Brian E. Russ

2.4k total citations
43 papers, 1.2k citations indexed

About

Brian E. Russ is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Brian E. Russ has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 9 papers in Social Psychology and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Brian E. Russ's work include Neural dynamics and brain function (28 papers), Functional Brain Connectivity Studies (14 papers) and Visual perception and processing mechanisms (12 papers). Brian E. Russ is often cited by papers focused on Neural dynamics and brain function (28 papers), Functional Brain Connectivity Studies (14 papers) and Visual perception and processing mechanisms (12 papers). Brian E. Russ collaborates with scholars based in United States, United Kingdom and Japan. Brian E. Russ's co-authors include Yale E. Cohen, David A. Leopold, Frank Q. Ye, Gordon W. Gifford, David B. T. McMahon, Frédéric E. Theunissen, Kenji W. Koyano, P. Gill, Ilya E. Monosov and David Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Brian E. Russ

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian E. Russ United States 17 1.0k 258 158 123 104 43 1.2k
Katia Lehongre France 18 1.3k 1.3× 202 0.8× 90 0.6× 71 0.6× 170 1.6× 48 1.7k
Manon Grube United Kingdom 21 1.4k 1.3× 374 1.4× 34 0.2× 142 1.2× 48 0.5× 37 1.5k
Tomás Ossandón Chile 21 1.2k 1.2× 193 0.7× 69 0.4× 107 0.9× 36 0.3× 36 1.4k
Roozbeh Behroozmand United States 21 1.2k 1.2× 424 1.6× 35 0.2× 143 1.2× 37 0.4× 64 1.6k
Sundeep Teki United Kingdom 21 1.5k 1.5× 431 1.7× 38 0.2× 129 1.0× 35 0.3× 32 1.7k
André Gouws United Kingdom 19 863 0.8× 137 0.5× 180 1.1× 80 0.7× 9 0.1× 51 1.1k
Alexander Gutschalk Germany 25 2.1k 2.1× 486 1.9× 47 0.3× 130 1.1× 37 0.4× 60 2.4k
Jean‐Paul Guillemot Canada 22 1.3k 1.3× 463 1.8× 110 0.7× 86 0.7× 23 0.2× 73 1.5k
Ruth de Diego‐Balaguer Spain 26 1.6k 1.5× 402 1.6× 252 1.6× 168 1.4× 15 0.1× 59 2.0k
Sam Norman-Haignere United States 15 1.1k 1.0× 261 1.0× 48 0.3× 90 0.7× 48 0.5× 24 1.2k

Countries citing papers authored by Brian E. Russ

Since Specialization
Citations

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

Fields of papers citing papers by Brian E. Russ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian E. Russ. 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 Brian E. Russ. The network helps show where Brian E. Russ may publish in the future.

Co-authorship network of co-authors of Brian E. Russ

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

All Works

20 of 20 papers shown
1.
Fujimoto, Atsushi, Gaurav Verma, William G.M. Janssen, et al.. (2025). Deep brain stimulation induces white matter remodeling and functional changes to brain-wide networks. Brain stimulation. 18(1). 242–243. 1 indexed citations
2.
Santistevan, Anthony, et al.. (2024). Evolutionarily conserved neural responses to affective touch in monkeys transcend consciousness and change with age. Proceedings of the National Academy of Sciences. 121(18). e2322157121–e2322157121. 5 indexed citations
3.
Peng, Xiaomei, Lucas R. Trambaiolli, Eun Young Choi, et al.. (2024). Cross-species striatal hubs: Linking anatomy to resting-state connectivity. NeuroImage. 301. 120866–120866. 4 indexed citations
4.
5.
Janssen, William G.M., Atsushi Fujimoto, Huiqing Zhan, et al.. (2023). Single basolateral amygdala neurons in macaques exhibit distinct connectional motifs with frontal cortex. Neuron. 111(20). 3307–3320.e5. 10 indexed citations
6.
Telesford, Qawi K., Ting Xu, Stanley J. Colcombe, et al.. (2023). An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI. Scientific Data. 10(1). 554–554. 4 indexed citations
7.
Russ, Brian E., et al.. (2023). Temporal continuity shapes visual responses of macaque face patch neurons. Neuron. 111(6). 903–914.e3. 12 indexed citations
8.
Leszczyński, Marcin, Brian E. Russ, Charles E. Schroeder, et al.. (2023). Semantic novelty modulates neural responses to visual change across the human brain. Nature Communications. 14(1). 2910–2910. 9 indexed citations
9.
Fujimoto, Atsushi, et al.. (2022). Resting-State fMRI-Based Screening of Deschloroclozapine in Rhesus Macaques Predicts Dosage-Dependent Behavioral Effects. Journal of Neuroscience. 42(29). 5705–5716. 16 indexed citations
10.
Koyano, Kenji W., et al.. (2022). Brain-wide functional connectivity of face patch neurons during rest. Proceedings of the National Academy of Sciences. 119(36). e2206559119–e2206559119. 6 indexed citations
11.
Koyano, Kenji W., et al.. (2022). Parallel functional subnetworks embedded in the macaque face patch system. Science Advances. 8(10). 11 indexed citations
12.
Russ, Brian E., Stephan Bickel, Nelleke C. van Wouwe, et al.. (2022). A new paradigm for investigating real-world social behavior and its neural underpinnings. Behavior Research Methods. 55(5). 2333–2352. 1 indexed citations
13.
Fujimoto, Atsushi, et al.. (2021). Piecing together the orbitofrontal puzzle.. Behavioral Neuroscience. 135(2). 301–311. 3 indexed citations
14.
Koyano, Kenji W., et al.. (2020). Dynamic Suppression of Average Facial Structure Shapes Neural Tuning in Three Macaque Face Patches. Current Biology. 31(1). 1–12.e5. 33 indexed citations
15.
Turchi, Janita, Catie Chang, Frank Q. Ye, et al.. (2018). The Basal Forebrain Regulates Global Resting-State fMRI Fluctuations. Neuron. 97(4). 940–952.e4. 150 indexed citations
16.
Russ, Brian E., et al.. (2017). Functional Subpopulations of Neurons in a Macaque Face Patch Revealed by Single-Unit fMRI Mapping. Neuron. 95(4). 971–981.e5. 37 indexed citations
17.
Reveley, Colin, Audrūnas Gruslys, Frank Q. Ye, et al.. (2016). Three-Dimensional Digital Template Atlas of the Macaque Brain. Cerebral Cortex. 27(9). 4463–4477. 127 indexed citations
18.
Russ, Brian E., Takaaki Kaneko, Kadharbatcha S. Saleem, Rebecca A. Berman, & David A. Leopold. (2016). Distinct fMRI Responses to Self-Induced versus Stimulus Motion during Free Viewing in the Macaque. Journal of Neuroscience. 36(37). 9580–9589. 16 indexed citations
19.
Hung, Chia-Chun, et al.. (2015). Neural responses to naturalistic movies in the common marmoset using electrocorticography and fMRI. Journal of Vision. 15(12). 580–580. 2 indexed citations
20.
Cohen, Yale E., Frédéric E. Theunissen, Brian E. Russ, & P. Gill. (2006). Acoustic Features of Rhesus Vocalizations and Their Representation in the Ventrolateral Prefrontal Cortex. Journal of Neurophysiology. 97(2). 1470–1484. 75 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.

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