William M. Meylan
- Health, Toxicology and Mutagenesis top 0.5%
- Pollution top 1%
- Computational Theory and Mathematics top 1%
- Spectroscopy top 2%
- Organic Chemistry top 5%
- Co-authors
- Philip H. HowardRobert S. BoethlingJulie A. FunkDallas AronsonWilliam StitelerJulie A. BeaumanJay TunkelJon A. Arnot
- Topics
- Water Quality Monitoring and Analysis (5 papers)Environmental Toxicology and Ecotoxicology (5 papers)Pesticide and Herbicide Environmental Studies (4 papers)
- Partner nations
- United StatesCanadaGhana
In The Last Decade
William M. Meylan
32 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Health, Toxicology and Mutagenesis 1.1k
- Pollution 813
- Computational Theory and Mathematics 585
- Spectroscopy 534
- Organic Chemistry 365
Countries citing papers authored by William M. Meylan
This map shows the geographic impact of William M. Meylan'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 M. Meylan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Meylan more than expected).
Fields of papers citing papers by William M. Meylan
This network shows the impact of papers produced by William M. Meylan. 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 M. Meylan. The network helps show where William M. Meylan may publish in the future.
Co-authorship network of co-authors of William M. Meylan
This figure shows the co-authorship network connecting the top 25 collaborators of William M. Meylan. A scholar is included among the top collaborators of William M. Meylan 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 M. Meylan. William M. Meylan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 122 | |
| 3 | 21 | |
| 4 | 70 | |
| 5 | 59 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 346 | |
| 9 | 185 | |
| 10 | Atom/Fragment Contribution Method for Estimating Octanol–Water Partition Coefficientsbreakdown → | 723 |
| 11 | 13 | |
| 12 | 185 | |
| 13 | 145 | |
| 14 | 3 | |
| 15 | 31 | |
| 16 | 10 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | INVESTIGATION OF SELECTED POTENTIAL ENVIRONMENTAL CONTAMINANTS: STYRENE, ETHYLBENZENE, AND RELATED COMPOUNDS | 4 |
| 20 | Information Profiles on Potential Occupational Hazards | 5 |
About William M. Meylan
William M. Meylan is a scholar working on Chemical Health and Safety, Pollution and Process Chemistry and Technology, having authored 32 papers that have together received 3.0k indexed citations. Recurring topics across this work include Water Quality Monitoring and Analysis (5 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Pesticide and Herbicide Environmental Studies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.1k citations), Pollution (813 citations) and Computational Theory and Mathematics (585 citations). William M. Meylan has collaborated with scholars based in United States, Canada and Ghana. Frequent co-authors include Philip H. Howard, Robert S. Boethling, Julie A. Funk, Dallas Aronson, William Stiteler, Julie A. Beauman, Jay Tunkel, Jon A. Arnot, Don Mackay and Mark Bonnell. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Chemosphere.
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.