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.
Countries citing papers authored by John S. Werner
Since
Specialization
Citations
This map shows the geographic impact of John S. Werner'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 John S. Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Werner more than expected).
This network shows the impact of papers produced by John S. Werner. 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 John S. Werner. The network helps show where John S. Werner may publish in the future.
Co-authorship network of co-authors of John S. Werner
This figure shows the co-authorship network connecting the top 25 collaborators of John S. Werner.
A scholar is included among the top collaborators of John S. Werner 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 John S. Werner. John S. Werner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Li, Jennifer, Michael Chen, Raju Poddar, et al.. (2013). High-Resolution Anterior Segment Optical Coherence Tomography and in vivo Confocal Microscopy in the Evaluation of Corneal Dystrophies. Investigative Ophthalmology & Visual Science. 54(15). 562–562.
11.
Panorgias, Athanasios, Robert J. Zawadzki, Arlie G. Capps, et al.. (2012). Multimodal Functional And Structural Assessment Of Geographic Atrophy. Investigative Ophthalmology & Visual Science. 53(14). 6533–6533.
12.
Pilli, Suman, et al.. (2010). Correlation Between Macular Pigment Optical Density and Foveal Volume: Effect of Ethnicity and Age. Investigative Ophthalmology & Visual Science. 51(13). 304–304.1 indexed citations
Werner, John S., Baingio Pinna, & Lothar Spillmann. (2007). Illusory color and the brain. Scientific American. 296(3). 90–95.2 indexed citations
15.
Zawadzki, Robert J., et al.. (2007). In vivo Imaging of Inner Retinal Layers Using Adaptive Optics - Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 48(13). 1140–1140.1 indexed citations
16.
Zawadzki, Robert J., Steven M. Jones, Nathan Doble, et al.. (2006). In vivo High–Resolution Imaging of Retinal Dystrophy With Different Adaptive Optics Imaging Modalities. Investigative Ophthalmology & Visual Science. 47(13). 5660–5660.1 indexed citations
17.
Olivier, Scot S., Steven M. Jones, Diana C. Chen, et al.. (2006). OCT sees the human retina sharply with adaptive optics. eScholarship (California Digital Library). 42(2). 89–93.4 indexed citations
18.
Zawadzki, Robert J., Sophie Laut, Mingtao Zhao, et al.. (2005). Retinal Imaging With Adaptive Optics High Speed and High Resolution Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 46(13). 1053–1053.1 indexed citations
19.
Bieber, Michelle L., et al.. (1997). Comparison of genetic and phenotypic markers of color vision in infants and adults. Investigative Ophthalmology & Visual Science. 38(4).1 indexed citations
20.
Werner, John S., et al.. (1984). Aging and human macular pigment density (A). 1. 1321.4 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.