Kimberly R. Moore

8 total papers · 1.5k total citations
6 papers, 1.2k citations indexed

About

Kimberly R. Moore is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kimberly R. Moore has authored 6 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kimberly R. Moore's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). Kimberly R. Moore is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). Kimberly R. Moore collaborates with scholars based in United States. Kimberly R. Moore's co-authors include Randy Blakely, Andrea L. Bauman, Ho Jae Han, Sammanda Ramamoorthy, Teresa L. Yang‐Feng, Albert S. Chang, Vadivel Ganapathy, Randy D. Blakely, Fariborz Rakhshan and Eric L. Barker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Kimberly R. Moore

6 papers receiving 1.2k citations

Hit Papers

Antidepressant- and cocai... 1993 2026 2004 2015 1993 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Kimberly R. Moore 815 642 125 103 97 6 1.2k
Karsten M. Strauss 560 0.7× 448 0.7× 133 1.1× 73 0.7× 164 1.7× 7 1.1k
H. Lichtblau 597 0.7× 600 0.9× 64 0.5× 72 0.7× 150 1.5× 4 1.2k
Albert S. Chang 600 0.7× 586 0.9× 121 1.0× 133 1.3× 123 1.3× 16 1.4k
Jasmine V. Ferrer 961 1.2× 877 1.4× 73 0.6× 69 0.7× 99 1.0× 12 1.5k
Karen Groshan 543 0.7× 499 0.8× 148 1.2× 170 1.7× 112 1.2× 9 1.1k
Yan Qian 922 1.1× 939 1.5× 69 0.6× 71 0.7× 103 1.1× 24 1.4k
RUSSELL W. LAKE 929 1.1× 588 0.9× 56 0.4× 95 0.9× 63 0.6× 9 1.2k
James A. Bonini 597 0.7× 590 0.9× 53 0.4× 52 0.5× 113 1.2× 9 1.1k
Evguenia Kouranova 738 0.9× 753 1.2× 57 0.5× 224 2.2× 165 1.7× 11 1.4k
C. W. Abell 502 0.6× 457 0.7× 51 0.4× 143 1.4× 96 1.0× 12 1.2k

Countries citing papers authored by Kimberly R. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly R. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly R. Moore. 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 Kimberly R. Moore. The network helps show where Kimberly R. Moore may publish in the future.

Co-authorship network of co-authors of Kimberly R. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly R. Moore. A scholar is included among the top collaborators of Kimberly R. Moore 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 Kimberly R. Moore. Kimberly R. Moore 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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