Matthew Dietrich

89 total papers · 512 total citations
30 papers, 353 citations indexed

About

Matthew Dietrich is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Sociology and Political Science. According to data from OpenAlex, Matthew Dietrich has authored 30 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pollution, 15 papers in Health, Toxicology and Mutagenesis and 8 papers in Sociology and Political Science. Recurrent topics in Matthew Dietrich's work include Heavy metals in environment (17 papers), Heavy Metal Exposure and Toxicity (11 papers) and Environmental Justice and Health Disparities (8 papers). Matthew Dietrich is often cited by papers focused on Heavy metals in environment (17 papers), Heavy Metal Exposure and Toxicity (11 papers) and Environmental Justice and Health Disparities (8 papers). Matthew Dietrich collaborates with scholars based in United States, India and China. Matthew Dietrich's co-authors include Mark P.S. Krekeler, John C. Ayers, Elisabeth Widom, Amy Wolfe, Gabriel Filippelli, John T. Shukle, Reto Gieré, Andrew J. Margenot, Leah G. Dodson and Howard W. Mielke and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Matthew Dietrich

29 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
Matthew Dietrich	199	156	73	45	38	30	353
Paul J. Harvey	154 0.8×	158 1.0×	63 0.9×	16 0.4×	28 0.7×	20	358
Qingke Yuan	105 0.5×	84 0.5×	100 1.4×	40 0.9×	15 0.4×	20	364
Xiangfen Cui	189 0.9×	145 0.9×	36 0.5×	27 0.6×	18 0.5×	23	385
Jian Liu	237 1.2×	103 0.7×	76 1.0×	18 0.4×	39 1.0×	16	361
Waleed H. Shetaya	111 0.6×	154 1.0×	34 0.5×	36 0.8×	35 0.9×	18	362
Yaling Gou	246 1.2×	111 0.7×	111 1.5×	20 0.4×	21 0.6×	14	356
Anthony Yaw Karikari	111 0.6×	61 0.4×	126 1.7×	24 0.5×	29 0.8×	21	340
Qirui An	202 1.0×	151 1.0×	51 0.7×	23 0.5×	45 1.2×	33	385
Qiannan Duan	156 0.8×	67 0.4×	59 0.8×	47 1.0×	26 0.7×	26	392
Xueping Wang	203 1.0×	133 0.9×	95 1.3×	27 0.6×	37 1.0×	27	399

Countries citing papers authored by Matthew Dietrich

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Dietrich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Dietrich

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