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.
Mapping striate and extrastriate visual areas in human cerebral cortex.
This map shows the geographic impact of Jay Neitz'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 Jay Neitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Neitz more than expected).
This network shows the impact of papers produced by Jay Neitz. 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 Jay Neitz. The network helps show where Jay Neitz may publish in the future.
Co-authorship network of co-authors of Jay Neitz
This figure shows the co-authorship network connecting the top 25 collaborators of Jay Neitz.
A scholar is included among the top collaborators of Jay Neitz 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 Jay Neitz. Jay Neitz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kuchenbecker, James A., et al.. (2021). Explaining the Absence of Functional Tetrachromacy in Females with Four Cone Types. Investigative Ophthalmology & Visual Science. 62(8). 527–527.1 indexed citations
Patterson, Emily J, et al.. (2019). Examining color discrimination of anomalous trichromats using the Colour Assessment and Diagnosis test and the Rayleigh anomaloscope. Investigative Ophthalmology & Visual Science. 60(9). 1310–1310.1 indexed citations
Kuchenbecker, James A., Sara S. Patterson, Michael B. Manookin, et al.. (2016). An ex vivo electroretinogram to study spectral mechanisms and cone pathways in the retina. Investigative Ophthalmology & Visual Science. 57(12).2 indexed citations
8.
Schmidt, Brian P., Ramkumar Sabesan, William S. Tuten, Jay Neitz, & Austin Roorda. (2015). Studying the neural circuitry of blue with single cone stimulation. Investigative Ophthalmology & Visual Science. 56(7). 4014–4014.1 indexed citations
9.
Carroll, Joseph, Drew Scoles, Christopher S. Langlo, et al.. (2014). Imaging Cone Structure in Patients with OPN1LW and OPN1MW Mutations. Investigative Ophthalmology & Visual Science. 55(13). 4542–4542.2 indexed citations
10.
Kuchenbecker, James A., Jay Neitz, & Maureen Neitz. (2014). Ethnic variation in the ratio of long- to middle-wavelength sensitive cones. Investigative Ophthalmology & Visual Science. 55(13). 4539–4539.3 indexed citations
11.
Yamauchi, Yasuki, Keisuke Yatsu, James A. Kuchenbecker, Maureen Neitz, & Jay Neitz. (2013). L:M Cone Ratio of Japanese Derived with ERG Flicker Photometry Method. Investigative Ophthalmology & Visual Science. 54(15). 6119–6119.3 indexed citations
12.
Puller, Christian, Michael B. Manookin, Maureen Neitz, & Jay Neitz. (2012). Syntaxin-4 Is Highly Enriched Beneath S-cone Pedicles In The Primate Retina. Investigative Ophthalmology & Visual Science. 53(14). 6323–6323.3 indexed citations
13.
Kuchenbecker, James A., Maureen Neitz, Thomas B. Connor, et al.. (2009). Short- and Middle-wavelength Sensitive Cone Interactions via Horizontal Cells Examined in Primates Using the Electroretinogram. Investigative Ophthalmology & Visual Science. 50(13). 3472–3472.1 indexed citations
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
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.