Daniel A. Vallero

4.2k total citations
62 papers, 1.9k citations indexed

About

Daniel A. Vallero is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Chemical Health and Safety. According to data from OpenAlex, Daniel A. Vallero has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Health, Toxicology and Mutagenesis, 10 papers in Environmental Engineering and 7 papers in Chemical Health and Safety. Recurrent topics in Daniel A. Vallero's work include Air Quality and Health Impacts (16 papers), Toxic Organic Pollutants Impact (11 papers) and Chemical Safety and Risk Management (7 papers). Daniel A. Vallero is often cited by papers focused on Air Quality and Health Impacts (16 papers), Toxic Organic Pollutants Impact (11 papers) and Chemical Safety and Risk Management (7 papers). Daniel A. Vallero collaborates with scholars based in United States, Canada and Denmark. Daniel A. Vallero's co-authors include Kathleen Walker, Robert G. Lewis, Trevor M. Letcher, Peter Egeghy, Elaine A. Cohen Hubal, Paul J. Lioy, Kristin Isaacs, Robert Stiles, Robert J. Porcja and Mianhua Zhong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Daniel A. Vallero

60 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Vallero United States 18 1.1k 356 248 236 171 62 1.9k
Wouter Fransman Netherlands 28 738 0.7× 104 0.3× 264 1.1× 497 2.1× 181 1.1× 91 2.2k
Zailina Hashim Malaysia 30 1.2k 1.1× 495 1.4× 154 0.6× 42 0.2× 186 1.1× 134 2.5k
Klára Slezáková Portugal 29 1.7k 1.6× 236 0.7× 125 0.5× 237 1.0× 383 2.2× 63 2.0k
Elisabetta Ceretti Italy 23 477 0.5× 311 0.9× 185 0.7× 76 0.3× 42 0.2× 58 1.3k
Erik Tielemans Netherlands 28 879 0.8× 82 0.2× 350 1.4× 34 0.1× 209 1.2× 60 1.8k
David L. MacIntosh United States 27 1.1k 1.1× 282 0.8× 77 0.3× 14 0.1× 280 1.6× 59 1.9k
Cynthia J. Hines United States 31 1.2k 1.1× 444 1.2× 262 1.1× 35 0.1× 94 0.5× 70 2.6k
Kent Thomas United States 29 1.2k 1.1× 379 1.1× 152 0.6× 14 0.1× 151 0.9× 65 2.2k
Peter Egeghy United States 32 2.0k 1.8× 344 1.0× 100 0.4× 18 0.1× 173 1.0× 68 2.9k
Tingting Ye China 31 1.8k 1.7× 528 1.5× 130 0.5× 19 0.1× 349 2.0× 130 3.1k

Countries citing papers authored by Daniel A. Vallero

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Vallero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Vallero. 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 Daniel A. Vallero. The network helps show where Daniel A. Vallero may publish in the future.

Co-authorship network of co-authors of Daniel A. Vallero

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Vallero. A scholar is included among the top collaborators of Daniel A. Vallero 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 Daniel A. Vallero. Daniel A. Vallero 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.
2.
Evans, Marina V., et al.. (2023). A compartment model to predict in vitro finite dose absorption of chemicals by human skin. Chemosphere. 349. 140689–140689.
3.
Egeghy, Peter, et al.. (2021). Computational estimates of daily aggregate exposure to PFOA/PFOS from 2011 to 2017 using a basic intake model. Journal of Exposure Science & Environmental Epidemiology. 33(1). 56–68. 14 indexed citations
4.
Meyer, David E., Sidney C. Bailin, Daniel A. Vallero, et al.. (2019). Enhancing life cycle chemical exposure assessment through ontology modeling. The Science of The Total Environment. 712. 136263–136263. 11 indexed citations
5.
Wambaugh, John F., Jane Bare, Courtney C. Carignan, et al.. (2019). New approach methodologies for exposure science. Current Opinion in Toxicology. 15. 76–92. 56 indexed citations
6.
Huang, Lei, et al.. (2018). Integrating exposure to chemicals in building materials during use stage. The International Journal of Life Cycle Assessment. 24(6). 1009–1026. 23 indexed citations
7.
8.
Vallero, Daniel A. & Sastry Isukapalli. (2013). Simulating real-world exposures during emergency events: studying effects of indoor and outdoor releases in the Urban Dispersion Program in upper Manhattan, NY. Journal of Exposure Science & Environmental Epidemiology. 24(3). 279–289. 2 indexed citations
9.
Mitchell, Jade, Jon A. Arnot, Olivier Jolliet, et al.. (2013). Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential. The Science of The Total Environment. 458-460. 555–567. 34 indexed citations
10.
Wambaugh, John F., R. Woodrow Setzer, David M. Reif, et al.. (2013). High-Throughput Models for Exposure-Based Chemical Prioritization in the ExpoCast Project. Environmental Science & Technology. 47(15). 2405996838–2405996838. 168 indexed citations
11.
Isaacs, Kristin, Thomas McCurdy, Graham Glen, et al.. (2012). Statistical properties of longitudinal time-activity data for use in human exposure modeling. Journal of Exposure Science & Environmental Epidemiology. 23(3). 328–336. 21 indexed citations
12.
Letcher, Trevor M. & Daniel A. Vallero. (2011). Waste : a handbook for management. Academic Press eBooks. 126 indexed citations
13.
Vallero, Daniel A.. (2010). Antibiotic Resistance and Dual Use. Libra. 53(2).
14.
Vallero, Daniel A., et al.. (2008). Efficiency of Sampling and Analysis of Asbestos Fibers on Filter Media: Implications for Exposure Assessment. Journal of Occupational and Environmental Hygiene. 6(1). 62–72. 11 indexed citations
15.
Gronewold, Andrew D., Kenneth H. Reckhow, & Daniel A. Vallero. (2008). Improving Human and Ecological Exposure Assessments: A Bayesian Network Modeling Approach. Epidemiology. 19(6). 2 indexed citations
16.
Georgopoulos, Panos G., et al.. (2008). Reconstructing population exposures to environmental chemicals from biomarkers: Challenges and opportunities. Journal of Exposure Science & Environmental Epidemiology. 19(2). 149–171. 46 indexed citations
17.
Rodes, Charles, Edo D. Pellizzari, Michael Dellarco, et al.. (2008). ISEA2007 panel: Integration of better exposure characterizations into disaster preparedness for responders and the public. Journal of Exposure Science & Environmental Epidemiology. 18(6). 541–550. 5 indexed citations
18.
Lioy, Paul J., Daniel A. Vallero, Panos G. Georgopoulos, et al.. (2007). A personal exposure study employing scripted activities and paths in conjunction with atmospheric releases of perfluorocarbon tracers in Manhattan, New York. Journal of Exposure Science & Environmental Epidemiology. 17(5). 409–425. 10 indexed citations
19.
Vallero, Daniel A.. (2007). Beyond Responsible Conduct in Research: New Pedagogies to Address Macroethics of Nanobiotechnologies. Journal of Long-Term Effects of Medical Implants. 17(1). 1–12. 9 indexed citations
20.
Lioy, Paul J., Clifford P. Weisel, James R. Millette, et al.. (2002). Characterization of the dust/smoke aerosol that settled east of the World Trade Center (WTC) in lower Manhattan after the collapse of the WTC 11 September 2001.. Environmental Health Perspectives. 110(7). 703–714. 386 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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