Michaela Cashman

20 total papers · 504 total citations
16 papers, 385 citations indexed

About

Michaela Cashman is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Industrial and Manufacturing Engineering. According to data from OpenAlex, Michaela Cashman has authored 16 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 7 papers in Pollution and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Michaela Cashman's work include Microplastics and Plastic Pollution (5 papers), Nanoparticles: synthesis and applications (4 papers) and Toxic Organic Pollutants Impact (4 papers). Michaela Cashman is often cited by papers focused on Microplastics and Plastic Pollution (5 papers), Nanoparticles: synthesis and applications (4 papers) and Toxic Organic Pollutants Impact (4 papers). Michaela Cashman collaborates with scholars based in United States, Ireland and Australia. Michaela Cashman's co-authors include Robert M. Burgess, Kay T. Ho, Thomas B. Boving, Mohamed Ateia, Louis J. Kirschenbaum, Mark G. Cantwell, Yao Xiao, David R. Katz, Ashley N. Parks and Todd P. Luxton and has published in prestigious journals such as Environmental Science & Technology, Journal of Hazardous Materials and Marine Pollution Bulletin.

In The Last Decade

Michaela Cashman

16 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
Michaela Cashman	180	120	111	81	69	16	385
Xia Liu	220 1.2×	127 1.1×	92 0.8×	47 0.6×	70 1.0×	20	431
Sunantha Ganesan	100 0.6×	60 0.5×	82 0.7×	86 1.1×	49 0.7×	18	399
Muhammad Raznisyafiq Razak	204 1.1×	92 0.8×	121 1.1×	38 0.5×	54 0.8×	23	439
Jingfen Xia	130 0.7×	43 0.4×	79 0.7×	107 1.3×	31 0.4×	12	344
Swapan Khanra	147 0.8×	74 0.6×	67 0.6×	59 0.7×	45 0.7×	10	439
Pirjo Sainio	240 1.3×	155 1.3×	92 0.8×	60 0.7×	49 0.7×	10	367
Jiaji Sun	199 1.1×	107 0.9×	131 1.2×	46 0.6×	24 0.3×	19	438
Chunli Li	107 0.6×	52 0.4×	65 0.6×	96 1.2×	31 0.4×	17	438
Tsung Ming Tsao	87 0.5×	48 0.4×	107 1.0×	30 0.4×	75 1.1×	18	441
Francesca Maria Caccamo	116 0.6×	118 1.0×	73 0.7×	45 0.6×	30 0.4×	27	360

Countries citing papers authored by Michaela Cashman

Since Specialization

Citations

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

Fields of papers citing papers by Michaela Cashman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaela Cashman. 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 Michaela Cashman. The network helps show where Michaela Cashman may publish in the future.

Co-authorship network of co-authors of Michaela Cashman

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Cashman. A scholar is included among the top collaborators of Michaela Cashman 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 Michaela Cashman. Michaela Cashman 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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