J.B. Reppas

6.1k total citations · 3 hit papers
7 papers, 4.7k citations indexed

About

J.B. Reppas is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, J.B. Reppas has authored 7 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 2 papers in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in J.B. Reppas's work include Visual perception and processing mechanisms (5 papers), Neural dynamics and brain function (3 papers) and Functional Brain Connectivity Studies (2 papers). J.B. Reppas is often cited by papers focused on Visual perception and processing mechanisms (5 papers), Neural dynamics and brain function (3 papers) and Functional Brain Connectivity Studies (2 papers). J.B. Reppas collaborates with scholars based in United States and Germany. J.B. Reppas's co-authors include Kenneth K. Kwong, Thomas J. Brady, Bruce R. Rosen, Rafael Malach, Roger B. H. Tootell, Martin I. Sereno, Anders M. Dale, John W. Belliveau, RB Tootell and Richard T. Born and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

J.B. Reppas

7 papers receiving 4.6k citations

Hit Papers

Borders of Multiple Visual Areas in Humans Revealed by Fu... 1995 2026 2005 2015 1995 1995 1995 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J.B. Reppas United States 5 4.4k 483 475 397 331 7 4.7k
Edgar A. DeYoe United States 27 4.9k 1.1× 660 1.4× 884 1.9× 559 1.4× 491 1.5× 59 5.6k
Heather A. Drury United States 11 2.9k 0.7× 326 0.7× 741 1.6× 183 0.5× 288 0.9× 15 3.6k
Alyssa A. Brewer United States 17 2.8k 0.6× 292 0.6× 543 1.1× 473 1.2× 120 0.4× 42 3.3k
Lars Muckli United Kingdom 35 4.2k 0.9× 1.0k 2.1× 448 0.9× 182 0.5× 467 1.4× 93 4.8k
Dwight J. Kravitz United States 28 3.5k 0.8× 499 1.0× 215 0.5× 137 0.3× 374 1.1× 58 4.0k
Mark A. Pinsk United States 22 4.7k 1.1× 577 1.2× 523 1.1× 180 0.5× 328 1.0× 32 5.2k
Peter Hallett Canada 20 2.3k 0.5× 420 0.9× 183 0.4× 490 1.2× 168 0.5× 54 3.1k
Alexander C. Huk United States 26 3.5k 0.8× 359 0.7× 141 0.3× 245 0.6× 256 0.8× 64 3.7k
Janine D. Mendola United States 19 2.5k 0.6× 179 0.4× 330 0.7× 341 0.9× 151 0.5× 48 2.9k
John Wattam-Bell United Kingdom 28 2.4k 0.5× 211 0.4× 231 0.5× 305 0.8× 218 0.7× 85 3.2k

Countries citing papers authored by J.B. Reppas

Since Specialization
Citations

This map shows the geographic impact of J.B. Reppas'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 J.B. Reppas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.B. Reppas more than expected).

Fields of papers citing papers by J.B. Reppas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.B. Reppas. 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 J.B. Reppas. The network helps show where J.B. Reppas may publish in the future.

Co-authorship network of co-authors of J.B. Reppas

This figure shows the co-authorship network connecting the top 25 collaborators of J.B. Reppas. A scholar is included among the top collaborators of J.B. Reppas 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 J.B. Reppas. J.B. Reppas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Nobes, Catherine D., J.B. Reppas, Annette Markus, & A M Tolkovsky. (1996). Active p21Ras is sufficient for rescue of NGF-dependent rat sympathetic neurons. Neuroscience. 70(4). 1067–1079. 41 indexed citations
2.
Dale, Anders M., Seppo P. Ahlfors, Hannu J. Aronen, et al.. (1996). Spatiotemporal imaging of motion processing in human visual cortex. NeuroImage. 3(3). S359–S359. 2 indexed citations
3.
Tootell, Roger B. H., Anders M. Dale, Janine D. Mendola, J.B. Reppas, & Martin I. Sereno. (1996). FMRI analysis of human visual cortical area V3A. NeuroImage. 3(3). S358–S358. 7 indexed citations
4.
Mendola, Janine D., Ann Marie Dale, J.B. Reppas, et al.. (1996). Topography of the ipsilateral representation in human visual cortex revealed by fMRI. NeuroImage. 3(3). S290–S290. 1 indexed citations
5.
Sereno, Martin I., Anders M. Dale, J.B. Reppas, et al.. (1995). Borders of Multiple Visual Areas in Humans Revealed by Functional Magnetic Resonance Imaging. Science. 268(5212). 889–893. 2071 indexed citations breakdown →
6.
Tootell, RB, et al.. (1995). Functional analysis of human MT and related visual cortical areas using magnetic resonance imaging. Journal of Neuroscience. 15(4). 3215–3230. 1152 indexed citations breakdown →
7.
Malach, Rafael, J.B. Reppas, Randall R. Benson, et al.. (1995). Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex.. Proceedings of the National Academy of Sciences. 92(18). 8135–8139. 1419 indexed citations breakdown →

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.

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