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.
Chemistry and metabolism of lipids in the vertebrate retina
1983854 citationsSteven J. Fliesler, Robert E. Andersonprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Robert E. Anderson
Since
Specialization
Citations
This map shows the geographic impact of Robert E. Anderson'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 Robert E. Anderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Anderson more than expected).
Fields of papers citing papers by Robert E. Anderson
This network shows the impact of papers produced by Robert E. Anderson. 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 Robert E. Anderson. The network helps show where Robert E. Anderson may publish in the future.
Co-authorship network of co-authors of Robert E. Anderson
This figure shows the co-authorship network connecting the top 25 collaborators of Robert E. Anderson.
A scholar is included among the top collaborators of Robert E. Anderson 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 Robert E. Anderson. Robert E. Anderson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Agbaga, Martin‐Paul, Dana K. Merriman, Richard S. Brush, et al.. (2014). Differential Composition of Docosahexaenoic Acid and Very Long Chain Polyunsaturated Fatty Acids in Rod and Cone Photoreceptor Membranes. Investigative Ophthalmology & Visual Science. 55(13). 370–370.1 indexed citations
7.
Chen, Hui, et al.. (2012). Caffeic acid phenethyl ester protects 661W cells from H2O2-mediated cell death and enhances electroretinography response in dim-reared albino rats.. PubMed. 18. 1325–38.21 indexed citations
Barabás, Péter, Aihua Liu, Wei Xing, et al.. (2011). Conditional Ablation of Retinal Elovl4 Reveals a Key Role in Synthesis of VLC-PUFAs and Photoreceptor Light Responses. Investigative Ophthalmology & Visual Science. 52(14). 2361–2361.1 indexed citations
10.
Rotstein, Nora P., et al.. (2011). Activation Of Antioxidant Defense Mechanisms By Docosahexaenoic Acid And Eicosapentaenoic Acid Prevents Apoptosis Of Retina Photoreceptors. Investigative Ophthalmology & Visual Science. 52(14). 5453–5453.2 indexed citations
Zheng, Lixin, et al.. (2006). Loss of Bcl–XL Causes Increased Rod Photoreceptor Susceptibility to Bright Light Damage. Investigative Ophthalmology & Visual Science. 47(13). 2044–2044.1 indexed citations
14.
Martin, Rex E., et al.. (2005). Lipid differences in rod outer segment membranes of rats with P23H and S334ter opsin mutations.. PubMed. 11. 338–46.9 indexed citations
Cao, Wei, et al.. (2003). In vivo Protection of Photoreceptors from Light Damage in Rat by 17 ß-estradiol. Investigative Ophthalmology & Visual Science. 44(13). 5123–5123.1 indexed citations
Anderson, Robert E., Maureen B. Maude, & Gerald L. Feldman. (1969). Lipids of ocular tissues. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 187(3). 345–353.73 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.