Stephen P. Wente

756 total citations · 1 hit paper
10 papers, 619 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 619 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 Carl J. Watras, K. A. Morrison, Robert J. Hudson, Richard C. Back, Shoufan Fang, S. Matthew Drenner, Guangxing Wang, George Z. Gertner, Matthew M. Chumchal 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 580 citations

Hit Papers

Bioaccumulation of mercury in pelagic freshwater food webs 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen P. Wente United States 6 539 194 174 66 36 10 619
John Robert Ross United States 11 415 0.8× 74 0.4× 264 1.5× 31 0.5× 55 1.5× 26 565
Tércia G. Seixas Brazil 19 696 1.3× 346 1.8× 254 1.5× 58 0.9× 67 1.9× 28 815
Lia C. Chasar United States 12 526 1.0× 240 1.2× 161 0.9× 88 1.3× 73 2.0× 15 649
Alain Abarnou France 13 421 0.8× 87 0.4× 156 0.9× 21 0.3× 53 1.5× 24 535
D.M. Whittle Canada 14 450 0.8× 149 0.8× 135 0.8× 157 2.4× 41 1.1× 23 616
Silvana Galassi Italy 16 362 0.7× 140 0.7× 216 1.2× 72 1.1× 39 1.1× 28 601
S. N. Abreu Portugal 14 486 0.9× 119 0.6× 269 1.5× 24 0.4× 37 1.0× 27 604
M. Amorim Brazil 6 587 1.1× 96 0.5× 331 1.9× 58 0.9× 20 0.6× 6 693
K. A. Morrison United States 16 1.1k 2.1× 311 1.6× 407 2.3× 99 1.5× 58 1.6× 29 1.3k
P. T. Heitmuller United States 7 315 0.6× 211 1.1× 134 0.8× 26 0.4× 38 1.1× 10 551

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

10 of 10 papers shown
1.
Drenner, Ray W., et al.. (2011). Landscape-level patterns of mercury contamination of fish in North Texas, USA. Environmental Toxicology and Chemistry. 30(9). 2041–2045. 18 indexed citations
2.
Hearn, P.P., et al.. (2006). EMMMA: A web-based system for environmental mercury mapping, modeling, and analysis. Antarctica A Keystone in a Changing World. 6 indexed citations
3.
Christensen, Victoria G., Stephen P. Wente, Mark B. Sandheinrich, & Mark E. Brigham. (2006). Spatial variations in fish-tissue mercury concentrations in the St. Croix River basin, Minnesota and Wisconsin, 2004. Scientific investigations report. 5 indexed citations
5.
Fang, Shoufan, et al.. (2002). Uncertainty Analysis of Predicted Disturbance from Off-Road Vehicular Traffic in Complex Landscapes at Fort Hood. Environmental Management. 30(2). 199–208. 20 indexed citations
6.
Wente, Stephen P., et al.. (2001). Occurrence and Distribution of Freshwater Mussels in Small Streams of Tippecanoe County, Indiana. Proceedings of the Indiana Academy of Science. 110. 141–150. 3 indexed citations
7.
Wente, Stephen P.. (2000). PROXIMITY-BASED MEASURE OF LAND USE IMPACTS TO AQUATIC ECOSYSTEM INTEGRITY. Environmental Toxicology and Chemistry. 19(4). 1148–1148. 3 indexed citations
8.
Wente, Stephen P.. (2000). Proximity-based measure of land use impacts to aquatic ecosystem integrity. Environmental Toxicology and Chemistry. 19(4). 1148–1152. 8 indexed citations
9.
Watras, Carl J., et al.. (1998). Bioaccumulation of mercury in pelagic freshwater food webs. The Science of The Total Environment. 219(2-3). 183–208. 530 indexed citations breakdown →
10.
Wente, Stephen P.. (1997). A spatially and temporally variable model of mercury concentrations in aquatic communities with applications to public health protection and water quality assessment. Purdue e-Pubs (Purdue University System). 1 indexed citations

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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