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 cells are the principal conduits for rod–cone input to non-image-forming vision
2008652 citationsAli D. Güler, Jennifer L. Ecker et al.Natureprofile →
Melanopsin-Expressing Retinal Ganglion-Cell Photoreceptors: Cellular Diversity and Role in Pattern Vision
2010496 citationsJennifer L. Ecker, Kwoon Y. Wong et al.Neuronprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Jennifer L. Ecker
Since
Specialization
Citations
This map shows the geographic impact of Jennifer L. Ecker'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 Jennifer L. Ecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer L. Ecker more than expected).
Fields of papers citing papers by Jennifer L. Ecker
This network shows the impact of papers produced by Jennifer L. Ecker. 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 Jennifer L. Ecker. The network helps show where Jennifer L. Ecker may publish in the future.
Co-authorship network of co-authors of Jennifer L. Ecker
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer L. Ecker.
A scholar is included among the top collaborators of Jennifer L. Ecker 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 Jennifer L. Ecker. Jennifer L. Ecker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hattar, Samer, David S. McNeill, Jennifer L. Ecker, & Kylie S. Chew. (2012). Iprgcs Are Critical For The Proper Development Of The Circadian Clock. Investigative Ophthalmology & Visual Science. 53(14). 2723–2723.2 indexed citations
Ecker, Jennifer L., Kwoon Y. Wong, Nazia M. Alam, et al.. (2010). Melanopsin-Expressing Retinal Ganglion-Cell Photoreceptors: Cellular Diversity and Role in Pattern Vision. Neuron. 67(1). 49–60.496 indexed citations breakdown →
Hattar, Samer, Jennifer L. Ecker, Shih‐Kuo Chen, et al.. (2009). Functions and Target Innervations of Distinct Subtypes of Melanopsin Cells. Investigative Ophthalmology & Visual Science. 50(13). 5027–5027.2 indexed citations
10.
Wong, Kwoon Y., et al.. (2008). Multiple Morphological Types of Melanopsin Ganglion Cells with Distinct Light Responses and Axonal Targets. Investigative Ophthalmology & Visual Science. 49(13). 1518–1518.1 indexed citations
11.
Güler, Ali D., Jennifer L. Ecker, Gurprit S. Lall, et al.. (2008). Melanopsin cells are the principal conduits for rod–cone input to non-image-forming vision. Nature. 453(7191). 102–105.652 indexed citations breakdown →
12.
Ecker, Jennifer L., Ali D. Güler, Robert J. Lucas, & Samer Hattar. (2007). Genetic Ablation of Melanopsin-Containing Retinal Ganglion Cells Severely Attenuates Light-Dependent Physiological Functions. Investigative Ophthalmology & Visual Science. 48(13). 2989–2989.1 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.