Claire R. Lay

33 total papers · 824 total citations
24 papers, 637 citations indexed

About

Claire R. Lay is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Plant Science. According to data from OpenAlex, Claire R. Lay has authored 24 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 7 papers in Pollution and 4 papers in Plant Science. Recurrent topics in Claire R. Lay's work include Toxic Organic Pollutants Impact (13 papers), Environmental Toxicology and Ecotoxicology (9 papers) and Oil Spill Detection and Mitigation (6 papers). Claire R. Lay is often cited by papers focused on Toxic Organic Pollutants Impact (13 papers), Environmental Toxicology and Ecotoxicology (9 papers) and Oil Spill Detection and Mitigation (6 papers). Claire R. Lay collaborates with scholars based in United States, France and United Kingdom. Claire R. Lay's co-authors include Jeffrey M. Morris, Heather P. Forth, Michelle O. Krasnec, Pamela K. Diggle, Yan B. Linhart, John P. Incardona, Tiffany L. Linbo, Edward M. Mager, Robert J. Griffitt and Ronald H. Hoenig and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Claire R. Lay

23 papers receiving 628 citations

Author Peers

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

Author						Papers	Cites
Claire R. Lay	399	192	112	94	83	24	637
Michele A. Cochran	387 1.0×	109 0.6×	115 1.0×	49 0.5×	150 1.8×	15	732
William G. Wallace	592 1.5×	356 1.9×	72 0.6×	79 0.8×	214 2.6×	29	776
Michael D. Paine	202 0.5×	144 0.8×	68 0.6×	169 1.8×	142 1.7×	28	561
Silvia Mohr	253 0.6×	206 1.1×	39 0.3×	73 0.8×	184 2.2×	26	660
Kristine Maraldo	246 0.6×	145 0.8×	96 0.9×	76 0.8×	286 3.4×	26	745
Alexa C. Alexander	216 0.5×	163 0.8×	84 0.8×	112 1.2×	175 2.1×	24	689
Arthur de Lemos Scofield	363 0.9×	296 1.5×	73 0.7×	18 0.2×	77 0.9×	22	584
Manuela Bassoi	225 0.6×	87 0.5×	114 1.0×	69 0.7×	386 4.7×	23	604
Hugo Ochoa‐Acuña	336 0.8×	241 1.3×	56 0.5×	48 0.5×	219 2.6×	28	768
John M. Macauley	309 0.8×	178 0.9×	61 0.5×	35 0.4×	160 1.9×	23	577

Countries citing papers authored by Claire R. Lay

Since Specialization

Citations

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

Fields of papers citing papers by Claire R. Lay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire R. Lay

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