Alexia J. Taylor

24 total papers · 789 total citations
13 papers, 453 citations indexed

About

Alexia J. Taylor is a scholar working on Materials Chemistry, Biomedical Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Alexia J. Taylor has authored 13 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 5 papers in Biomedical Engineering and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Alexia J. Taylor's work include Nanoparticles: synthesis and applications (6 papers), Graphene and Nanomaterials Applications (4 papers) and Air Quality and Health Impacts (4 papers). Alexia J. Taylor is often cited by papers focused on Nanoparticles: synthesis and applications (6 papers), Graphene and Nanomaterials Applications (4 papers) and Air Quality and Health Impacts (4 papers). Alexia J. Taylor collaborates with scholars based in United States and China. Alexia J. Taylor's co-authors include James C. Bonner, Brian C. Sayers, Ellen E. Glista-Baker, Elizabeth A. Thompson, Kelly A. Shipkowski, Mark F. Cesta, Duncan G. Wallace, Stavros Garantziotis, Jessica P. Ryman-Rasmussen and Gregory N. Parsons and has published in prestigious journals such as ACS Nano, PLoS ONE and Environmental Health Perspectives.

In The Last Decade

Alexia J. Taylor

13 papers receiving 449 citations

Author Peers

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

Author						Papers	Cites
Alexia J. Taylor	221	166	110	96	67	13	453
Sarah Valentino	203 0.9×	246 1.5×	76 0.7×	70 0.7×	25 0.4×	17	508
Taisuke Tomonaga	171 0.8×	219 1.3×	122 1.1×	42 0.4×	35 0.5×	30	450
Jiegou Xu	235 1.1×	140 0.8×	122 1.1×	97 1.0×	42 0.6×	17	447
Susana C. Hilderbrand	177 0.8×	83 0.5×	45 0.4×	64 0.7×	120 1.8×	8	424
Yuguo Song	214 1.0×	192 1.2×	109 1.0×	105 1.1×	20 0.3×	19	523
Chikara Kadoya	243 1.1×	260 1.6×	103 0.9×	73 0.8×	34 0.5×	19	452
Liying W. Rojanasakul	230 1.0×	105 0.6×	118 1.1×	154 1.6×	20 0.3×	15	534
Paola Pedata	163 0.7×	154 0.9×	24 0.2×	80 0.8×	45 0.7×	29	527
Savvina Chortarea	172 0.8×	160 1.0×	201 1.8×	178 1.9×	34 0.5×	17	523
S Philippou	87 0.4×	79 0.5×	131 1.2×	54 0.6×	41 0.6×	20	483

Countries citing papers authored by Alexia J. Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Alexia J. Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexia J. Taylor

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