Stephen C. Lenzi

559 total citations
10 papers, 211 citations indexed

About

Stephen C. Lenzi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Stephen C. Lenzi has authored 10 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Stephen C. Lenzi's work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (3 papers) and Zebrafish Biomedical Research Applications (3 papers). Stephen C. Lenzi is often cited by papers focused on Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (3 papers) and Zebrafish Biomedical Research Applications (3 papers). Stephen C. Lenzi collaborates with scholars based in United Kingdom, Germany and Norway. Stephen C. Lenzi's co-authors include Troy W. Margrie, Sepiedeh Keshavarzi, Edward F. Bracey, Lee Cossell, Tiago Branco, Mateo Vélez‐Fort, Charly V. Rousseau, Molly Strom, Adam L. Tyson and Richard Faville and has published in prestigious journals such as Nature, Neuron and Current Biology.

In The Last Decade

Stephen C. Lenzi

9 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen C. Lenzi United Kingdom	6	148	114	25	24	22	10	211
Monica Moroni Italy	9	174 1.2×	160 1.4×	25 1.0×	34 1.4×	56 2.5×	15	323
Johannes M. Mayrhofer Switzerland	6	223 1.5×	179 1.6×	11 0.4×	27 1.1×	25 1.1×	6	255
Helene Schmidt Germany	6	303 2.0×	282 2.5×	19 0.8×	19 0.8×	27 1.2×	6	362
Tess Oram Israel	8	197 1.3×	169 1.5×	11 0.4×	32 1.3×	13 0.6×	9	265
Alexander Attinger Switzerland	4	354 2.4×	220 1.9×	14 0.6×	38 1.6×	25 1.1×	5	391
Emmanuel Márquez-Legorreta Australia	6	116 0.8×	66 0.6×	8 0.3×	44 1.8×	27 1.2×	7	200
Karin Morandell Switzerland	5	309 2.1×	219 1.9×	13 0.5×	38 1.6×	56 2.5×	5	397
Heather A. Sullivan United States	8	128 0.9×	129 1.1×	15 0.6×	88 3.7×	14 0.6×	17	313
Giulia D’Urso United States	4	211 1.4×	208 1.8×	8 0.3×	67 2.8×	14 0.6×	5	349
Zhe Dong United States	5	105 0.7×	107 0.9×	10 0.4×	35 1.5×	4 0.2×	11	239

Countries citing papers authored by Stephen C. Lenzi

Since Specialization

Citations

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

Fields of papers citing papers by Stephen C. Lenzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen C. Lenzi

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

All Works

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10 of 10 papers shown

Vergara, Hernando Martínez, Yvonne Johansson, Stephen C. Lenzi, et al.. (2025). Dopaminergic action prediction errors serve as a value-free teaching signal. Nature. 643(8074). 1333–1342. 4 indexed citations

Stempel, A. Vanessa, Dominic A. Evans, Federico Claudi, et al.. (2024). Tonically active GABAergic neurons in the dorsal periaqueductal gray control instinctive escape in mice. Current Biology. 34(13). 3031–3039.e7. 7 indexed citations

Tyson, Adam L., Mateo Vélez‐Fort, Charly V. Rousseau, et al.. (2022). Accurate determination of marker location within whole-brain microscopy images. Scientific Reports. 12(1). 867–867. 26 indexed citations

Lenzi, Stephen C., et al.. (2022). Threat history controls flexible escape behavior in mice. Current Biology. 32(13). 2972–2979.e3. 21 indexed citations

Keshavarzi, Sepiedeh, Edward F. Bracey, Richard Faville, et al.. (2022). The retrosplenial cortex combines internal and external cues to encode head velocity during navigation. Zenodo (CERN European Organization for Nuclear Research).

Keshavarzi, Sepiedeh, Edward F. Bracey, Richard Faville, et al.. (2021). Multisensory coding of angular head velocity in the retrosplenial cortex. Neuron. 110(3). 532–543.e9. 52 indexed citations

Bracey, Edward F., Richard Faville, Dario Campagner, et al.. (2021). Multi-Sensory Coding of Head Velocity in the Retrosplenial Cortex During Navigation. SSRN Electronic Journal. 1 indexed citations

Lenzi, Stephen C., et al.. (2020). Circuit-Specific Dendritic Development in the Piriform Cortex. eNeuro. 7(3). ENEURO.0083–20.2020. 4 indexed citations

Vélez‐Fort, Mateo, Edward F. Bracey, Sepiedeh Keshavarzi, et al.. (2018). A Circuit for Integration of Head- and Visual-Motion Signals in Layer 6 of Mouse Primary Visual Cortex. Neuron. 98(1). 179–191.e6. 82 indexed citations

10.

Lenzi, Stephen C., et al.. (2017). SamuROI, a Python-Based Software Tool for Visualization and Analysis of Dynamic Time Series Imaging at Multiple Spatial Scales. Frontiers in Neuroinformatics. 11. 44–44. 14 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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