Audrey M. Wells

24 total papers · 746 total citations
15 papers, 594 citations indexed

About

Audrey M. Wells is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Audrey M. Wells has authored 15 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 13 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Audrey M. Wells's work include Memory and Neural Mechanisms (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Audrey M. Wells is often cited by papers focused on Memory and Neural Mechanisms (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Audrey M. Wells collaborates with scholars based in United States and Canada. Audrey M. Wells's co-authors include Rita A. Fuchs, Xiaohu Xie, Heather C. Lasseter, Amy A. Arguello, William A. Carlezon, Kathleen M. Kantak, Yasmin Mashhoon, Harry Pantazopoulos, Kwang‐Soo Kim and Woori Kim and has published in prestigious journals such as Journal of Neuroscience, Biological Psychiatry and Neuropsychopharmacology.

In The Last Decade

Audrey M. Wells

15 papers receiving 593 citations

Author Peers

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

Author Last Decade Papers Cites
Audrey M. Wells 462 371 160 89 64 15 594
Marianne Klanker 347 0.8× 261 0.7× 173 1.1× 77 0.9× 92 1.4× 9 633
Keith Tully 346 0.7× 305 0.8× 169 1.1× 106 1.2× 89 1.4× 9 677
Aude Belin‐Rauscent 547 1.2× 217 0.6× 205 1.3× 68 0.8× 87 1.4× 17 673
Judith Schweimer 354 0.8× 301 0.8× 149 0.9× 79 0.9× 85 1.3× 18 605
Emanuele Seu 370 0.8× 287 0.8× 154 1.0× 117 1.3× 98 1.5× 16 691
Yung H. Huang 386 0.8× 249 0.7× 171 1.1× 93 1.0× 122 1.9× 14 679
Chenghui Song 323 0.7× 239 0.6× 182 1.1× 68 0.8× 35 0.5× 18 573
Shruti Muralidhar 432 0.9× 378 1.0× 170 1.1× 83 0.9× 102 1.6× 8 673
Paul G. Anastasiades 477 1.0× 469 1.3× 136 0.8× 54 0.6× 65 1.0× 15 687
Aram Parsegian 455 1.0× 186 0.5× 236 1.5× 109 1.2× 76 1.2× 14 631

Countries citing papers authored by Audrey M. Wells

Since Specialization
Citations

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

Fields of papers citing papers by Audrey M. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Audrey M. Wells. 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 Audrey M. Wells. The network helps show where Audrey M. Wells may publish in the future.

Co-authorship network of co-authors of Audrey M. Wells

This figure shows the co-authorship network connecting the top 25 collaborators of Audrey M. Wells. A scholar is included among the top collaborators of Audrey M. Wells 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 Audrey M. Wells. Audrey M. Wells 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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