Matthew Noerpel

28 total papers · 867 total citations
22 papers, 717 citations indexed

About

Matthew Noerpel is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Geochemistry and Petrology. According to data from OpenAlex, Matthew Noerpel has authored 22 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pollution, 10 papers in Health, Toxicology and Mutagenesis and 4 papers in Geochemistry and Petrology. Recurrent topics in Matthew Noerpel's work include Heavy metals in environment (18 papers), Heavy Metal Exposure and Toxicity (9 papers) and Radioactivity and Radon Measurements (3 papers). Matthew Noerpel is often cited by papers focused on Heavy metals in environment (18 papers), Heavy Metal Exposure and Toxicity (9 papers) and Radioactivity and Radon Measurements (3 papers). Matthew Noerpel collaborates with scholars based in United States, Australia and China. Matthew Noerpel's co-authors include Kirk G. Scheckel, John J. Lenhart, Liqiang Cui, James A. Ippolito, Ruiyang Xiao, Ranju R. Karna, Richard Spinney, Zongsu Wei, Hoi Ling Luk and Sang Soo Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Matthew Noerpel

22 papers receiving 710 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew Noerpel 417 262 152 128 85 22 717
Benjamin Cancès 448 1.1× 248 0.9× 222 1.5× 46 0.4× 48 0.6× 16 828
Zahra Derakhshan Nejad 532 1.3× 195 0.7× 108 0.7× 145 1.1× 22 0.3× 14 776
Hui Ming 292 0.7× 112 0.4× 104 0.7× 103 0.8× 35 0.4× 26 866
Qing Huang 376 0.9× 138 0.5× 256 1.7× 298 2.3× 91 1.1× 25 777
Byung-Tae Lee 325 0.8× 197 0.8× 184 1.2× 118 0.9× 39 0.5× 40 859
Eun-Ki Jeon 236 0.6× 112 0.4× 218 1.4× 170 1.3× 48 0.6× 15 799
Emmanuel Aubry 285 0.7× 159 0.6× 336 2.2× 69 0.5× 135 1.6× 18 693
Isha Shamshad 422 1.0× 263 1.0× 51 0.3× 137 1.1× 27 0.3× 13 681
Alexander A. Ponizovsky 508 1.2× 288 1.1× 116 0.8× 70 0.5× 25 0.3× 19 739
Shunhong Huang 295 0.7× 252 1.0× 51 0.3× 218 1.7× 51 0.6× 31 729

Countries citing papers authored by Matthew Noerpel

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Noerpel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Noerpel

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