Elizabeth M. Moir

15 total papers · 642 total citations
11 papers, 433 citations indexed

About

Elizabeth M. Moir is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy. According to data from OpenAlex, Elizabeth M. Moir has authored 11 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Spectroscopy. Recurrent topics in Elizabeth M. Moir's work include Molecular Sensors and Ion Detection (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). Elizabeth M. Moir is often cited by papers focused on Molecular Sensors and Ion Detection (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). Elizabeth M. Moir collaborates with scholars based in United Kingdom and United States. Elizabeth M. Moir's co-authors include Zoran Ranković, Craig Jamieson, Grant Wishart, Jonathan Clayden, Madeleine Helliwell, John Maclean, Robert A. Campbell, Amanda Lyons, John A. Morrow and Bert Kazemier and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Elizabeth M. Moir

11 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Elizabeth M. Moir 274 123 90 80 57 11 433
John G. Houston 231 0.8× 71 0.6× 40 0.4× 75 0.9× 15 0.3× 15 462
Wenzhong Yan 277 1.0× 90 0.7× 93 1.0× 39 0.5× 64 1.1× 19 430
Hitoshi Sakashita 220 0.8× 80 0.7× 45 0.5× 54 0.7× 15 0.3× 19 409
Julien Louvel 278 1.0× 207 1.7× 73 0.8× 95 1.2× 19 0.3× 19 484
Günter Thomas 326 1.2× 79 0.6× 145 1.6× 20 0.3× 127 2.2× 8 484
Anthony W. J. Cooper 229 0.8× 183 1.5× 38 0.4× 137 1.7× 9 0.2× 17 461
Andreas Kling 215 0.8× 172 1.4× 63 0.7× 32 0.4× 56 1.0× 19 449
Julie A Gratton 96 0.4× 50 0.4× 67 0.7× 79 1.0× 46 0.8× 10 486
Bernard Portevin 198 0.7× 269 2.2× 87 1.0× 34 0.4× 18 0.3× 16 483
Wu Yang 193 0.7× 158 1.3× 51 0.6× 17 0.2× 26 0.5× 21 458

Countries citing papers authored by Elizabeth M. Moir

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth M. Moir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth M. Moir

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