Mark Bonnell

1.9k total citations
28 papers, 1.5k citations indexed

About

Mark Bonnell is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Computational Theory and Mathematics. According to data from OpenAlex, Mark Bonnell has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, Toxicology and Mutagenesis, 18 papers in Pollution and 4 papers in Computational Theory and Mathematics. Recurrent topics in Mark Bonnell's work include Environmental Toxicology and Ecotoxicology (19 papers), Pharmaceutical and Antibiotic Environmental Impacts (13 papers) and Toxic Organic Pollutants Impact (13 papers). Mark Bonnell is often cited by papers focused on Environmental Toxicology and Ecotoxicology (19 papers), Pharmaceutical and Antibiotic Environmental Impacts (13 papers) and Toxic Organic Pollutants Impact (13 papers). Mark Bonnell collaborates with scholars based in Canada, United States and Netherlands. Mark Bonnell's co-authors include Jon A. Arnot, Don Mackay, Thomas F. Parkerton, Cathy J. Keddy, Joseph C. Greene, S. Dimitrov, Miriam L. Diamond, Roxana Sühring, Xianming Zhang and Robert S. Boethling and has published in prestigious journals such as Environmental Science & Technology, Environmental Health Perspectives and Chemosphere.

In The Last Decade

Mark Bonnell

27 papers receiving 1.5k 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 Bonnell Canada 19 1.2k 658 245 141 117 28 1.5k
Elin M. Ulrich United States 19 1.2k 1.1× 570 0.9× 136 0.6× 81 0.6× 291 2.5× 32 1.8k
Noriyuki Suzuki Japan 22 1.0k 0.9× 410 0.6× 290 1.2× 131 0.9× 62 0.5× 78 1.6k
Maria König Germany 22 862 0.7× 552 0.8× 176 0.7× 107 0.8× 189 1.6× 59 1.5k
William J. Doucette United States 24 889 0.8× 1000 1.5× 149 0.6× 106 0.8× 90 0.8× 70 2.1k
L.S. McCarty Canada 32 2.2k 1.9× 1.2k 1.8× 264 1.1× 153 1.1× 141 1.2× 61 2.9k
Kent B. Woodburn United States 24 988 0.8× 563 0.9× 219 0.9× 32 0.2× 73 0.6× 48 1.6k
Sara Villa Italy 32 1.3k 1.1× 954 1.4× 457 1.9× 68 0.5× 135 1.2× 87 2.3k
Jack de Bruijn Netherlands 16 823 0.7× 504 0.8× 164 0.7× 195 1.4× 122 1.0× 23 1.4k
Antonio Finizio Italy 30 1.6k 1.3× 1.2k 1.9× 394 1.6× 146 1.0× 132 1.1× 82 2.8k
Matthias Grote Germany 13 783 0.7× 696 1.1× 177 0.7× 46 0.3× 82 0.7× 21 1.3k

Countries citing papers authored by Mark Bonnell

Since Specialization
Citations

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

Fields of papers citing papers by Mark Bonnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Bonnell

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Bonnell. A scholar is included among the top collaborators of Mark Bonnell 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 Bonnell. Mark Bonnell 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
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Mitchell, Constance A., Natalie Burden, Mark Bonnell, et al.. (2023). New Approach Methodologies for the Endocrine Activity Toolbox: Environmental Assessment for Fish and Amphibians. Environmental Toxicology and Chemistry. 42(4). 757–777. 18 indexed citations
3.
Zaleski, Rosemary, Andreas Ahrens, Jon A. Arnot, et al.. (2023). Quantitative Structure Use Relationships: Highlights from a technical summit meeting. Regulatory Toxicology and Pharmacology. 145. 105516–105516.
4.
Cronin, M, Mark Bonnell, Bruno Campos, et al.. (2022). A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties. Regulatory Toxicology and Pharmacology. 135. 105249–105249. 13 indexed citations
5.
Firman, James W., Geoff Hodges, Bruno Campos, et al.. (2022). Construction of an In Silico Structural Profiling Tool Facilitating Mechanistically Grounded Classification of Aquatic Toxicants. Environmental Science & Technology. 56(24). 17805–17814. 6 indexed citations
6.
Bonnell, Mark, et al.. (2021). Deriving predicted no-effect concentrations (PNECs) using a novel assessment factor method. Human and Ecological Risk Assessment An International Journal. 27(6). 1613–1635. 13 indexed citations
7.
Bonnell, Mark, Bruno Campos, James W. Firman, et al.. (2021). Development of an Enhanced Mechanistically Driven Mode of Action Classification Scheme for Adverse Effects on Environmental Species. Environmental Science & Technology. 55(3). 1897–1907. 13 indexed citations
8.
Connors, Kristin A., Amy Beasley, Mace G. Barron, et al.. (2019). Creation of a Curated Aquatic Toxicology Database: EnviroTox. Environmental Toxicology and Chemistry. 38(5). 1062–1073. 78 indexed citations
9.
Kienzler, Aude, Kristin A. Connors, Mark Bonnell, et al.. (2019). Mode of Action Classifications in the EnviroTox Database: Development and Implementation of a Consensus MOA Classification. Environmental Toxicology and Chemistry. 38(10). 2294–2304. 38 indexed citations
10.
Bonnell, Mark, et al.. (2017). Fate and exposure modeling in regulatory chemical evaluation: new directions from retrospection. Environmental Science Processes & Impacts. 20(1). 20–31. 18 indexed citations
11.
Gobas, Frank A. P. C., Lawrence P. Burkhard, William J. Doucette, et al.. (2015). Review of existing terrestrial bioaccumulation models and terrestrial bioaccumulation modeling needs for organic chemicals. Integrated Environmental Assessment and Management. 12(1). 123–134. 49 indexed citations
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Nichols, John W., Mark Bonnell, S. Dimitrov, et al.. (2009). Bioaccumulation Assessment Using Predictive Approaches. Integrated Environmental Assessment and Management. 5(4). 577–597. 27 indexed citations
15.
Nichols, John W., Mark Bonnell, S. Dimitrov, et al.. (2009). Bioaccumulation Assessment Using Predictive Approaches. Integrated Environmental Assessment and Management. 5(4). 577–577. 66 indexed citations
16.
Weisbrod, Anne V., Jasminder Sahi, Helmut Segner, et al.. (2008). The state of in vitro science for use in bioaccumulation assessments for fish. Environmental Toxicology and Chemistry. 28(1). 86–96. 61 indexed citations
17.
Parkerton, Thomas F., Jon A. Arnot, Anne V. Weisbrod, et al.. (2008). Guidance for evaluating in vivo fish bioaccumulation data. Integrated Environmental Assessment and Management. 4(2). 139–155. 44 indexed citations
18.
Weisbrod, Anne V., Lawrence P. Burkhard, Jon A. Arnot, et al.. (2006). Workgroup Report: Review of Fish Bioaccumulation Databases Used to Identify Persistent, Bioaccumulative, Toxic Substances. Environmental Health Perspectives. 115(2). 255–261. 78 indexed citations
19.
Dimitrov, S., Nadezhda Dimitrova, Thomas F. Parkerton, et al.. (2005). Base-line model for identifying the bioaccumulation potential of chemicals. SAR and QSAR in environmental research. 16(6). 531–554. 100 indexed citations
20.
Keddy, Cathy J., Joseph C. Greene, & Mark Bonnell. (1994). A review of whole organism bioassays for assessing the quality of soil, freshwater sediment, and freshwater in Canada. Medical Entomology and Zoology. 12 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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