Rebekah E. T. Moore

34 total papers · 592 total citations
21 papers, 483 citations indexed

About

Rebekah E. T. Moore is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Geochemistry and Petrology. According to data from OpenAlex, Rebekah E. T. Moore has authored 21 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 6 papers in Pollution and 6 papers in Geochemistry and Petrology. Recurrent topics in Rebekah E. T. Moore's work include Trace Elements in Health (6 papers), Heavy metals in environment (6 papers) and Heavy Metal Exposure and Toxicity (6 papers). Rebekah E. T. Moore is often cited by papers focused on Trace Elements in Health (6 papers), Heavy metals in environment (6 papers) and Heavy Metal Exposure and Toxicity (6 papers). Rebekah E. T. Moore collaborates with scholars based in United Kingdom, China and France. Rebekah E. T. Moore's co-authors include Mark Rehkämper, Barry J. Coles, Fiona Larner, Katharina Kreissig, Stanislav Strekopytov, Samantha J. Hammond, Ihsan Ullah, Peng Wang, Gerd Patrick Bienert and Kristian Holst Laursen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Geochimica et Cosmochimica Acta.

In The Last Decade

Rebekah E. T. Moore

19 papers receiving 476 citations

Author Peers

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

Author Last Decade Papers Cites
Rebekah E. T. Moore 169 143 116 99 88 21 483
H. R. Geering 158 0.9× 172 1.2× 49 0.4× 122 1.2× 78 0.9× 16 503
T. F. D. Mason 178 1.1× 231 1.6× 68 0.6× 33 0.3× 75 0.9× 13 527
Harry Warren 190 1.1× 45 0.3× 122 1.1× 39 0.4× 73 0.8× 40 493
Qinghua Chi 165 1.0× 155 1.1× 68 0.6× 60 0.6× 24 0.3× 36 443
Emma Humphreys‐Williams 109 0.6× 82 0.6× 129 1.1× 69 0.7× 29 0.3× 31 521
Noburu Takematsu 118 0.7× 204 1.4× 56 0.5× 36 0.4× 49 0.6× 29 425
Lanshi Nie 200 1.2× 130 0.9× 119 1.0× 70 0.7× 19 0.2× 33 489
Damien Guinoiseau 212 1.3× 269 1.9× 123 1.1× 12 0.1× 30 0.3× 21 510
María Fernanda Pïnta 243 1.4× 57 0.4× 42 0.4× 23 0.2× 79 0.9× 15 489
Katy Murphy 303 1.8× 133 0.9× 153 1.3× 10 0.1× 86 1.0× 9 443

Countries citing papers authored by Rebekah E. T. Moore

Since Specialization
Citations

This map shows the geographic impact of Rebekah E. T. 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 Rebekah E. T. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebekah E. T. Moore more than expected).

Fields of papers citing papers by Rebekah E. T. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rebekah E. T. 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 Rebekah E. T. Moore. The network helps show where Rebekah E. T. Moore may publish in the future.

Co-authorship network of co-authors of Rebekah E. T. Moore

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