Stephen P. Wente

13 total papers · 754 total citations
10 papers, 614 citations indexed

About

Stephen P. Wente is a scholar working on Health, Toxicology and Mutagenesis, Ecology and Pollution. According to data from OpenAlex, Stephen P. Wente has authored 10 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 4 papers in Ecology and 3 papers in Pollution. Recurrent topics in Stephen P. Wente's work include Mercury impact and mitigation studies (5 papers), Heavy metals in environment (3 papers) and Heavy Metal Exposure and Toxicity (2 papers). Stephen P. Wente is often cited by papers focused on Mercury impact and mitigation studies (5 papers), Heavy metals in environment (3 papers) and Heavy Metal Exposure and Toxicity (2 papers). Stephen P. Wente collaborates with scholars based in United States. Stephen P. Wente's co-authors include Richard C. Back, K. A. Morrison, Robert J. Hudson, Carl J. Watras, Matthew M. Chumchal, Guangxing Wang, Shoufan Fang, George Z. Gertner, S. Matthew Drenner and Ray W. Drenner and has published in prestigious journals such as The Science of The Total Environment, Environmental Toxicology and Chemistry and Environmental Management.

In The Last Decade

Stephen P. Wente

9 papers receiving 575 citations

Hit Papers

Bioaccumulation of mercur... 1998 2026 2007 2016 1998 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Stephen P. Wente 536 193 173 66 36 10 614
Jon Buzitis 508 0.9× 147 0.8× 206 1.2× 85 1.3× 52 1.4× 18 652
Lia C. Chasar 522 1.0× 240 1.2× 161 0.9× 88 1.3× 73 2.0× 15 648
Colleen E. Bryan 433 0.8× 329 1.7× 90 0.5× 68 1.0× 51 1.4× 18 602
John Robert Ross 414 0.8× 74 0.4× 264 1.5× 31 0.5× 55 1.5× 26 565
B. Sjöstrand 325 0.6× 118 0.6× 67 0.4× 32 0.5× 17 0.5× 9 539
Toraya Fujiyama 578 1.1× 351 1.8× 119 0.7× 28 0.4× 40 1.1× 19 664
Francis G. Doherty 382 0.7× 243 1.3× 171 1.0× 73 1.1× 75 2.1× 18 513
D.M. Whittle 450 0.8× 149 0.8× 135 0.8× 157 2.4× 41 1.1× 23 616
P. T. Heitmuller 315 0.6× 210 1.1× 134 0.8× 26 0.4× 38 1.1× 10 550
Alain Abarnou 423 0.8× 88 0.5× 156 0.9× 21 0.3× 53 1.5× 24 536

Countries citing papers authored by Stephen P. Wente

Since Specialization
Citations

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

Fields of papers citing papers by Stephen P. Wente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. Wente. 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 Stephen P. Wente. The network helps show where Stephen P. Wente may publish in the future.

Co-authorship network of co-authors of Stephen P. Wente

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen P. Wente. A scholar is included among the top collaborators of Stephen P. Wente 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 Stephen P. Wente. Stephen P. Wente 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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