Chris Money

477 total citations
29 papers, 341 citations indexed

About

Chris Money is a scholar working on Chemical Health and Safety, Statistics, Probability and Uncertainty and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Chris Money has authored 29 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Chemical Health and Safety, 11 papers in Statistics, Probability and Uncertainty and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Chris Money's work include Risk and Safety Analysis (11 papers), Chemical Safety and Risk Management (11 papers) and Effects and risks of endocrine disrupting chemicals (6 papers). Chris Money is often cited by papers focused on Risk and Safety Analysis (11 papers), Chemical Safety and Risk Management (11 papers) and Effects and risks of endocrine disrupting chemicals (6 papers). Chris Money collaborates with scholars based in United States, Netherlands and United Kingdom. Chris Money's co-authors include C. N. Gray, Peter J. Boogaard, John A. Tomenson, R. Jeffrey Lewis, Andrew Phillips, Joel Tickner, Nicholas Warren, John W. Cherrie, Hans Marquart and Karen S Creely and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Epidemiology and Risk Analysis.

In The Last Decade

Chris Money

29 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Money United States 13 154 98 97 65 60 29 341
Linda Schenk Sweden 14 130 0.8× 86 0.9× 60 0.6× 57 0.9× 77 1.3× 51 464
Hans Marquart Netherlands 15 241 1.6× 151 1.5× 145 1.5× 43 0.7× 122 2.0× 33 598
Johan de Cock Netherlands 9 110 0.7× 36 0.4× 34 0.4× 55 0.8× 46 0.8× 15 345
G. Scott Dotson United States 14 132 0.9× 32 0.3× 22 0.2× 19 0.3× 59 1.0× 24 387
S. M. Rappaport United States 11 245 1.6× 33 0.3× 26 0.3× 138 2.1× 59 1.0× 16 392
Pierre‐Olivier Droz Switzerland 11 298 1.9× 24 0.2× 15 0.2× 85 1.3× 24 0.4× 18 451
A Garrod United Kingdom 12 101 0.7× 58 0.6× 33 0.3× 8 0.1× 66 1.1× 17 292
Heinz Ahlers United States 9 81 0.5× 18 0.2× 16 0.2× 35 0.5× 52 0.9× 14 356
Jeremiah Lynch United States 16 304 2.0× 57 0.6× 29 0.3× 189 2.9× 99 1.6× 35 686
Elizabeth L. Anderson United States 5 94 0.6× 20 0.2× 41 0.4× 91 1.4× 12 0.2× 9 290

Countries citing papers authored by Chris Money

Since Specialization
Citations

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

Fields of papers citing papers by Chris Money

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Money

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Money. A scholar is included among the top collaborators of Chris Money 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 Chris Money. Chris Money 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.
Zaleski, Rosemary, et al.. (2023). An assessment of the ECETOC TRA Consumer tool performance as a screening level tool. Journal of Exposure Science & Environmental Epidemiology. 33(6). 980–993. 1 indexed citations
2.
Li, Qiang, et al.. (2023). ECETOC TRAv3: An In-depth Comparison of Publicly Available Measurement Data Sets With Modelled Estimates of Occupational Inhalation Exposure to Chemicals. Annals of Work Exposures and Health. 67(4). 496–507. 3 indexed citations
3.
Money, Chris, et al.. (2017). Establishing the value of resilience. 1 indexed citations
4.
Money, Chris. (2017). Improving the relevance and efficiency of human exposure assessments within the process of regulatory risk assessment. Environmental Science Processes & Impacts. 20(1). 12–19. 2 indexed citations
5.
Money, Chris, et al.. (2013). A systematic approach for evaluating and scoring human data. Regulatory Toxicology and Pharmacology. 66(2). 241–247. 33 indexed citations
6.
Zaleski, Rosemary, et al.. (2013). European solvent industry group generic exposure scenario risk and exposure tool. Journal of Exposure Science & Environmental Epidemiology. 24(1). 27–35. 19 indexed citations
7.
Vocht, Frank de, Chris Money, John W. Cherrie, et al.. (2013). The Future of Exposure Assessment: Perspectives From the X2012 Conference. The Annals of Occupational Hygiene. 57(3). 280–5. 3 indexed citations
8.
Schnatter, A. Robert, et al.. (2011). Framework for integrating human and animal data in chemical risk assessment. Regulatory Toxicology and Pharmacology. 62(2). 302–312. 22 indexed citations
9.
Boogaard, Peter J. & Chris Money. (2008). A proposed framework for the interpretation of biomonitoring data. Environmental Health. 7(Suppl 1). S12–S12. 15 indexed citations
10.
Marquart, Hans, et al.. (2007). Exposure scenarios for workers. Journal of Exposure Science & Environmental Epidemiology. 17(S1). S16–S25. 16 indexed citations
11.
Bahadori, Tina, Richard D. Phillips, Chris Money, et al.. (2007). Making sense of human biomonitoring data: Findings and recommendations of a workshop. Journal of Exposure Science & Environmental Epidemiology. 17(4). 308–313. 22 indexed citations
12.
Money, Chris, J.J. van Hemmen, & Theo Vermeire. (2007). Scientific governance and the process for exposure scenario development in REACH. Journal of Exposure Science & Environmental Epidemiology. 17(S1). S34–S37. 2 indexed citations
13.
Money, Chris, et al.. (2007). The ECETOC approach to targeted risk assessment; lessons and experiences relevant to REACH. Journal of Exposure Science & Environmental Epidemiology. 17(S1). S67–S71. 14 indexed citations
14.
Money, Chris. (2007). The Use of Human Experience Data in the EU Risk Assessment Process. Risk Analysis. 27(2). 387–396. 2 indexed citations
15.
Boogaard, Peter J., P. B. Farmer, Martin Holt, et al.. (2006). A proposed framework for the interpretation of biomonitoring data. Toxicology Letters. 164. S144–S144. 2 indexed citations
16.
Creely, Karen S, Joel Tickner, Nicholas Warren, et al.. (2004). Evaluation and Further Development of EASE Model 2.0. The Annals of Occupational Hygiene. 49(2). 135–45. 48 indexed citations
17.
Money, Chris. (2003). European Experiences in the Development of Approaches for the Successful Control of Workplace Health Risks. The Annals of Occupational Hygiene. 47(7). 533–40. 28 indexed citations
18.
Money, Chris, et al.. (2002). Improved Use of Workplace Exposure Data in the Regulatory Risk Assessment of Chemicals within Europe. The Annals of Occupational Hygiene. 46(3). 279–85. 14 indexed citations
19.
Money, Chris. (2001). The European Chemical Industry's Needs and Expectations for Workplace Exposure Data. Applied Occupational and Environmental Hygiene. 16(2). 300–303. 2 indexed citations
20.
Money, Chris. (1992). A STRUCTURED APPROACH TO OCCUPATIONAL HYGIENE IN THE DESIGN AND OPERATION OF FINE CHEMICAL PLANT. The Annals of Occupational Hygiene. 36(6). 601–607. 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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