Clay Lacefield

3.4k total citations · 2 hit papers
29 papers, 2.0k citations indexed

About

Clay Lacefield is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Clay Lacefield has authored 29 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 16 papers in Cognitive Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Clay Lacefield's work include Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (8 papers) and Memory and Neural Mechanisms (7 papers). Clay Lacefield is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (8 papers) and Memory and Neural Mechanisms (7 papers). Clay Lacefield collaborates with scholars based in United States, United Kingdom and Switzerland. Clay Lacefield's co-authors include Randy M. Bruno, René Hen, Thomas R. Reardon, Rafael Yuste, Eftychios A. Pnevmatikakis, Liam Paninski, Elizabeth M. C. Hillman, Venkatakaushik Voleti, Matthew B. Bouchard and César S. Mendes and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Clay Lacefield

29 papers receiving 1.9k citations

Hit Papers

Simultaneous Denoising, Deconvolution, and Demixing of Ca... 2015 2026 2018 2022 2016 2015 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
Clay Lacefield United States 17 1.0k 877 467 436 216 29 2.0k
Tara Keck United Kingdom 16 1.5k 1.4× 1.2k 1.3× 349 0.7× 589 1.4× 233 1.1× 20 2.5k
Boaz Mohar United States 13 1.2k 1.1× 638 0.7× 509 1.1× 642 1.5× 250 1.2× 15 2.1k
Knut Holthoff Germany 22 1.9k 1.9× 1.1k 1.2× 345 0.7× 837 1.9× 167 0.8× 46 2.7k
Björn M. Kampa Germany 18 1.8k 1.8× 1.4k 1.6× 357 0.8× 511 1.2× 181 0.8× 33 2.4k
Kannan Umadevi Venkataraju United States 9 680 0.7× 609 0.7× 570 1.2× 556 1.3× 152 0.7× 14 1.8k
Forrest Collman United States 10 1.1k 1.1× 1.1k 1.2× 498 1.1× 398 0.9× 153 0.7× 14 2.0k
Jerry L. Chen United States 19 1.1k 1.1× 1.4k 1.6× 234 0.5× 313 0.7× 126 0.6× 29 2.2k
Spencer L. Smith United States 20 1.2k 1.1× 1.1k 1.2× 403 0.9× 466 1.1× 183 0.8× 40 1.9k
Aaron Kerlin United States 10 1.6k 1.6× 1.4k 1.6× 653 1.4× 619 1.4× 277 1.3× 12 2.7k
Matthew Lovett-Barron United States 16 1.4k 1.4× 1.3k 1.4× 194 0.4× 402 0.9× 92 0.4× 26 2.1k

Countries citing papers authored by Clay Lacefield

Since Specialization
Citations

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

Fields of papers citing papers by Clay Lacefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clay Lacefield. 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 Clay Lacefield. The network helps show where Clay Lacefield may publish in the future.

Co-authorship network of co-authors of Clay Lacefield

This figure shows the co-authorship network connecting the top 25 collaborators of Clay Lacefield. A scholar is included among the top collaborators of Clay Lacefield 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 Clay Lacefield. Clay Lacefield 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
2.
Lacefield, Clay, et al.. (2023). Norepinephrine release in the cerebellum contributes to aversive learning. Nature Communications. 14(1). 4852–4852. 19 indexed citations
3.
Labouesse, Marie A., Muhammad O. Chohan, Alice Tang, et al.. (2023). A non-canonical striatopallidal Go pathway that supports motor control. Nature Communications. 14(1). 6712–6712. 11 indexed citations
4.
Tuncdemir, Sebnem N., Andres Grosmark, Hannah Chung, et al.. (2023). Adult-born granule cells facilitate remapping of spatial and non-spatial representations in the dentate gyrus. Neuron. 111(24). 4024–4039.e7. 8 indexed citations
5.
Lacefield, Clay, et al.. (2023). Protocol for in vivo imaging and analysis of brainstem neuronal activity in the dorsal raphe nucleus of freely behaving mice. STAR Protocols. 4(1). 102074–102074. 5 indexed citations
6.
Lacefield, Clay, et al.. (2023). An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice. Journal of Visualized Experiments. 2 indexed citations
7.
Cataldi, Stefano, et al.. (2022). Decreased Dorsomedial Striatum Direct Pathway Neuronal Activity Is Required for Learned Motor Coordination. eNeuro. 9(5). ENEURO.0169–22.2022. 6 indexed citations
8.
Tuncdemir, Sebnem N., Andres Grosmark, Gergely F. Turi, et al.. (2022). Parallel processing of sensory cue and spatial information in the dentate gyrus. Cell Reports. 38(3). 110257–110257. 24 indexed citations
9.
Faitg, Julie, Clay Lacefield, Tracey Davey, et al.. (2021). 3D neuronal mitochondrial morphology in axons, dendrites, and somata of the aging mouse hippocampus. Cell Reports. 36(6). 109509–109509. 71 indexed citations
10.
Mosharov, Eugene V., Gabriel Sturm, R. Todd Ogden, et al.. (2021). Quantitative mapping of human hair greying and reversal in relation to life stress. eLife. 10. 41 indexed citations
11.
Lacefield, Clay, et al.. (2020). A Device for Stereotaxic Viral Delivery into the Brains of Neonatal Mice. BioTechniques. 69(4). 307–312. 15 indexed citations
12.
Lee, Jun Ho, et al.. (2020). DIY-NAMIC Behavior: A High-Throughput Method to Measure Complex Phenotypes in the Homecage. eNeuro. 7(4). ENEURO.0160–20.2020. 5 indexed citations
13.
Tuncdemir, Sebnem N., Clay Lacefield, & René Hen. (2019). Contributions of adult neurogenesis to dentate gyrus network activity and computations. Behavioural Brain Research. 374. 112112–112112. 60 indexed citations
14.
Lacefield, Clay, Eftychios A. Pnevmatikakis, Liam Paninski, & Randy M. Bruno. (2019). Reinforcement Learning Recruits Somata and Apical Dendrites across Layers of Primary Sensory Cortex. Cell Reports. 26(8). 2000–2008.e2. 44 indexed citations
15.
Pnevmatikakis, Eftychios A., Daniel Soudry, Yuanjun Gao, et al.. (2016). Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data. Neuron. 89(2). 285–299. 608 indexed citations breakdown →
16.
Bouchard, Matthew B., Venkatakaushik Voleti, César S. Mendes, et al.. (2015). Swept confocally-aligned planar excitation (SCAPE) microscopy for high-speed volumetric imaging of behaving organisms. Nature Photonics. 9(2). 113–119. 372 indexed citations breakdown →
17.
Lacefield, Clay, Vladimir Itskov, Thomas R. Reardon, René Hen, & Joshua A. Gordon. (2010). Effects of adult‐generated granule cells on coordinated network activity in the dentate gyrus. Hippocampus. 22(1). 106–116. 154 indexed citations
18.
Gordon, Joshua A., Clay Lacefield, Clifford G. Kentros, & René Hen. (2005). State-Dependent Alterations in Hippocampal Oscillations in Serotonin 1A Receptor-Deficient Mice. Journal of Neuroscience. 25(28). 6509–6519. 59 indexed citations
19.
Goldberg, Jesse H., Clay Lacefield, & Rafael Yuste. (2004). Global dendritic calcium spikes in mouse layer 5 low threshold spiking interneurones: implications for control of pyramidal cell bursting. The Journal of Physiology. 558(2). 465–478. 88 indexed citations
20.
Small, Scott A., EX Wu, Dušan Bartsch, et al.. (2000). Imaging Physiologic Dysfunction of Individual Hippocampal Subregions in Humans and Genetically Modified Mice. Neuron. 28(3). 653–664. 62 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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