David H. Brann

3.1k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

David H. Brann is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Cognitive Neuroscience. According to data from OpenAlex, David H. Brann has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Sensory Systems and 7 papers in Cognitive Neuroscience. Recurrent topics in David H. Brann's work include Olfactory and Sensory Function Studies (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Memory and Neural Mechanisms (5 papers). David H. Brann is often cited by papers focused on Olfactory and Sensory Function Studies (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Memory and Neural Mechanisms (5 papers). David H. Brann collaborates with scholars based in United States, Portugal and France. David H. Brann's co-authors include Sandeep Robert Datta, Steven A. Siegelbaum, Torcato Meira, Félix Leroy, Tatsuya Tsukahara, Caleb Weinreb, Eric W. Buss, Eric R. Kandel, Jung M. Park and Arun Asok and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

David H. Brann

17 papers receiving 1.0k citations

Hit Papers

Spontaneous behaviour is structured by reinforcement with... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David H. Brann United States 14 421 360 328 191 171 18 1.0k
Gabriel Lepousez France 20 574 1.4× 491 1.4× 235 0.7× 106 0.6× 25 0.1× 27 1.6k
E Weiler Germany 15 427 1.0× 507 1.4× 164 0.5× 102 0.5× 37 0.2× 31 1.0k
Isabel Úbeda‐Bañón Spain 23 499 1.2× 688 1.9× 171 0.5× 222 1.2× 261 1.5× 54 1.4k
Masaharu Kudoh Japan 19 615 1.5× 215 0.6× 680 2.1× 45 0.2× 24 0.1× 46 1.1k
Katsushige Sato Japan 23 1.1k 2.6× 165 0.5× 412 1.3× 74 0.4× 24 0.1× 103 1.6k
Yan-Gang Sun China 24 838 2.0× 296 0.8× 407 1.2× 17 0.1× 59 0.3× 48 2.4k
Eiichi Tabuchi Japan 18 364 0.9× 109 0.3× 477 1.5× 39 0.2× 27 0.2× 44 949
R. Tweedale Australia 22 678 1.6× 138 0.4× 1.5k 4.5× 115 0.6× 73 0.4× 29 2.2k
Sabine Frey Germany 13 672 1.6× 384 1.1× 562 1.7× 225 1.2× 33 0.2× 25 1.2k
Peter Cahusac United Kingdom 20 835 2.0× 162 0.5× 792 2.4× 31 0.2× 48 0.3× 66 1.5k

Countries citing papers authored by David H. Brann

Since Specialization
Citations

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

Fields of papers citing papers by David H. Brann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H. Brann. 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 David H. Brann. The network helps show where David H. Brann may publish in the future.

Co-authorship network of co-authors of David H. Brann

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

All Works

18 of 18 papers shown
1.
Demetçi, Pınar, David H. Brann, Noga Zilkha, et al.. (2025). Single-cell genomics of the mouse olfactory cortex reveals contrasts with neocortex and ancestral signatures of cell type evolution. Nature Neuroscience. 28(5). 937–948.
2.
Markowitz, Jeffrey E., Winthrop F. Gillis, Maya Jay, et al.. (2023). Spontaneous behaviour is structured by reinforcement without explicit reward. Nature. 614(7946). 108–117. 90 indexed citations breakdown →
3.
Tsukahara, Tatsuya, David H. Brann, & Sandeep Robert Datta. (2023). Mechanisms of SARS-CoV-2-associated anosmia. Physiological Reviews. 103(4). 2759–2766. 27 indexed citations
4.
Bouffard, Marc A., et al.. (2022). Pseudotumor Cerebri Syndrome With COVID-19: A Case Series. Journal of Neuro-Ophthalmology. 42(3). e545–e547. 3 indexed citations
5.
Finlay, John B., David H. Brann, Ralph Abi Hachem, et al.. (2022). Persistent post–COVID-19 smell loss is associated with immune cell infiltration and altered gene expression in olfactory epithelium. Science Translational Medicine. 14(676). eadd0484–eadd0484. 91 indexed citations
6.
Sun, Qian, Eric W. Buss, Yu‐Qiu Jiang, et al.. (2021). Frequency-Dependent Synaptic Dynamics Differentially Tune CA1 and CA2 Pyramidal Neuron Responses to Cortical Input. Journal of Neuroscience. 41(39). 8103–8110. 8 indexed citations
7.
Tsukahara, Tatsuya, David H. Brann, Stan L. Pashkovski, et al.. (2021). A transcriptional rheostat couples past activity to future sensory responses. Cell. 184(26). 6326–6343.e32. 42 indexed citations
8.
Pashkovski, Stan L., Giuliano Iurilli, David H. Brann, et al.. (2020). Structure and flexibility in cortical representations of odour space. Nature. 583(7815). 253–258. 91 indexed citations
9.
Cooper, Keiland W, David H. Brann, Michael C. Farruggia, et al.. (2020). COVID-19 and the Chemical Senses: Supporting Players Take Center Stage. Neuron. 107(2). 219–233. 215 indexed citations
10.
Masurkar, Arjun V., et al.. (2020). Postsynaptic integrative properties of dorsal CA1 pyramidal neuron subpopulations. Journal of Neurophysiology. 123(3). 980–992. 17 indexed citations
11.
Brann, David H. & Sandeep Robert Datta. (2020). Finding the Brain in the Nose. Annual Review of Neuroscience. 43(1). 277–295. 19 indexed citations
12.
Leroy, Félix, David H. Brann, Torcato Meira, & Steven A. Siegelbaum. (2019). Input-Timing-Dependent Plasticity in the Hippocampal CA2 Region and Its Potential Role in Social Memory. Neuron. 102(1). 260–262. 8 indexed citations
13.
Williams, Alex H., Ben Poole, Niru Maheswaranathan, et al.. (2019). Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping. Neuron. 105(2). 246–259.e8. 47 indexed citations
14.
Leroy, Félix, Jung M. Park, Arun Asok, et al.. (2018). A circuit from hippocampal CA2 to lateral septum disinhibits social aggression. Nature. 564(7735). 213–218. 173 indexed citations
15.
Palacio, Stephanie, Vivien Chevaleyre, David H. Brann, et al.. (2017). Heterogeneity in Kv2 Channel Expression Shapes Action Potential Characteristics and Firing Patterns in CA1 versus CA2 Hippocampal Pyramidal Neurons. eNeuro. 4(4). ENEURO.0267–17.2017. 20 indexed citations
16.
Leroy, Félix, David H. Brann, Torcato Meira, & Steven A. Siegelbaum. (2017). Input-Timing-Dependent Plasticity in the Hippocampal CA2 Region and Its Potential Role in Social Memory. Neuron. 95(5). 1089–1102.e5. 70 indexed citations
17.
Masurkar, Arjun V., Kalyan V. Srinivas, David H. Brann, et al.. (2017). Medial and Lateral Entorhinal Cortex Differentially Excite Deep versus Superficial CA1 Pyramidal Neurons. Cell Reports. 18(1). 148–160. 82 indexed citations
18.
Falconer, Erin, et al.. (2015). Multi-Agent-Based Simulation of a Complex Ecosystem of Mental Health Care. Journal of Medical Systems. 40(2). 39–39. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026