Marc W. Beutel

107 total papers · 2.5k total citations
77 papers, 1.9k citations indexed

About

Marc W. Beutel is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Environmental Chemistry. According to data from OpenAlex, Marc W. Beutel has authored 77 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pollution, 30 papers in Health, Toxicology and Mutagenesis and 24 papers in Environmental Chemistry. Recurrent topics in Marc W. Beutel's work include Mercury impact and mitigation studies (26 papers), Aquatic Ecosystems and Phytoplankton Dynamics (19 papers) and Heavy metals in environment (18 papers). Marc W. Beutel is often cited by papers focused on Mercury impact and mitigation studies (26 papers), Aquatic Ecosystems and Phytoplankton Dynamics (19 papers) and Heavy metals in environment (18 papers). Marc W. Beutel collaborates with scholars based in United States, Italy and Denmark. Marc W. Beutel's co-authors include Seyoum Yami Gebremariam, Alex J. Horne, Barry Moore, Stephen Dent, David R. Yonge, Thomas F. Hess, James B. Harsh, Markus Flury, Richard J. Watts and Pierfranco Lattanzi and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Marc W. Beutel

74 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Marc W. Beutel 689 642 517 430 386 77 1.9k
Yonghong Bi 975 1.4× 822 1.3× 586 1.1× 504 1.2× 520 1.3× 131 2.9k
Natalie Mladenov 502 0.7× 824 1.3× 585 1.1× 505 1.2× 227 0.6× 72 2.2k
Robert P. Gambrell 1.0k 1.5× 714 1.1× 457 0.9× 663 1.5× 273 0.7× 80 2.9k
Yaoyang Xu 705 1.0× 682 1.1× 218 0.4× 402 0.9× 406 1.1× 93 2.0k
Ming Kong 591 0.9× 728 1.1× 344 0.7× 344 0.8× 735 1.9× 104 2.2k
Yang Zhang 459 0.7× 956 1.5× 477 0.9× 413 1.0× 154 0.4× 99 2.5k
Honggang Zhang 486 0.7× 363 0.6× 294 0.6× 312 0.7× 250 0.6× 62 2.3k
Liuyan Yang 951 1.4× 550 0.9× 299 0.6× 509 1.2× 477 1.2× 64 2.3k
Musong Chen 744 1.1× 1.3k 2.0× 344 0.7× 387 0.9× 496 1.3× 57 2.2k
F. Andreux 810 1.2× 469 0.7× 272 0.5× 508 1.2× 146 0.4× 85 2.7k

Countries citing papers authored by Marc W. Beutel

Since Specialization
Citations

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

Fields of papers citing papers by Marc W. Beutel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc W. Beutel. 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 Marc W. Beutel. The network helps show where Marc W. Beutel may publish in the future.

Co-authorship network of co-authors of Marc W. Beutel

This figure shows the co-authorship network connecting the top 25 collaborators of Marc W. Beutel. A scholar is included among the top collaborators of Marc W. Beutel 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 Marc W. Beutel. Marc W. Beutel 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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