Vincent J. D’Aco

1.1k total citations
8 papers, 886 citations indexed

About

Vincent J. D’Aco is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Analytical Chemistry. According to data from OpenAlex, Vincent J. D’Aco has authored 8 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pollution, 4 papers in Health, Toxicology and Mutagenesis and 4 papers in Analytical Chemistry. Recurrent topics in Vincent J. D’Aco's work include Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Analytical chemistry methods development (4 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Vincent J. D’Aco is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Analytical chemistry methods development (4 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Vincent J. D’Aco collaborates with scholars based in United States, Switzerland and United Kingdom. Vincent J. D’Aco's co-authors include Paul Anderson, Eileen P. Hayes, Bradley W. Schwab, Frank Mastrocco, Virginia Cunningham, Roger D. Meyerhoff, Neil J. Parke, Mary Buzby, Daniel J. Caldwell and Jürg Oliver Straub and has published in prestigious journals such as Environmental Science & Technology, Chemosphere and Environmental Toxicology and Chemistry.

In The Last Decade

Vincent J. D’Aco

8 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent J. D’Aco United States 8 715 403 158 123 117 8 886
Koya Komori Japan 13 646 0.9× 401 1.0× 136 0.9× 133 1.1× 79 0.7× 33 759
Mitchell S. Kostich United States 10 626 0.9× 410 1.0× 137 0.9× 188 1.5× 100 0.9× 15 973
Ikumi Tamura Japan 11 801 1.1× 515 1.3× 227 1.4× 173 1.4× 119 1.0× 21 1.1k
Mark Murphy United States 7 642 0.9× 270 0.7× 129 0.8× 142 1.2× 71 0.6× 12 852
Neil J. Parke United States 7 488 0.7× 266 0.7× 101 0.6× 84 0.7× 88 0.8× 8 587
S. González-Alonso Spain 9 549 0.8× 423 1.0× 171 1.1× 92 0.7× 47 0.4× 10 787
Silvia González Alonso Spain 8 616 0.9× 309 0.8× 204 1.3× 140 1.1× 82 0.7× 12 840
Simon Webb United States 11 801 1.1× 455 1.1× 211 1.3× 154 1.3× 223 1.9× 15 1.1k
Deborah A. Grimm United States 10 694 1.0× 408 1.0× 230 1.5× 245 2.0× 141 1.2× 12 1.0k
J. Toito Canada 8 551 0.8× 291 0.7× 265 1.7× 129 1.0× 61 0.5× 13 773

Countries citing papers authored by Vincent J. D’Aco

Since Specialization
Citations

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

Fields of papers citing papers by Vincent J. D’Aco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent J. D’Aco. 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 Vincent J. D’Aco. The network helps show where Vincent J. D’Aco may publish in the future.

Co-authorship network of co-authors of Vincent J. D’Aco

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

All Works

8 of 8 papers shown
1.
2.
Straub, Jürg Oliver, et al.. (2018). Environmental risk assessment of metformin and its transformation product guanylurea. I. Environmental fate. Chemosphere. 216. 844–854. 40 indexed citations
3.
Caldwell, Daniel J., Lisa A. Constantine, Vincent J. D’Aco, et al.. (2015). Use of acute and chronic ecotoxicity data in environmental risk assessment of pharmaceuticals. Environmental Toxicology and Chemistry. 35(5). 1201–1212. 83 indexed citations
4.
Cunningham, Virginia, Vincent J. D’Aco, Paul Anderson, et al.. (2011). Predicting concentrations of trace organic compounds in municipal wastewater treatment plant sludge and biosolids using the PhATE™ model. Integrated Environmental Assessment and Management. 8(3). 530–542. 16 indexed citations
5.
Cunningham, Virginia, et al.. (2009). Human health risk assessment of carbamazepine in surface waters of North America and Europe. Regulatory Toxicology and Pharmacology. 56(3). 343–351. 84 indexed citations
6.
Hannah, Robert E., Vincent J. D’Aco, Paul Anderson, et al.. (2009). Exposure assessment of 17α-ethinylestradiol in surface waters of the United States and Europe. Environmental Toxicology and Chemistry. 28(12). 2725–2732. 82 indexed citations
7.
Schwab, Bradley W., Eileen P. Hayes, Frank Mastrocco, et al.. (2005). Human pharmaceuticals in US surface waters: A human health risk assessment. Regulatory Toxicology and Pharmacology. 42(3). 296–312. 328 indexed citations
8.
Anderson, Paul, Vincent J. D’Aco, Peter Shanahan, et al.. (2003). Screening Analysis of Human Pharmaceutical Compounds in U.S. Surface Waters. Environmental Science & Technology. 38(3). 838–849. 204 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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