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.
Melanopsin-expressing ganglion cells in primate retina signal colour and irradiance and project to the LGN
2005991 citationsDennis M. Dacey, Hsi‐Wen Liao et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Beth B. Peterson
Since
Specialization
Citations
This map shows the geographic impact of Beth B. Peterson'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 Beth B. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth B. Peterson more than expected).
Fields of papers citing papers by Beth B. Peterson
This network shows the impact of papers produced by Beth B. Peterson. 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 Beth B. Peterson. The network helps show where Beth B. Peterson may publish in the future.
Co-authorship network of co-authors of Beth B. Peterson
This figure shows the co-authorship network connecting the top 25 collaborators of Beth B. Peterson.
A scholar is included among the top collaborators of Beth B. Peterson 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 Beth B. Peterson. Beth B. Peterson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dacey, Dennis M., et al.. (2010). Morphology, Mosaics and Targets of Diverse Ganglion Cell Populations in Macaque Monkey Retina: Approaching a Complete Account. Investigative Ophthalmology & Visual Science. 51(13). 889–889.3 indexed citations
Crook, Joanna D., Christopher M. Davenport, Beth B. Peterson, et al.. (2009). Spatially Coextensive Receptive Field Structure of Blue-Yellow Ganglion Cells in Primate Retina Established by Parallel ON and OFF Cone Bipolar Inputs. Investigative Ophthalmology & Visual Science. 50(13). 3474–3474.1 indexed citations
Dacey, Dennis M., Beth B. Peterson, H.–W. Liao, & King‐Wai Yau. (2006). Two Types of Melanopsin–Containing Ganglion Cells in the Primate Retina: Links to Dopaminergic Amacrine and DB6 Cone Bipolar Cells. Investigative Ophthalmology & Visual Science. 47(13). 3111–3111.6 indexed citations
12.
Dacey, Dennis M., Hsi‐Wen Liao, Beth B. Peterson, et al.. (2005). Melanopsin-expressing ganglion cells in primate retina signal colour and irradiance and project to the LGN. Nature. 433(7027). 749–754.991 indexed citations breakdown →
Dacey, Dennis M., Beth B. Peterson, Farrel R. Robinson, & Paul D. Gamlin. (2003). Fireworks in the Primate Retina. Neuron. 37(1). 15–27.231 indexed citations
15.
Peterson, Beth B., H.–W. Liao, Dennis M. Dacey, et al.. (2003). Functional Architecture of the Photoreceptive Ganglion Cell in Primate Retina: Morphology, Mosaic Organization and Central Targets of Melanopsin Immunostained Cells. 44(13). 5182–5182.7 indexed citations
16.
Dacey, Dennis M., Paul D. Gamlin, Vivianne C. Smith, et al.. (2003). Functional Architecture of the Photoreceptive Ganglion Cell in Primate Retina: Intrinsic Photosensitivity, S-cone Spectral Opponency and Irradiance Coding. 44(13). 3231–3231.3 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.