Shannon J. Moore

56 total papers · 4.0k total citations
42 papers, 3.2k citations indexed

About

Shannon J. Moore is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Shannon J. Moore has authored 42 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 7 papers in Cognitive Neuroscience. Recurrent topics in Shannon J. Moore's work include Neuroscience and Neuropharmacology Research (14 papers), Amino Acid Enzymes and Metabolism (5 papers) and Memory and Neural Mechanisms (5 papers). Shannon J. Moore is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Amino Acid Enzymes and Metabolism (5 papers) and Memory and Neural Mechanisms (5 papers). Shannon J. Moore collaborates with scholars based in United States, France and Italy. Shannon J. Moore's co-authors include E. J. Bigwood, E. Schram, William H. Stein, James M. Manning, Glynn Wilson, Peter Blackburn, Geoffrey G. Murphy, Nelson Spruston, Austin R. Graves and Erik B. Bloss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Shannon J. Moore

42 papers receiving 2.8k citations

Hit Papers

Amino Acid Analysis: Aque... 1954 2026 1978 2002 1968 1954 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Shannon J. Moore 1.6k 371 338 279 221 42 3.2k
Olivier Schaad 2.0k 1.2× 457 1.2× 495 1.5× 346 1.2× 350 1.6× 50 4.7k
Martin L. Pall 1.5k 0.9× 175 0.5× 493 1.5× 263 0.9× 164 0.7× 79 3.0k
Svenja Hester 1.6k 1.0× 199 0.5× 223 0.7× 258 0.9× 238 1.1× 28 2.7k
Hiroshi Omote 2.6k 1.6× 604 1.6× 456 1.3× 257 0.9× 236 1.1× 82 4.8k
Meiling Wu 1.3k 0.8× 222 0.6× 136 0.4× 213 0.8× 187 0.8× 51 2.9k
Oscar A. Candia 2.9k 1.8× 566 1.5× 268 0.8× 380 1.4× 293 1.3× 135 4.4k
Sepehr Eskandari 1.5k 0.9× 510 1.4× 242 0.7× 111 0.4× 185 0.8× 41 2.6k
Howard M. Lenhoff 1.6k 1.0× 320 0.9× 416 1.2× 442 1.6× 244 1.1× 113 4.1k
Andrés D. Maturana 1.7k 1.1× 682 1.8× 183 0.5× 213 0.8× 423 1.9× 81 3.4k
Michael T. Henzl 1.8k 1.1× 455 1.2× 169 0.5× 222 0.8× 124 0.6× 98 3.4k

Countries citing papers authored by Shannon J. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Shannon J. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon J. Moore

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