Sarah R. Heilbronner

4.4k total citations
56 papers, 2.7k citations indexed

About

Sarah R. Heilbronner is a scholar working on Cognitive Neuroscience, Social Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sarah R. Heilbronner has authored 56 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 9 papers in Social Psychology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sarah R. Heilbronner's work include Neural dynamics and brain function (22 papers), Functional Brain Connectivity Studies (21 papers) and Neural and Behavioral Psychology Studies (13 papers). Sarah R. Heilbronner is often cited by papers focused on Neural dynamics and brain function (22 papers), Functional Brain Connectivity Studies (21 papers) and Neural and Behavioral Psychology Studies (13 papers). Sarah R. Heilbronner collaborates with scholars based in United States, France and Puerto Rico. Sarah R. Heilbronner's co-authors include Benjamin Y. Hayden, Michael L. Platt, Suzanne N. Haber, John Pearson, David L. Barack, Henk J. Groenewegen, Jose Rodríguez-Romaguera, Gregory J. Quirk, Alexandra G. Rosati and Brian Hare and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Sarah R. Heilbronner

48 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah R. Heilbronner United States 25 1.8k 420 392 359 335 56 2.7k
Miriam C. Klein-Flügge United Kingdom 27 2.0k 1.1× 361 0.9× 438 1.1× 316 0.9× 730 2.2× 41 3.5k
Paula L. Croxson United States 18 1.9k 1.0× 398 0.9× 419 1.1× 241 0.7× 582 1.7× 24 2.5k
Christian Bellebaum Germany 27 2.0k 1.1× 348 0.8× 293 0.7× 434 1.2× 84 0.3× 102 2.5k
MaryAnn P. Noonan United Kingdom 21 3.2k 1.8× 728 1.7× 389 1.0× 546 1.5× 558 1.7× 31 4.0k
Marc Guitart‐Masip United Kingdom 33 2.5k 1.4× 404 1.0× 924 2.4× 705 2.0× 117 0.3× 70 3.6k
Jill X. O’Reilly United Kingdom 25 3.9k 2.2× 785 1.9× 513 1.3× 801 2.2× 670 2.0× 44 5.0k
Estela Càmara Spain 29 1.4k 0.8× 246 0.6× 274 0.7× 295 0.8× 226 0.7× 55 2.0k
Elisa Ciaramelli Italy 29 3.5k 2.0× 437 1.0× 286 0.7× 754 2.1× 148 0.4× 73 4.1k
Peter H. Rudebeck United States 29 3.7k 2.1× 782 1.9× 1.2k 3.0× 592 1.6× 237 0.7× 53 4.9k
Jan R. Wessel United States 31 2.9k 1.6× 307 0.7× 283 0.7× 496 1.4× 62 0.2× 66 3.4k

Countries citing papers authored by Sarah R. Heilbronner

Since Specialization
Citations

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

Fields of papers citing papers by Sarah R. Heilbronner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah R. Heilbronner. 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 Sarah R. Heilbronner. The network helps show where Sarah R. Heilbronner may publish in the future.

Co-authorship network of co-authors of Sarah R. Heilbronner

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah R. Heilbronner. A scholar is included among the top collaborators of Sarah R. Heilbronner 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 Sarah R. Heilbronner. Sarah R. Heilbronner 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.
Hayden, Benjamin Y., Sarah R. Heilbronner, & Seng Bum Michael Yoo. (2025). Rethinking the centrality of brain areas in understanding functional organization. Nature Neuroscience. 29(2). 267–278. 1 indexed citations
2.
Heilbronner, Sarah R., et al.. (2025). Visible light polarization-sensitive optical coherence tomography with balanced detection. Journal of Biomedical Optics. 30(3). 36002–36002.
3.
4.
Braun, Henry, Daniel Bullock, Rémi Patriat, et al.. (2024). A Reproducible Pipeline for Parcellation of the Anterior Limb of the Internal Capsule. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 9(12). 1249–1261. 2 indexed citations
5.
Tang, Wei, et al.. (2023). Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective. International Journal of Molecular Sciences. 24(10). 9083–9083. 13 indexed citations
7.
Grier, Mark D., Essa Yacoub, Gregor Adriany, et al.. (2022). Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain. NeuroImage. 255. 119200–119200. 10 indexed citations
8.
Wang, Maya Zhe, Benjamin Y. Hayden, & Sarah R. Heilbronner. (2022). A structural and functional subdivision in central orbitofrontal cortex. Nature Communications. 13(1). 11 indexed citations
9.
Redish, A. David, Ádám Kepecs, Lisa M. Anderson, et al.. (2021). Computational validity: using computation to translate behaviours across species. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1844). 20200525–20200525. 31 indexed citations
10.
Tang, Wei, Eun Young Choi, Sarah R. Heilbronner, & Suzanne N. Haber. (2020). Nonhuman primate meso-circuitry data: a translational tool to understand brain networks across species. Brain Structure and Function. 226(1). 1–11. 10 indexed citations
11.
Grier, Mark D., Jan Zimmermann, & Sarah R. Heilbronner. (2020). Estimating Brain Connectivity With Diffusion-Weighted Magnetic Resonance Imaging: Promise and Peril. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(9). 846–854. 18 indexed citations
12.
Bohlen, Martin O., Paul J. May, Michele A. Basso, et al.. (2020). Using rAAV2-retro in rhesus macaques: Promise and caveats for circuit manipulation. Journal of Neuroscience Methods. 345. 108859–108859. 26 indexed citations
13.
Heilbronner, Sarah R. & Matthew V. Chafee. (2019). Learning How Neurons Fail Inside of Networks: Nonhuman Primates Provide Critical Data for Psychiatry. Neuron. 102(1). 21–26. 10 indexed citations
14.
Grisot, Giorgia, Saâd Jbabdi, Timothy E.J. Behrens, et al.. (2018). Functional Segmentation of the Anterior Limb of the Internal Capsule: Linking White Matter Abnormalities to Specific Connections. Journal of Neuroscience. 38(8). 2106–2117. 114 indexed citations
15.
Heilbronner, Sarah R., et al.. (2018). How do cortico-striatal projections impact on downstream pallidal circuitry?. Brain Structure and Function. 223(6). 2809–2821. 14 indexed citations
16.
Heilbronner, Sarah R. & Michael L. Platt. (2013). Causal Evidence of Performance Monitoring by Neurons in Posterior Cingulate Cortex during Learning. Neuron. 80(6). 1384–1391. 53 indexed citations
17.
Hayden, Benjamin Y., Sarah R. Heilbronner, John Pearson, & Michael L. Platt. (2011). Surprise Signals in Anterior Cingulate Cortex: Neuronal Encoding of Unsigned Reward Prediction Errors Driving Adjustment in Behavior. Journal of Neuroscience. 31(11). 4178–4187. 281 indexed citations
18.
Heilbronner, Sarah R., Benjamin Y. Hayden, & Michael L. Platt. (2011). Decision Salience Signals in Posterior Cingulate Cortex. Frontiers in Neuroscience. 5. 55–55. 53 indexed citations
19.
McGinty, Vincent B., Benjamin Y. Hayden, Sarah R. Heilbronner, et al.. (2011). Emerging, reemerging, and forgotten brain areas of the reward circuit: Notes from the 2010 Motivational Neural Networks conference. Behavioural Brain Research. 225(1). 348–357. 18 indexed citations
20.
Heilbronner, Sarah R. & Michael L. Platt. (2007). Animal Cognition: Time Flies When Chimps Are Having Fun. Current Biology. 17(23). R1008–R1010. 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.

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