐Baughman Canada

Shunji Nakatake Japan

Alexandra Provost France

Chifuyu Nakazawa United States

Daniel R. Saban

188 ×0.6

NEURO

436 ×1.4

OPHTH

290 ×1.4

50 ×0.3

IMMUN

138 ×2.1

RNMI

Citations per year, relative to Daniel R. Saban Daniel R. Saban (= 1×) peers Chifuyu Nakazawa

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).

Fields of papers citing papers by Daniel R. Saban

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

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12 of 12 papers shown

Saban, Daniel R., et al.. (2024). Chemokine expression profile of an innate granuloma. eLife. 13. 1 indexed citations

Chen, Yu & Daniel R. Saban. (2023). Microglia Preserve Visual Function in a Mouse Model of Retinitis Pigmentosa with Rhodopsin-P23H Mutant. Advances in experimental medicine and biology. 1415. 421–425. 4 indexed citations

Chen, Yu, Christophe Roubeix, Florian Sennlaub, & Daniel R. Saban. (2020). Microglia versus Monocytes: Distinct Roles in Degenerative Diseases of the Retina. Trends in Neurosciences. 43(6). 433–449. 99 indexed citations

Wang, Jingjing, et al.. (2019). Large-scale death of retinal astrocytes during normal development is non-apoptotic and implemented by microglia. PLoS Biology. 17(10). e3000492–e3000492. 63 indexed citations

Chen, Yu & Daniel R. Saban. (2019). Identification of a Unique Subretinal Microglia Type in Retinal Degeneration Using Single Cell RNA-Seq. Advances in experimental medicine and biology. 1185. 181–186. 9 indexed citations

Reyes, Nancy, Rose Mathew, & Daniel R. Saban. (2018). Fate Mapping In Vivo to Distinguish Bona Fide Microglia Versus Recruited Monocyte-Derived Macrophages in Retinal Disease. Methods in molecular biology. 1834. 153–164. 8 indexed citations

McMenamin, Paul G., Daniel R. Saban, & Samantha J. Dando. (2018). Immune cells in the retina and choroid: Two different tissue environments that require different defenses and surveillance. Progress in Retinal and Eye Research. 70. 85–98. 85 indexed citations

Saban, Daniel R.. (2018). New concepts in macrophage ontogeny in the adult neural retina. Cellular Immunology. 330. 79–85. 16 indexed citations

Reyes, Nancy, Emily G. O’Koren, & Daniel R. Saban. (2017). New insights into mononuclear phagocyte biology from the visual system. Nature reviews. Immunology. 17(5). 322–332. 57 indexed citations

10.

Beli, Eleni, James M. Dominguez, Ping Hu, et al.. (2016). CX3CR1 deficiency accelerates the development of retinopathy in a rodent model of type 1 diabetes. Journal of Molecular Medicine. 94(11). 1255–1265. 38 indexed citations

11.

O’Koren, Emily G., Rose Mathew, & Daniel R. Saban. (2016). Fate mapping reveals that microglia and recruited monocyte-derived macrophages are definitively distinguishable by phenotype in the retina. Scientific Reports. 6(1). 20636–20636. 157 indexed citations

12.

Saban, Daniel R., Cuong Q. Nguyen, W. Clay Smith, et al.. (2008). Characterization of intraocular immunopathology following intracameral inoculation with alloantigen.. PubMed. 14. 615–24. 7 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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