Lacey Kitch

2.1k total citations · 1 hit paper
9 papers, 1.3k citations indexed

About

Lacey Kitch is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Lacey Kitch has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Lacey Kitch's work include Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Olfactory and Sensory Function Studies (2 papers). Lacey Kitch is often cited by papers focused on Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Olfactory and Sensory Function Studies (2 papers). Lacey Kitch collaborates with scholars based in United States, Switzerland and Germany. Lacey Kitch's co-authors include Mark J. Schnitzer, Abbas El Gamal, Eric D. Cocker, Kunal Ghosh, Yaniv Ziv, Chen Sun, Jared Martin, Takashi Kitamura, Susumu Tonegawa and Benjamin F. Grewe and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Lacey Kitch

9 papers receiving 1.3k citations

Hit Papers

Long-term dynamics of CA1 hippocampal place codes 2013 2026 2017 2021 2013 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
Lacey Kitch United States 7 991 943 157 138 132 9 1.3k
Fraser T. Sparks United States 21 1.1k 1.1× 1.0k 1.1× 105 0.7× 149 1.1× 196 1.5× 30 1.4k
Thomas R. Reardon United States 6 883 0.9× 973 1.0× 219 1.4× 263 1.9× 149 1.1× 7 1.5k
Michael S. Bienkowski United States 10 764 0.8× 624 0.7× 122 0.8× 186 1.3× 104 0.8× 18 1.2k
Monica Y. Song United States 6 739 0.7× 595 0.6× 101 0.6× 200 1.4× 87 0.7× 6 1.2k
Lin Gou United States 6 719 0.7× 597 0.6× 104 0.7× 186 1.3× 87 0.7× 9 1.2k
Nicholas N. Foster United States 8 695 0.7× 592 0.6× 130 0.8× 203 1.5× 87 0.7× 10 1.1k
Sue Ann Koay United States 10 760 0.8× 618 0.7× 216 1.4× 213 1.5× 99 0.8× 13 1.2k
Seita Yamashita United States 4 688 0.7× 569 0.6× 100 0.6× 168 1.2× 80 0.6× 4 1.0k
Zengcai V. Guo United States 15 1.6k 1.6× 1.3k 1.3× 110 0.7× 195 1.4× 108 0.8× 22 2.2k
Ian Bowman United States 7 703 0.7× 557 0.6× 120 0.8× 173 1.3× 82 0.6× 10 1.1k

Countries citing papers authored by Lacey Kitch

Since Specialization
Citations

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

Fields of papers citing papers by Lacey Kitch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lacey Kitch

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

All Works

9 of 9 papers shown
1.
Schächter, Michael, Lu Sun, Sandra Santulli-Marotto, et al.. (2022). 643 Spatial-transcriptomic analysis of neoadjuvant checkpoint immunotherapy in recurrent glioblastoma. Regular and Young Investigator Award Abstracts. A674–A674. 1 indexed citations
2.
Clark, David G., Narendra R. Joshi, Lacey Kitch, et al.. (2021). Olfactory landmarks and path integration converge to form a cognitive spatial map. Neuron. 109(24). 4036–4049.e5. 33 indexed citations
3.
Clark, David G., Narendra R. Joshi, Lacey Kitch, et al.. (2021). Olfactory Landmarks and Path Integration Converge to Form a Cognitive Spatial Map. SSRN Electronic Journal. 1 indexed citations
5.
Grewe, Benjamin F., Jan Gründemann, Lacey Kitch, et al.. (2017). Neural ensemble dynamics underlying a long-term associative memory. Nature. 543(7647). 670–675. 217 indexed citations
6.
Kitamura, Takashi, Chen Sun, Jared Martin, et al.. (2015). Entorhinal Cortical Ocean Cells Encode Specific Contexts and Drive Context-Specific Fear Memory. Neuron. 87(6). 1317–1331. 114 indexed citations
7.
Sun, Chen, Takashi Kitamura, J. Yamamoto, et al.. (2015). Distinct speed dependence of entorhinal island and ocean cells, including respective grid cells. Proceedings of the National Academy of Sciences. 112(30). 9466–9471. 89 indexed citations
8.
Lecoq, Jérôme, Joan Savall, Dejan Vučinić, et al.. (2014). Visualizing mammalian brain area interactions by dual-axis two-photon calcium imaging. Nature Neuroscience. 17(12). 1825–1829. 99 indexed citations
9.
Ziv, Yaniv, Eric D. Cocker, Kunal Ghosh, et al.. (2013). Long-term dynamics of CA1 hippocampal place codes. Nature Neuroscience. 16(3). 264–266. 726 indexed citations breakdown →

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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