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.
Phototransduction by Retinal Ganglion Cells That Set the Circadian Clock
20022.6k citationsDavid M. Berson, Motoharu Takao et al.Scienceprofile →
Melanopsin-Containing Retinal Ganglion Cells: Architecture, Projections, and Intrinsic Photosensitivity
20022.0k citationsSamer Hattar, Motoharu Takao et al.Scienceprofile →
Measuring and using light in the melanopsin age
2013898 citationsRobert J. Lucas, David M. Berson et al.profile →
Central projections of melanopsin‐expressing retinal ganglion cells in the mouse
2006752 citationsSamer Hattar, Patrick Tong et al.The Journal of Comparative Neurologyprofile →
Melanopsin cells are the principal conduits for rod–cone input to non-image-forming vision
2008652 citationsJennifer L. Ecker, Haiqing Zhao et al.profile →
Diminished Pupillary Light Reflex at High Irradiances in Melanopsin-Knockout Mice
2003643 citationsRobert J. Lucas, Samer Hattar et al.Scienceprofile →
Melanopsin-Expressing Retinal Ganglion-Cell Photoreceptors: Cellular Diversity and Role in Pattern Vision
2010496 citationsJennifer L. Ecker, Kwoon Y. Wong et al.profile →
Light Affects Mood and Learning through Distinct Retina-Brain Pathways
2018338 citationsDiego C. Fernandez, Michael B Thomsen et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by David M. Berson
Since
Specialization
Citations
This map shows the geographic impact of David M. Berson'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 David M. Berson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Berson more than expected).
This network shows the impact of papers produced by David M. Berson. 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 David M. Berson. The network helps show where David M. Berson may publish in the future.
Co-authorship network of co-authors of David M. Berson
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Berson.
A scholar is included among the top collaborators of David M. Berson 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 David M. Berson. David M. Berson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sabbah, Shai, et al.. (2016). Connectomics of irradiance-encoding ON bipolar-cell inputs to ipRGCs. Investigative Ophthalmology & Visual Science. 57(12).1 indexed citations
7.
Sabbah, Shai, et al.. (2015). ON-DS retinal ganglion cells encode global motion in vestibular coordinates. Investigative Ophthalmology & Visual Science. 56(7). 5868–5868.1 indexed citations
8.
Estevez, Maureen E., Lauren E. Quattrochi, Onkar S. Dhande, et al.. (2013). Form and function of the three ON-type direction-selective retinal ganglion cells in the Hoxd10 mouse. Investigative Ophthalmology & Visual Science. 54(15). 1298–1298.2 indexed citations
9.
Renna, Jordan M., Shi-Jun Weng, & David M. Berson. (2010). Bidirectional Interactions Between Ganglion-Cell Photoreceptors and Retinal Waves. Investigative Ophthalmology & Visual Science. 51(13). 663–663.1 indexed citations
10.
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
11.
Pucci, Francesco G., et al.. (2009). ON Bipolar Cell Output to the OFF Sublamina of the Inner Plexiform Layer: Contacts With Melanopsin Ganglion Cells and Dopaminergic Amacrine Cells. Investigative Ophthalmology & Visual Science. 50(13). 5031–5031.1 indexed citations
12.
Weng, Shi-Jun & David M. Berson. (2009). Ganglion-Cell Photoreceptors Are Driven by the Most Sensitive Rod Pathway and by Cones. Investigative Ophthalmology & Visual Science. 50(13). 2556–2556.2 indexed citations
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
15.
Berson, David M., et al.. (2007). Melanopsin Bistability in Ganglion-Cell Photoreceptors. Investigative Ophthalmology & Visual Science. 48(13). 612–612.2 indexed citations
16.
Hattar, Samer, et al.. (2004). Diverse Brain Targets of Melanopsin–Expressing Retinal Ganglion Cells. Investigative Ophthalmology & Visual Science. 45(13). 660–660.1 indexed citations
17.
Lucas, Robert J., Samer Hattar, Motoharu Takao, et al.. (2003). Diminished Pupillary Light Reflex at High Irradiances in Melanopsin-Knockout Mice. Science. 299(5604). 245–247.643 indexed citations breakdown →
18.
Hattar, Samer, Robert J. Lucas, Motoharu Takao, et al.. (2003). Diminished Pupillary Light Reflex at High Irradiances in Melanopsin-Knockout Mice. Investigative Ophthalmology & Visual Science. 44(13). 3232–3232.3 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.