Mark G. Cantwell

3.1k total citations
88 papers, 2.4k citations indexed

About

Mark G. Cantwell is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Atmospheric Science. According to data from OpenAlex, Mark G. Cantwell has authored 88 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Health, Toxicology and Mutagenesis, 47 papers in Pollution and 14 papers in Atmospheric Science. Recurrent topics in Mark G. Cantwell's work include Toxic Organic Pollutants Impact (48 papers), Environmental Toxicology and Ecotoxicology (26 papers) and Pharmaceutical and Antibiotic Environmental Impacts (22 papers). Mark G. Cantwell is often cited by papers focused on Toxic Organic Pollutants Impact (48 papers), Environmental Toxicology and Ecotoxicology (26 papers) and Pharmaceutical and Antibiotic Environmental Impacts (22 papers). Mark G. Cantwell collaborates with scholars based in United States, Ireland and Australia. Mark G. Cantwell's co-authors include Robert M. Burgess, Kay T. Ho, Monique M. Perron, David R. Katz, Rainer Lohmann, Marguerite C. Pelletier, Julia C. Sullivan, John W. King, Jonathan R. Serbst and Anne Kuhn and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Mark G. Cantwell

87 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark G. Cantwell United States 30 1.5k 1.2k 474 271 234 88 2.4k
Roberta Bettinetti Italy 28 1.1k 0.7× 1.1k 0.9× 446 0.9× 213 0.8× 156 0.7× 106 2.5k
Chon‐Lin Lee Taiwan 30 1.4k 0.9× 1.1k 0.9× 263 0.6× 449 1.7× 106 0.5× 97 2.6k
Ziwei Yao China 28 1.2k 0.8× 1.2k 1.0× 272 0.6× 226 0.8× 95 0.4× 83 2.2k
Georg Hanke Italy 30 1.3k 0.9× 2.0k 1.6× 501 1.1× 239 0.9× 81 0.3× 49 3.1k
Yong Ran China 33 2.0k 1.4× 1.6k 1.3× 271 0.6× 225 0.8× 107 0.5× 87 3.3k
Karl J. Rockne United States 32 2.1k 1.4× 1.6k 1.4× 620 1.3× 313 1.2× 81 0.3× 82 3.2k
Qinghui Huang China 26 1.0k 0.7× 1.0k 0.9× 341 0.7× 129 0.5× 152 0.6× 98 2.3k
Esteban Abad Spain 37 2.9k 1.9× 1.4k 1.1× 316 0.7× 327 1.2× 221 0.9× 128 4.1k
Anna Sobek Sweden 28 1.1k 0.8× 681 0.6× 325 0.7× 173 0.6× 93 0.4× 73 1.8k
Xinhong Wang China 37 2.6k 1.7× 1.8k 1.5× 974 2.1× 739 2.7× 215 0.9× 156 4.1k

Countries citing papers authored by Mark G. Cantwell

Since Specialization
Citations

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

Fields of papers citing papers by Mark G. Cantwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark G. Cantwell

This figure shows the co-authorship network connecting the top 25 collaborators of Mark G. Cantwell. A scholar is included among the top collaborators of Mark G. Cantwell 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 Mark G. Cantwell. Mark G. Cantwell 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.
Burgess, Robert M., et al.. (2023). Occurrence and Bioaccumulation Patterns of Per- and Polyfluoroalkyl Substances (PFAS) in the Marine Environment. ACS ES&T Water. 3(5). 1243–1259. 84 indexed citations
2.
Cantwell, Mark G., et al.. (2023). New insights on black carbon in pelagic Atlantic sediments. Marine Chemistry. 257. 104312–104312. 4 indexed citations
3.
4.
Cantwell, Mark G., David R. Katz, Julia C. Sullivan, & Anne Kuhn. (2019). Evaluation of the artificial sweetener sucralose as a sanitary wastewater tracer in Narragansett Bay, Rhode Island, USA. Marine Pollution Bulletin. 146. 711–717. 23 indexed citations
5.
Cantwell, Mark G., et al.. (2018). Evaluation of wastewater tracers to predict pharmaceutical distributions and behavior in the Long Island Sound estuary. Chemosphere. 220. 629–636. 13 indexed citations
6.
Khan, Mohsin Vahid, et al.. (2018). Cellular responses to in vitro exposures to β-blocking pharmaceuticals in hard clams and Eastern oysters. Chemosphere. 211. 360–370. 16 indexed citations
7.
Cantwell, Mark G., David R. Katz, Julia C. Sullivan, et al.. (2017). Spatial patterns of pharmaceuticals and wastewater tracers in the Hudson River Estuary. Water Research. 137. 335–343. 109 indexed citations
8.
Kreakie, Betty J., et al.. (2017). A Random Forest approach to predict the spatial distribution of sediment pollution in an estuarine system. PLoS ONE. 12(7). e0179473–e0179473. 33 indexed citations
9.
Cantwell, Mark G., et al.. (2016). Caffeine in Boston Harbor past and present, assessing its utility as a tracer of wastewater contamination in an urban estuary. Marine Pollution Bulletin. 108(1-2). 321–324. 27 indexed citations
10.
Cantwell, Mark G., et al.. (2014). Black carbon concentrations and sources in the marine boundary layer of the tropical Atlantic Ocean using four methodologies. Atmospheric chemistry and physics. 14(14). 7431–7443. 29 indexed citations
11.
Katz, David R., Mark G. Cantwell, Julia C. Sullivan, et al.. (2012). Factors regulating the accumulation and spatial distribution of the emerging contaminant triclosan in the sediments of an urbanized estuary: Greenwich Bay, Rhode Island, USA. The Science of The Total Environment. 443. 123–133. 34 indexed citations
12.
Jayaraman, Saro, et al.. (2011). High performance liquid chromatographic analysis of phytoplankton pigments using a C16-Amide column. Journal of Chromatography A. 1218(22). 3432–3438. 10 indexed citations
13.
Burgess, Robert M., Steven B. Hawthorne, Monique M. Perron, et al.. (2010). Assessment of supercritical fluid extraction use in whole sediment toxicity identification evaluations. Environmental Toxicology and Chemistry. 30(4). 819–827. 6 indexed citations
14.
Wilson, Brittan A., Jun Zhu, Mark G. Cantwell, & Curtis R. Olsen. (2008). Short-term dynamics and retention of Triclosan in the lower Hudson River Estuary. Marine Pollution Bulletin. 56(6). 1230–1233. 24 indexed citations
15.
Cantwell, Mark G. & Robert M. Burgess. (2004). Variability of parameters measured during the resuspension of sediments with a particle entrainment simulator. Chemosphere. 56(1). 51–58. 29 indexed citations
16.
Serbst, Jonathan R., Robert M. Burgess, Anne Kuhn, et al.. (2003). Precision of Dialysis (Peeper) Sampling of Cadmium in Marine Sediment Interstitial Water. Archives of Environmental Contamination and Toxicology. 45(3). 297–305. 13 indexed citations
17.
Ho, Kay T., Robert M. Burgess, Marguerite C. Pelletier, et al.. (2002). An overview of toxicant identification in sediments and dredged materials. Marine Pollution Bulletin. 44(4). 286–293. 87 indexed citations
18.
19.
Berry, Walter, et al.. (1999). Predicting toxicity of sediments spiked with silver. Environmental Toxicology and Chemistry. 18(1). 40–48. 34 indexed citations
20.
Berry, Walter, et al.. (1999). PREDICTING TOXICITY OF SEDIMENTS SPIKED WITH SILVER. Environmental Toxicology and Chemistry. 18(1). 40–40. 2 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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