T. Wayne Schultz

55 papers receiving 1.2k citations

Peers

T. Wayne Schultz
Comparison fields: 5 of 120
  • Computational Theory and Mathematics 618
  • Health, Toxicology and Mutagenesis 422
  • Pollution 211
  • Chemical Health and Safety 8
  • Spectroscopy 193
Replace Simona Kovarich with:
Simona Kovarich Italy
Stefano Cassani Italy
Alessandra Roncaglioni Italy
Robert L. Lipnick United States
Ralf‐Uwe Ebert Germany
R.M. McDowell United States
Manuela Pavan Italy
Tatiana I. Netzeva United Kingdom
Indrani Mitra India
Cecilia Bossa Italy
T. Wayne Schultz relative to Simona Kovarich Italy Simona Kovarich's profile →
Citations per field
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Citations per year

Countries citing papers authored by T. Wayne Schultz

Since Specialization
Citations

This map shows the geographic impact of T. Wayne Schultz'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 T. Wayne Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Wayne Schultz more than expected).

Fields of papers citing papers by T. Wayne Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Wayne Schultz. 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 T. Wayne Schultz. The network helps show where T. Wayne Schultz may publish in the future.

Co-authors

The 25 scholars most cited alongside T. Wayne Schultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Wayne Schultz Line = papers co-authored together T. Wayne Schultz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998121
2 200174
3 200160
4 200859
5 199755
6 200450
7 200549
8 198548
9 200546
10 199842
11 199541
12 200837
13 200336
14 199736
15 199930
16 200730
17 199930
18 198229
19 198928
20 200327

About T. Wayne Schultz

T. Wayne Schultz is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics, Organic Chemistry, Molecular Biology and Pollution, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Environmental Toxicology and Ecotoxicology (14 papers), Analytical Chemistry and Chromatography (8 papers), Free Radicals and Antioxidants (8 papers), Toxic Organic Pollutants Impact (7 papers), Chemical Reaction Mechanisms (6 papers), Pesticide and Herbicide Environmental Studies (5 papers) and Microbial bioremediation and biosurfactants (4 papers). The work is most often cited by research in Computational Theory and Mathematics (618 citations), Health, Toxicology and Mutagenesis (422 citations), Pollution (211 citations), Chemical Health and Safety (8 citations) and Spectroscopy (193 citations). T. Wayne Schultz has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include M Cronin, Glendon D. Sinks, Tatiana I. Netzeva, B. Gregory, Jiřı́ Damborský, Julie R. Seward, Aynur O. Aptula, Jason Yarbrough, Judith C. Madden and David W. Roberts. Their work appears in journals such as SAR and QSAR in environmental research, Environmental Toxicology and Chemistry, Bulletin of Environmental Contamination and Toxicology, Ecotoxicology and Environmental Safety and Archives of Environmental Contamination and Toxicology.

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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