Don Forsyth

406 total citations
11 papers, 341 citations indexed

About

Don Forsyth is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Chemistry. According to data from OpenAlex, Don Forsyth has authored 11 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 3 papers in Pollution and 3 papers in Environmental Chemistry. Recurrent topics in Don Forsyth's work include Heavy Metal Exposure and Toxicity (4 papers), Analytical chemistry methods development (3 papers) and Mercury impact and mitigation studies (3 papers). Don Forsyth is often cited by papers focused on Heavy Metal Exposure and Toxicity (4 papers), Analytical chemistry methods development (3 papers) and Mercury impact and mitigation studies (3 papers). Don Forsyth collaborates with scholars based in Canada and Austria. Don Forsyth's co-authors include Sheryl A. Tittlemier, Zhongwen Wang, Robert Dabeka, Arthur D Mckenzie, Valerie Casey, Guy Dufresne, Luc G. Pelletier, Benjamin P.‐Y. Lau, Dean W. Gaertner and Laurie Coady and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Analytical and Bioanalytical Chemistry and Journal of Toxicology and Environmental Health.

In The Last Decade

Don Forsyth

11 papers receiving 334 citations

Peers

Don Forsyth

HTM

POLLU

AC

MB

PHARM

Chantal Cléroux Canada

Yunfeng Zhao China

Gisela Holm Sweden

Aline Brosseaud France

Elena Baralla Italy

Valerie Casey Canada

Agnethe Christiansen Norway

Bettina Rechenberg Germany

Jenna Corcoran United Kingdom

Yi Yin China

Chantal Cléroux Canada

Don Forsyth

88 ×0.4

HTM

42 ×0.7

POLLU

83 ×1.5

AC

127 ×2.4

MB

27 ×0.6

PHARM

Citations per year, relative to Don Forsyth Don Forsyth (= 1×) peers Chantal Cléroux

Countries citing papers authored by Don Forsyth

Since Specialization

Citations

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

Fields of papers citing papers by Don Forsyth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Don Forsyth

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

All Works

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11 of 11 papers shown

1.

Kawakatsu, Hitoshi, Göran Ekström, Robin J. Evans, et al.. (2016). Pacific Array (Transportable Broadband Ocean Floor Array). EGU General Assembly Conference Abstracts. 2 indexed citations

2.

Wang, Zhongwen, et al.. (2014). Determination of Arsenic Species in Fruit Juice and Fruit Drink Products Using Ion Pair Chromatography Coupled to Inductively Coupled Plasma Mass Spectrometry. Food Analytical Methods. 8(1). 173–179. 12 indexed citations

3.

Wang, Zhongwen & Don Forsyth. (2012). Methods for the Determination of Arsenic Speciation in Rice: A Review. 3 indexed citations

4.

Wang, Zhongwen, et al.. (2012). Comparison of Two Analytical Methods for the Analysis of Methylmercury in Fish. Food Analytical Methods. 6(1). 157–163. 11 indexed citations

5.

Krska, Rudolf, Adam Becalski, Eric Braekevelt, et al.. (2011). Challenges and trends in the determination of selected chemical contaminants and allergens in food. Analytical and Bioanalytical Chemistry. 402(1). 139–162. 57 indexed citations

6.

Wang, Zhongwen, et al.. (2009). Estimated Dietary Exposure of Canadians to Perchlorate through the Consumption of Fruits and Vegetables Available in Ottawa Markets. Journal of Agricultural and Food Chemistry. 57(19). 9250–9255. 51 indexed citations

7.

Cooke, Gerard M., et al.. (2008). Organotin Speciation and Tissue Distribution in Rat Dams, Fetuses, and Neonates Following Oral Administration of Tributyltin Chloride. Journal of Toxicology and Environmental Health. 71(6). 384–395. 49 indexed citations

8.

Dufresne, Guy, et al.. (2007). Multiresidue Determination of Quinolone and Fluoroquinolone Antibiotics in Fish and Shrimp by Liquid Chromatography/Tandem Mass Spectrometry. Journal of AOAC International. 90(2). 604–612. 52 indexed citations

9.

Forsyth, Don, Valerie Casey, Robert Dabeka, & Arthur D Mckenzie. (2004). Methylmercury levels in predatory fish species marketed in Canada. Food Additives & Contaminants. 21(9). 849–856. 55 indexed citations

10.

Tittlemier, Sheryl A., et al.. (2004). Polybrominated Diphenyl Ethers in Retail Fish and Shellfish Samples Purchased from Canadian Markets. Journal of Agricultural and Food Chemistry. 52(25). 7740–7745. 44 indexed citations

11.

Forsyth, Don, et al.. (2002). Detection of organotin, organomercury, and organolead compounds with a pulsed discharge detector (PDD). Analytical and Bioanalytical Chemistry. 374(2). 344–347. 5 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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