David T. Mage

3.3k citations
89 papers · 2.7k · h-index 28

Impact in

Papers in

David T. Mage

87 papers receiving 2.5k citations

Peers

David T. Mage
Comparison fields: 5 of 165
  • Health, Toxicology and Mutagenesis 1.5k
  • Environmental Engineering 591
  • Pollution 422
  • Speech and Hearing 191
  • Chemical Health and Safety 19
Replace William F. McDonnell with:
William F. McDonnell United States
William S. Linn United States
H-Erich Wichmann Germany
Hanns Moshammer Austria
Manfred Neuberger Austria
Hsiao‐Chi Chuang Taiwan
Jack D. Hackney United States
W. Ryan Diver United States
Daniel L. Costa United States
Kai-Jen Chuang Taiwan
David T. Mage relative to William F. McDonnell United States William F. McDonnell's profile →
Citations per field
00.5×1.6×
William F. McDonnell · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David T. Mage, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David T. Mage Line = papers co-authored together David T. Mage links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996451
2 2002214
3 2000157
4 2004143
5 2007138
6 2001135
7 1985128
8 200084
9 200073
10 201070
11 198862
12 198960
13 199953
14 199948
15 200647
16 200943
17 200443
18 198441
19 199839
20 198037

About David T. Mage

David T. Mage is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine and Plant Science, having authored 89 papers that have together received 2.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (31 papers), Air Quality Monitoring and Forecasting (17 papers), Neuroscience of respiration and sleep (14 papers), Wind and Air Flow Studies (8 papers), Climate Change and Health Impacts (8 papers), Pesticide Exposure and Toxicity (8 papers), Neonatal Respiratory Health Research (8 papers) and Energy and Environment Impacts (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.5k citations), Environmental Engineering (591 citations), Pollution (422 citations), Speech and Hearing (191 citations) and Chemical Health and Safety (19 citations). David T. Mage has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Wayne R. Ott, Ruth Allen, M. Donner, William E. Wilson, Guntis Ozolins, P. J. Peterson, Lester D. Grant, M. D. Gwynne, Veerle Vandeweerd and Lance Wallace. Their work appears in journals such as Journal of the Air & Waste Management Association, Journal of Exposure Science & Environmental Epidemiology, Environmental Research, Environment International and Acta Paediatrica.

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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