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.
Drusen proteome analysis: An approach to the etiology of age-related macular degeneration
2002970 citationsJohn W. Crabb, Xiaorong Gu et al.profile →
Countries citing papers authored by Mary E. Rayborn
Since
Specialization
Citations
This map shows the geographic impact of Mary E. Rayborn'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 Mary E. Rayborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary E. Rayborn more than expected).
This network shows the impact of papers produced by Mary E. Rayborn. 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 Mary E. Rayborn. The network helps show where Mary E. Rayborn may publish in the future.
Co-authorship network of co-authors of Mary E. Rayborn
This figure shows the co-authorship network connecting the top 25 collaborators of Mary E. Rayborn.
A scholar is included among the top collaborators of Mary E. Rayborn 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 Mary E. Rayborn. Mary E. Rayborn is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Bonilha, Vera L., K.G. Shadrach, & Mary E. Rayborn. (2014). Levels of DJ-1 Perturb Mitochondrial Structure in the Retinal Pigment Epithelium (RPE).. Investigative Ophthalmology & Visual Science. 55(13). 4562–4562.1 indexed citations
Rayborn, Mary E., Vera L. Bonilha, Gerald A. Fishman, & Joe G. Hollyfield. (2008). Photoreceptor Analysis in the Retina of a Donor With Goldmann-Favre Syndrome. Investigative Ophthalmology & Visual Science. 49(13). 2996–2996.1 indexed citations
Hollyfield, Joe G., Mary E. Rayborn, Xiaoping Yang, et al.. (2007). Identification of an Inflammatory Signal From the Outer Retina Causing Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 48(13). 2356–2356.1 indexed citations
9.
Renganathan, Kutralanathan, Małgorzata Różanowska, Mary E. Rayborn, et al.. (2007). Does Lipofuscin Contain Protein? Amino Acid, Protein and Ultrastructural Analysis of Human Lipofuscin. Investigative Ophthalmology & Visual Science. 48(13). 5059–5059.2 indexed citations
Gugiu, Bogdan G., Małgorzata Różanowska, Bartosz Różanowski, et al.. (2005). Proteomic and Ultrastructural Analyses of Human Lipofuscin. Investigative Ophthalmology & Visual Science. 46(13). 1739–1739.1 indexed citations
13.
Rayborn, Mary E., Joe G. Hollyfield, & Vera L. Bonilha. (2005). Age–Related Changes in the Retinal Pigment Epithelium Apical Surface. Investigative Ophthalmology & Visual Science. 46(13). 3049–3049.2 indexed citations
Hollyfield, Joe G., Steven J. Fliesler, Mary E. Rayborn, et al.. (1985). Synthesis and secretion of interstitial retinol-binding protein by the human retina.. PubMed. 26(1). 58–67.73 indexed citations
Hollyfield, Joe G. & Mary E. Rayborn. (1979). Photoreceptor outer segment development: light and dark regulate the rate of membrane addition and loss.. PubMed. 18(2). 117–32.44 indexed citations
Smelser, George K., et al.. (1973). The fine structure of the retinal transient layer of Chievitz.. PubMed. 12(7). 504–12.18 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.