C. Daniel Salzman

7.7k total citations · 2 hit papers
41 papers, 5.0k citations indexed

About

C. Daniel Salzman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, C. Daniel Salzman has authored 41 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 13 papers in Cellular and Molecular Neuroscience and 4 papers in Sensory Systems. Recurrent topics in C. Daniel Salzman's work include Neural dynamics and brain function (28 papers), Memory and Neural Mechanisms (25 papers) and Neural and Behavioral Psychology Studies (18 papers). C. Daniel Salzman is often cited by papers focused on Neural dynamics and brain function (28 papers), Memory and Neural Mechanisms (25 papers) and Neural and Behavioral Psychology Studies (18 papers). C. Daniel Salzman collaborates with scholars based in United States, United Kingdom and Portugal. C. Daniel Salzman's co-authors include Sara E. Morrison, Joseph J. Paton, William T. Newsome, Marina A. Belova, Stefano Fusi, Kenneth H. Britten, WT Newsome, Brian Lau, Mattia Rigotti and Christopher J. Peck and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

C. Daniel Salzman

41 papers receiving 4.9k citations

Hit Papers

The primate amygdala represents the positive and... 1990 2026 2002 2014 2006 1990 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Daniel Salzman United States 29 4.2k 1.7k 660 517 423 41 5.0k
Joni D. Wallis United States 40 7.6k 1.8× 1.9k 1.1× 619 0.9× 717 1.4× 362 0.9× 63 8.6k
Steven W. Kennerley United Kingdom 32 4.7k 1.1× 946 0.6× 708 1.1× 514 1.0× 217 0.5× 42 5.4k
Peter D. Balsam United States 37 2.8k 0.7× 1.9k 1.1× 680 1.0× 365 0.7× 715 1.7× 131 4.8k
Melissa R. Warden United States 19 3.0k 0.7× 2.4k 1.4× 574 0.9× 269 0.5× 644 1.5× 30 4.9k
Daniel Durstewitz Germany 33 3.8k 0.9× 2.1k 1.3× 329 0.5× 475 0.9× 748 1.8× 81 5.2k
Shintaro Funahashi Japan 32 5.9k 1.4× 1.6k 1.0× 288 0.4× 459 0.9× 451 1.1× 111 6.9k
Gregor Rainer Switzerland 34 4.5k 1.1× 1.3k 0.8× 320 0.5× 408 0.8× 811 1.9× 98 6.2k
Carl R. Olson United States 41 5.0k 1.2× 1.4k 0.8× 442 0.7× 543 1.1× 702 1.7× 84 6.0k
Richard C. Saunders United States 49 4.9k 1.2× 3.0k 1.8× 538 0.8× 474 0.9× 897 2.1× 116 7.4k
Larry R. Squire United States 27 5.5k 1.3× 2.1k 1.2× 539 0.8× 551 1.1× 224 0.5× 35 6.6k

Countries citing papers authored by C. Daniel Salzman

Since Specialization
Citations

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

Fields of papers citing papers by C. Daniel Salzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Daniel Salzman. 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 C. Daniel Salzman. The network helps show where C. Daniel Salzman may publish in the future.

Co-authorship network of co-authors of C. Daniel Salzman

This figure shows the co-authorship network connecting the top 25 collaborators of C. Daniel Salzman. A scholar is included among the top collaborators of C. Daniel Salzman 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 C. Daniel Salzman. C. Daniel Salzman 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.
Stujenske, Joseph M., Pia-Kelsey O’Neill, Samantha R. Goldburg, et al.. (2022). Prelimbic cortex drives discrimination of non-aversion via amygdala somatostatin interneurons. Neuron. 110(14). 2258–2267.e11. 22 indexed citations
2.
Whiteway, Matthew R, Mario Dipoppa, E. Kelly Buchanan, et al.. (2021). Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. PLoS Computational Biology. 17(9). e1009439–e1009439. 16 indexed citations
3.
Wu, Anqi, E. Kelly Buchanan, Matthew R Whiteway, et al.. (2020). Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking. Neural Information Processing Systems. 33. 6040–6052. 2 indexed citations
4.
Bernardi, Silvia, Marcus K. Benna, Mattia Rigotti, et al.. (2020). The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex. Cell. 183(4). 954–967.e21. 207 indexed citations
5.
Munuera, Jérôme, Mattia Rigotti, & C. Daniel Salzman. (2018). Shared neural coding for social hierarchy and reward value in primate amygdala. Nature Neuroscience. 21(3). 415–423. 76 indexed citations
6.
O’Neill, Pia-Kelsey, Felicity Gore, & C. Daniel Salzman. (2018). Basolateral amygdala circuitry in positive and negative valence. Current Opinion in Neurobiology. 49. 175–183. 81 indexed citations
7.
Paton, Joseph J., et al.. (2017). Distinct Roles for the Amygdala and Orbitofrontal Cortex in Representing the Relative Amount of Expected Reward. Neuron. 95(1). 70–77.e3. 51 indexed citations
8.
Peck, Christopher J. & C. Daniel Salzman. (2014). The Amygdala and Basal Forebrain as a Pathway for Motivationally Guided Attention. Journal of Neuroscience. 34(41). 13757–13767. 45 indexed citations
9.
Peck, Christopher J., et al.. (2014). Task-Dependent Spatial Selectivity in the Primate Amygdala. Journal of Neuroscience. 34(49). 16220–16233. 10 indexed citations
10.
Schneider, David M., et al.. (2013). Functional Circuits and Anatomical Distribution of Response Properties in the Primate Amygdala. Journal of Neuroscience. 33(2). 722–733. 60 indexed citations
11.
Morrison, Sara E. & C. Daniel Salzman. (2011). Representations of appetitive and aversive information in the primate orbitofrontal cortex. Annals of the New York Academy of Sciences. 1239(1). 59–70. 44 indexed citations
12.
Morrison, Sara E. & C. Daniel Salzman. (2010). Re-valuing the amygdala. Current Opinion in Neurobiology. 20(2). 221–230. 235 indexed citations
13.
Rigotti, Mattia, Daniel Ben Dayan Rubin, Sara E. Morrison, C. Daniel Salzman, & Stefano Fusi. (2010). Attractor concretion as a mechanism for the formation of context representations. NeuroImage. 52(3). 833–847. 34 indexed citations
14.
Morrison, Sara E. & C. Daniel Salzman. (2009). The Convergence of Information about Rewarding and Aversive Stimuli in Single Neurons. Journal of Neuroscience. 29(37). 11471–11483. 154 indexed citations
15.
Belova, Marina A., Joseph J. Paton, & C. Daniel Salzman. (2008). Moment-to-Moment Tracking of State Value in the Amygdala. Journal of Neuroscience. 28(40). 10023–10030. 172 indexed citations
16.
Belova, Marina A., Joseph J. Paton, Sara E. Morrison, & C. Daniel Salzman. (2007). Expectation Modulates Neural Responses to Pleasant and Aversive Stimuli in Primate Amygdala. Neuron. 55(6). 970–984. 281 indexed citations
17.
Paton, Joseph J., Marina A. Belova, Sara E. Morrison, & C. Daniel Salzman. (2006). The primate amygdala represents the positive and negative value of visual stimuli during learning. Nature. 439(7078). 865–870. 665 indexed citations breakdown →
18.
Salzman, C. Daniel, Marina A. Belova, & Joseph J. Paton. (2005). Beetles, boxes and brain cells: neural mechanisms underlying valuation and learning. Current Opinion in Neurobiology. 15(6). 721–729. 12 indexed citations
19.
Salzman, C. Daniel, Kenneth H. Britten, & William T. Newsome. (1990). Cortical microstimulation influences perceptual judgements of motion direction. Nature. 346(6280). 174–177. 638 indexed citations breakdown →
20.
Newsome, William T., Kenneth H. Britten, C. Daniel Salzman, & J. Anthony Movshon. (1990). Neuronal Mechanisms of Motion Perception. Cold Spring Harbor Symposia on Quantitative Biology. 55(0). 697–705. 60 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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