William Stiteler

1.5k total citations
24 papers, 1.1k citations indexed

About

William Stiteler is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Ecology. According to data from OpenAlex, William Stiteler has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pollution, 6 papers in Health, Toxicology and Mutagenesis and 3 papers in Ecology. Recurrent topics in William Stiteler's work include Microbial bioremediation and biosurfactants (3 papers), Environmental Toxicology and Ecotoxicology (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). William Stiteler is often cited by papers focused on Microbial bioremediation and biosurfactants (3 papers), Environmental Toxicology and Ecotoxicology (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). William Stiteler collaborates with scholars based in United States and Netherlands. William Stiteler's co-authors include Philip H. Howard, Robert S. Boethling, William M. Meylan, Julie A. Beauman, Jay Tunkel, H. Loonen, Dallas Aronson, G. P. Patil, László Orlóci and C. R. Rao and has published in prestigious journals such as Journal of the American Statistical Association, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

William Stiteler

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Stiteler United States 15 470 470 180 179 123 24 1.1k
Larry T. Brooke United States 20 485 1.0× 939 2.0× 149 0.8× 221 1.2× 65 0.5× 39 1.5k
Hans Könemann Netherlands 7 346 0.7× 844 1.8× 179 1.0× 317 1.8× 102 0.8× 8 1.3k
Monika Nendza Germany 19 411 0.9× 696 1.5× 163 0.9× 360 2.0× 81 0.7× 47 1.4k
Jack de Bruijn Netherlands 16 504 1.1× 823 1.8× 164 0.9× 195 1.1× 89 0.7× 23 1.4k
Daniel J. Call United States 25 800 1.7× 1.4k 3.1× 210 1.2× 349 1.9× 98 0.8× 53 2.1k
D. Osborn United Kingdom 26 668 1.4× 1.2k 2.5× 138 0.8× 96 0.5× 77 0.6× 75 2.0k
Theo L. Sinnige Netherlands 20 495 1.1× 823 1.8× 113 0.6× 65 0.4× 124 1.0× 30 1.3k
Mark Bonnell Canada 19 658 1.4× 1.2k 2.5× 245 1.4× 141 0.8× 70 0.6× 28 1.5k
Gary L. Phipps United States 21 693 1.5× 1.1k 2.3× 191 1.1× 93 0.5× 50 0.4× 28 1.4k
Peter Leeuwangh Netherlands 16 522 1.1× 802 1.7× 237 1.3× 95 0.5× 36 0.3× 25 1.2k

Countries citing papers authored by William Stiteler

Since Specialization
Citations

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

Fields of papers citing papers by William Stiteler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Stiteler

This figure shows the co-authorship network connecting the top 25 collaborators of William Stiteler. A scholar is included among the top collaborators of William Stiteler 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 William Stiteler. William Stiteler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Aronson, Dallas, Robert S. Boethling, Philip H. Howard, & William Stiteler. (2005). Estimating biodegradation half-lives for use in chemical screening. Chemosphere. 63(11). 1953–1960. 121 indexed citations
3.
Howard, Philip H., William M. Meylan, Dallas Aronson, et al.. (2005). A new biodegradation prediction model specific to petroleum hydrocarbons. Environmental Toxicology and Chemistry. 24(8). 1847–1860. 59 indexed citations
4.
Stiteler, William. (2003). Land cover characterization using evolutionary and adaptive computing. PhDT.
5.
Choudhury, Harlal, et al.. (2001). URINARY CADMIUM ELIMINATION AS A BIOMARKER OF EXPOSURE FOR EVALUATING A CADMIUM DIETARY EXPOSURE - BIOKINETICS MODEL. Journal of Toxicology and Environmental Health. 63(5). 321–350. 105 indexed citations
6.
Teuschler, Linda K., Chris Gennings, William Stiteler, et al.. (2000). A MULTIPLE-PURPOSE DESIGN APPROACH TO THE EVALUATION OF RISKS FROM MIXTURES OF DISINFECTION BY-PRODUCTS*. Drug and Chemical Toxicology. 23(1). 307–321. 19 indexed citations
7.
Tunkel, Jay, Philip H. Howard, Robert S. Boethling, William Stiteler, & H. Loonen. (2000). PREDICTING READY BIODEGRADABILITY IN THE JAPANESE MINISTRY OF INTERNATIONAL TRADE AND INDUSTRY TEST. Environmental Toxicology and Chemistry. 19(10). 2478–2478. 91 indexed citations
8.
Tunkel, Jay, Philip H. Howard, Robert S. Boethling, William Stiteler, & H. Loonen. (2000). Predicting ready biodegradability in the Japanese ministry of international trade and industry test. Environmental Toxicology and Chemistry. 19(10). 2478–2485. 109 indexed citations
9.
Teuschler, Linda K., Michael L. Dourson, William Stiteler, Peter R McClure, & Heather Tully. (1999). Health Risk above the Reference Dose for Multiple Chemicals. Regulatory Toxicology and Pharmacology. 30(2). S19–S26. 23 indexed citations
10.
Dourson, Michael L., et al.. (1997). Categorical Regression of Toxicity Data: A Case Study Using Aldicarb. Regulatory Toxicology and Pharmacology. 25(2). 121–129. 24 indexed citations
11.
Durkin, Patrick, Richard C. Hertzberg, William Stiteler, & Moiz Mumtaz. (1995). The identification and testing of interaction patterns. Toxicology Letters. 79(1-3). 251–264. 11 indexed citations
12.
13.
Boethling, Robert S., et al.. (1994). Group contribution method for predicting probability and rate of aerobic biodegradation. Environmental Science & Technology. 28(3). 459–465. 185 indexed citations
14.
Stiteler, William, et al.. (1993). A Statistical Test of Compatibility of Data Sets to a Common Dose-Response Model. Regulatory Toxicology and Pharmacology. 18(3). 392–402. 4 indexed citations
15.
Howard, Philip H., et al.. (1992). PREDICTIVE MODEL FOR AEROBIC BIODEGRADABILITY DEVELOPED FROM A FILE OF EVALUATED BIODEGRADATION DATA. Environmental Toxicology and Chemistry. 11(5). 593–593. 3 indexed citations
16.
Howard, Philip H., Robert S. Boethling, William Stiteler, William M. Meylan, & Julie A. Beauman. (1991). Development of a predictive model for biodegradability based on BIODEG, the evaluated biodegradation data base. The Science of The Total Environment. 109-110. 635–641. 31 indexed citations
17.
Stiteler, William, et al.. (1988). Migratory patterns of different indium-111 labeled leukocyte populations (chiefly lymphocytes) from control and thymectomized rats.. PubMed. 29(1). 83–90. 4 indexed citations
18.
Dagnelie, P., László Orlóci, C. R. Rao, & William Stiteler. (1982). Multivariate Methods in Ecological Work. Biometrics. 38(2). 526–526. 41 indexed citations
19.
Krzanowski, W. J., László Orlóci, C. R. Rao, & William Stiteler. (1982). Multivariate Methods in Ecological Work.. Journal of Applied Ecology. 19(1). 317–317. 13 indexed citations
20.
Cormack, R. M., László Orlóci, C. R. Rao, & William Stiteler. (1982). Multivariate Methods in Ecological Work.. Journal of the Royal Statistical Society Series A (General). 145(1). 142–142. 41 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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