Patrick A. LaChance

33 total papers · 403 total citations
15 papers, 220 citations indexed

About

Patrick A. LaChance is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Patrick A. LaChance has authored 15 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Sensory Systems and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Patrick A. LaChance's work include Memory and Neural Mechanisms (10 papers), Neuroscience and Neuropharmacology Research (5 papers) and Olfactory and Sensory Function Studies (5 papers). Patrick A. LaChance is often cited by papers focused on Memory and Neural Mechanisms (10 papers), Neuroscience and Neuropharmacology Research (5 papers) and Olfactory and Sensory Function Studies (5 papers). Patrick A. LaChance collaborates with scholars based in United States, France and Germany. Patrick A. LaChance's co-authors include Jeffrey S. Taube, Travis P. Todd, Gabriela Manzano-Nieves, Barry W. Connors, Brian Theyel, Kevin G. Bath, Christopher I. Moore, Jalina A. Graham, Michael E. Hasselmo and Nianyi Chen and has published in prestigious journals such as Science, Nature Communications and Journal of Neuroscience.

In The Last Decade

Patrick A. LaChance

15 papers receiving 212 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Patrick A. LaChance 135 93 40 31 29 15 220
Emily Cole 149 1.1× 114 1.2× 36 0.9× 26 0.8× 51 1.8× 10 318
Cristian Bernabe 114 0.8× 87 0.9× 51 1.3× 14 0.5× 51 1.8× 14 325
Huating Gu 69 0.5× 81 0.9× 35 0.9× 18 0.6× 45 1.6× 14 295
Meizhu Huang 119 0.9× 123 1.3× 23 0.6× 31 1.0× 56 1.9× 9 303
Mariana Leriche 116 0.9× 201 2.2× 28 0.7× 20 0.6× 31 1.1× 11 302
Aya Zucca 155 1.1× 180 1.9× 37 0.9× 13 0.4× 61 2.1× 10 329
Archana Venkataraman 74 0.5× 143 1.5× 59 1.5× 15 0.5× 51 1.8× 12 285
Freddyson J. Martínez-Rivera 68 0.5× 105 1.1× 41 1.0× 8 0.3× 33 1.1× 15 223
Can Tao 112 0.8× 98 1.1× 44 1.1× 24 0.8× 71 2.4× 14 250
Nancy R. Mack 130 1.0× 107 1.2× 62 1.6× 8 0.3× 67 2.3× 10 287

Countries citing papers authored by Patrick A. LaChance

Since Specialization
Citations

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

Fields of papers citing papers by Patrick A. LaChance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick A. LaChance. 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 Patrick A. LaChance. The network helps show where Patrick A. LaChance may publish in the future.

Co-authorship network of co-authors of Patrick A. LaChance

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

All Works

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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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