David T. Mage

3.3k total citations
82 papers, 2.5k citations indexed

About

David T. Mage is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Endocrine and Autonomic Systems. According to data from OpenAlex, David T. Mage has authored 82 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Health, Toxicology and Mutagenesis, 20 papers in Environmental Engineering and 15 papers in Endocrine and Autonomic Systems. Recurrent topics in David T. Mage's work include Air Quality and Health Impacts (29 papers), Air Quality Monitoring and Forecasting (15 papers) and Neuroscience of respiration and sleep (15 papers). David T. Mage is often cited by papers focused on Air Quality and Health Impacts (29 papers), Air Quality Monitoring and Forecasting (15 papers) and Neuroscience of respiration and sleep (15 papers). David T. Mage collaborates with scholars based in United States, Ireland and Switzerland. David T. Mage's co-authors include Wayne R. Ott, Ruth Allen, M. Donner, William E. Wilson, Lester D. Grant, M. D. Gwynne, Veerle Vandeweerd, Guntis Ozolins, P. J. Peterson and Lance Wallace and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Technometrics.

In The Last Decade

David T. Mage

81 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David T. Mage United States 25 1.5k 562 449 363 272 82 2.5k
Manfred Neuberger Austria 27 1.5k 1.1× 322 0.6× 186 0.4× 153 0.4× 173 0.6× 100 2.6k
Hanns Moshammer Austria 29 1.8k 1.2× 378 0.7× 353 0.8× 93 0.3× 204 0.8× 148 3.2k
Joel Schwartz United States 23 1.9k 1.3× 444 0.8× 398 0.9× 666 1.8× 153 0.6× 55 3.7k
John P. Creason United States 28 1.7k 1.2× 514 0.9× 311 0.7× 131 0.4× 157 0.6× 59 2.5k
Xiao‐Wen Zeng China 40 3.2k 2.2× 606 1.1× 574 1.3× 488 1.3× 57 0.2× 189 4.8k
Isabelle Momas France 34 1.7k 1.1× 453 0.8× 247 0.6× 154 0.4× 218 0.8× 139 2.9k
Jane Heyworth Australia 35 1.4k 1.0× 279 0.5× 269 0.6× 114 0.3× 61 0.2× 158 4.1k
Elvira V. Bräuner Denmark 32 1.8k 1.3× 351 0.6× 408 0.9× 72 0.2× 242 0.9× 98 3.4k
Hsiao‐Chi Chuang Taiwan 37 2.6k 1.8× 754 1.3× 466 1.0× 78 0.2× 337 1.2× 236 4.6k
W. Ryan Diver United States 29 2.1k 1.5× 608 1.1× 492 1.1× 40 0.1× 178 0.7× 64 4.0k

Countries citing papers authored by David T. Mage

Since Specialization
Citations

This map shows the geographic impact of David T. Mage'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 David T. Mage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Mage more than expected).

Fields of papers citing papers by David T. Mage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Mage. 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 David T. Mage. The network helps show where David T. Mage may publish in the future.

Co-authorship network of co-authors of David T. Mage

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Mage. A scholar is included among the top collaborators of David T. Mage 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 David T. Mage. David T. Mage 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.
Mage, David T., et al.. (2016). An Acute Respiratory Infection of a Physiologically Anemic Infant is a More Likely Cause of SIDS than Neurological Prematurity. Frontiers in Neurology. 7. 129–129. 5 indexed citations
3.
Blount, Benjamin C., et al.. (2010). Estimating perchlorate exposure from food and tap water based on US biomonitoring and occurrence data. Journal of Exposure Science & Environmental Epidemiology. 21(4). 395–407. 65 indexed citations
4.
Mage, David T., et al.. (2007). Creatinine corrections for estimating children's and adult's pesticide intake doses in equilibrium with urinary pesticide and creatinine concentrations. Journal of Exposure Science & Environmental Epidemiology. 18(4). 360–368. 136 indexed citations
5.
Mage, David T., et al.. (2004). The fifty percent male excess of infant respiratory mortality. Acta Paediatrica. 93(9). 1210–1215. 3 indexed citations
6.
Mage, David T. & M. Donner. (2004). The X-linkage hypotheses for SIDS and the male excess in infant mortality. Medical Hypotheses. 62(4). 564–567. 15 indexed citations
7.
Williams, Fiona, Gillian A. Lang, & David T. Mage. (2001). Sudden Unexpected Infant Deaths in Dundee, 1882–1891: Overlying or Sids?. Scottish Medical Journal. 46(2). 43–47. 3 indexed citations
8.
Mage, David T., Michael C.R. Alavanja, Dale P. Sandler, et al.. (2000). A Model for Predicting the Frequency of High Pesticide Exposure Events in the Agricultural Health Study. Environmental Research. 83(1). 67–71. 14 indexed citations
9.
Naeher, Luke P., Kirk R. Smith, Brian P. Leaderer, David T. Mage, & Rubén Grajeda. (2000). Indoor and outdoor PM2.5 and CO in high- and low-density Guatemalan villages. Journal of Exposure Science & Environmental Epidemiology. 10(6). 544–551. 68 indexed citations
10.
Alavanja, Michael C.R., Dale P. Sandler, Cheryl J. McDonnell, et al.. (1999). Characteristics of Pesticide Use in a Pesticide Applicator Cohort: The Agricultural Health Study. Environmental Research. 80(2). 172–179. 51 indexed citations
11.
Davis, J. Michael, Annie M. Jarabek, David T. Mage, & J.A. Graham. (1999). Inhalation Health Risk Assessment of MMT. Environmental Research. 80(2). 103–104. 14 indexed citations
12.
Jarabek, Annie M., et al.. (1998). The EPA Health Risk Assessment of Methylcyclopentadienyl Manganese Tricarbonyl (MMT). Risk Analysis. 18(1). 57–70. 35 indexed citations
13.
Alavanja, Michael C.R., Dale P. Sandler, Cheryl J. McDonnell, et al.. (1998). Factors associated with self-reported, pesticide-related visits to health care providers in the agricultural health study.. Environmental Health Perspectives. 106(7). 415–420. 15 indexed citations
14.
Duan, Naihua & David T. Mage. (1997). Combination of direct and indirect approaches for exposure assessment.. PubMed. 7(4). 439–70. 29 indexed citations
15.
Mage, David T. & M. Donner. (1997). A genetic basis for the sudden infant death syndrome sex ratio. Medical Hypotheses. 48(2). 137–142. 24 indexed citations
16.
Ott, Wayne R., et al.. (1992). Comparison of microenvironmental CO concentrations in two cities for human exposure modeling.. PubMed. 2(2). 249–67. 20 indexed citations
17.
Matthews, T. G., Cyril V. Thompson, David L. Wilson, A.R. Hawthorne, & David T. Mage. (1987). Air velocities inside domestic environments: An important parameter for passive monitoring. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 59(1). 16–8. 8 indexed citations
18.
Hess, C. T., et al.. (1987). Radon from drinking water — evaluation of water-borne transfer into house air. Environmental Geochemistry and Health. 9(3-4). 68–73. 5 indexed citations
19.
Mage, David T.. (1982). An Objective Graphical Method for Testing Normal Distributional Assumptions using Probability Plots. The American Statistician. 36(2). 116–120. 20 indexed citations
20.
Mage, David T.. (1980). An empirical model for the Kolmogorov‐Smirnov statistic. Journal of Environmental Science and Health Part A Environmental Science and Engineering. 15(2). 139–147. 3 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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