David G. Lynch

513 total citations
11 papers, 377 citations indexed

About

David G. Lynch is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Food Science. According to data from OpenAlex, David G. Lynch has authored 11 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 5 papers in Environmental Chemistry and 4 papers in Food Science. Recurrent topics in David G. Lynch's work include Pesticide Residue Analysis and Safety (4 papers), Toxic Organic Pollutants Impact (4 papers) and Per- and polyfluoroalkyl substances research (3 papers). David G. Lynch is often cited by papers focused on Pesticide Residue Analysis and Safety (4 papers), Toxic Organic Pollutants Impact (4 papers) and Per- and polyfluoroalkyl substances research (3 papers). David G. Lynch collaborates with scholars based in United States, Canada and Ireland. David G. Lynch's co-authors include Robert S. Boethling, John W. Washington, Jon A. Arnot, Keegan Rankin, Jed Costanza, E. Laurence Libelo, Mike Cyterski, Jonathan E. Naile, Thomas M. Jenkins and Vicente Gomez‐Alvarez and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Chemosphere.

In The Last Decade

David G. Lynch

11 papers receiving 358 citations

Peers

David G. Lynch
Guido Bronner Switzerland
Paul Thomas United Kingdom
Todor Kondić Luxembourg
Michelle L. Twaroski United States
Yuli Qian China
Guido Bronner Switzerland
David G. Lynch
Citations per year, relative to David G. Lynch David G. Lynch (= 1×) peers Guido Bronner

Countries citing papers authored by David G. Lynch

Since Specialization
Citations

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

Fields of papers citing papers by David G. Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Lynch. 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 David G. Lynch. The network helps show where David G. Lynch may publish in the future.

Co-authorship network of co-authors of David G. Lynch

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

All Works

11 of 11 papers shown
1.
Washington, John W., Keegan Rankin, E. Laurence Libelo, David G. Lynch, & Mike Cyterski. (2018). Determining global background soil PFAS loads and the fluorotelomer-based polymer degradation rates that can account for these loads. The Science of The Total Environment. 651(Pt 2). 2444–2449. 83 indexed citations
2.
Card, Marcella L., et al.. (2017). History of EPI Suite™ and future perspectives on chemical property estimation in US Toxic Substances Control Act new chemical risk assessments. Environmental Science Processes & Impacts. 19(3). 203–212. 71 indexed citations
3.
Washington, John W., Jonathan E. Naile, Thomas M. Jenkins, & David G. Lynch. (2014). Characterizing Fluorotelomer and Polyfluoroalkyl Substances in New and Aged Fluorotelomer-Based Polymers for Degradation Studies with GC/MS and LC/MS/MS. Environmental Science & Technology. 48(10). 5762–5769. 45 indexed citations
4.
Costanza, Jed, David G. Lynch, Robert S. Boethling, & Jon A. Arnot. (2012). Use of the bioaccumulation factor to screen chemicals for bioaccumulation potential. Environmental Toxicology and Chemistry. 31(10). 2261–2268. 67 indexed citations
5.
Boethling, Robert S. & David G. Lynch. (2006). Biodegradation of US premanufacture notice chemicals in OECD tests. Chemosphere. 66(4). 715–722. 8 indexed citations
6.
Boethling, Robert S., et al.. (2004). Using Biowin™, Bayes, and batteries to predict ready biodegradability. Environmental Toxicology and Chemistry. 23(4). 911–920. 46 indexed citations
7.
Boethling, Robert S., et al.. (2003). Predicting ready biodegradability of premanufacture notice chemicals. Environmental Toxicology and Chemistry. 22(4). 837–844. 38 indexed citations
8.
McLaren, G.F., et al.. (1996). An evaluation of sulphur for brown rot control in Central Otago stonefruit. Proceedings of the New Zealand Weed Control Conference. 49. 32–36. 2 indexed citations
9.
Lynch, David G., et al.. (1991). performance of on-line chemical property estimation methods with TSCA premanufacture notice chemicals. Ecotoxicology and Environmental Safety. 22(2). 240–249. 1 indexed citations
10.
Boethling, Robert S., et al.. (1988). Validation of CHEMEST, an on-line system for the estimation of chemical properties. Ecotoxicology and Environmental Safety. 15(1). 21–30. 8 indexed citations
11.
Lynch, David G., et al.. (1980). A heavy metal biossay based on percent spore germination of the sensitive fern,Onoclea sensibilis. Bulletin of Environmental Contamination and Toxicology. 24(1). 489–495. 8 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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