Martin M. Shafer

13.8k total citations · 1 hit paper
212 papers, 11.0k citations indexed

About

Martin M. Shafer is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Pollution. According to data from OpenAlex, Martin M. Shafer has authored 212 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Health, Toxicology and Mutagenesis, 57 papers in Atmospheric Science and 56 papers in Pollution. Recurrent topics in Martin M. Shafer's work include Air Quality and Health Impacts (110 papers), Atmospheric chemistry and aerosols (55 papers) and Air Quality Monitoring and Forecasting (43 papers). Martin M. Shafer is often cited by papers focused on Air Quality and Health Impacts (110 papers), Atmospheric chemistry and aerosols (55 papers) and Air Quality Monitoring and Forecasting (43 papers). Martin M. Shafer collaborates with scholars based in United States, Canada and China. Martin M. Shafer's co-authors include James J. Schauer, Constantinos Sioutas, David E. Armstrong, Nancy Daher, James P. Hurley, Jeffrey T. DeMinter, June-Soo Park, Glynis C. Lough, Joel T. Overdier and Arian Saffari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Martin M. Shafer

207 papers receiving 10.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Emissions of Metals Associated with Motor Vehicle Roadways

2004 699 citations James J. Schauer, Martin M. Shafer et al. Environmental Science & Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin M. Shafer United States	62	8.4k	3.5k	2.6k	2.5k	1.6k	212	11.0k
Zhipeng Bai China	50	5.9k 0.7×	3.0k 0.9×	1.5k 0.6×	1.8k 0.7×	1.1k 0.7×	220	7.9k
Christer Johansson Sweden	48	6.1k 0.7×	3.1k 0.9×	1.3k 0.5×	1.6k 0.6×	2.5k 1.6×	163	8.9k
Yinchang Feng China	54	7.3k 0.9×	5.7k 1.6×	1.5k 0.6×	3.4k 1.4×	1.6k 1.0×	318	10.4k
Paul J. Lioy United States	54	7.6k 0.9×	1.8k 0.5×	1.7k 0.6×	1.6k 0.6×	713 0.4×	290	11.0k
Constantini Samara Greece	55	6.6k 0.8×	2.7k 0.8×	3.3k 1.3×	1.8k 0.7×	1.0k 0.6×	164	10.6k
Hezhong Tian China	49	5.6k 0.7×	2.9k 0.8×	1.9k 0.7×	1.7k 0.7×	964 0.6×	135	7.8k
Mar Viana Spain	62	9.5k 1.1×	6.7k 1.9×	1.4k 0.5×	4.4k 1.8×	3.0k 1.9×	184	12.7k
John R. Froines United States	40	5.2k 0.6×	1.6k 0.5×	1.0k 0.4×	1.5k 0.6×	1.1k 0.7×	98	7.0k
Guofeng Shen China	62	8.6k 1.0×	4.2k 1.2×	4.1k 1.6×	1.8k 0.7×	1.9k 1.2×	353	12.9k
Célia Alves Portugal	52	6.4k 0.8×	4.2k 1.2×	1.1k 0.4×	1.8k 0.7×	1.8k 1.1×	255	8.9k

Countries citing papers authored by Martin M. Shafer

Since Specialization

Citations

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

Fields of papers citing papers by Martin M. Shafer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin M. Shafer. 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 Martin M. Shafer. The network helps show where Martin M. Shafer may publish in the future.

Co-authorship network of co-authors of Martin M. Shafer

This figure shows the co-authorship network connecting the top 25 collaborators of Martin M. Shafer. A scholar is included among the top collaborators of Martin M. Shafer 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 Martin M. Shafer. Martin M. Shafer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Antkiewicz, Dagmara S., et al.. (2024). Wastewater-based protocols for SARS-CoV-2: insights into virus concentration, extraction, and quantitation methods from two years of public health surveillance. Environmental Science Water Research & Technology. 10(8). 1766–1784. 7 indexed citations

Scott, Sean, Martin M. Shafer, Joel T. Overdier, et al.. (2024). Applying trace element geochemistry of archaeological bone to study the coevolution of environmental change and human health in the Roman Empire. Environmental Research. 262(Pt 2). 119941–119941. 4 indexed citations

Hindori‐Mohangoo, Ashna D., Hannah H. Covert, Martin M. Shafer, et al.. (2023). Geographic differences in exposures to metals and essential elements in pregnant women living in Suriname. Journal of Exposure Science & Environmental Epidemiology. 33(6). 911–920. 3 indexed citations

DeJonge, Peter M., et al.. (2023). Wastewater Surveillance Data as a Complement to Emergency Department Visit Data for Tracking Incidence of Influenza A and Respiratory Syncytial Virus — Wisconsin, August 2022–March 2023. MMWR Morbidity and Mortality Weekly Report. 72(37). 1005–1009. 11 indexed citations

Shafer, Martin M., Joel T. Overdier, & James J. Schauer. (2023). Particle-size resolved aerosol levels of total and extractable platinum in urban and rural regions of Western Europe. Atmospheric Environment. 318. 120213–120213.

Shen, Jiaqi, Sina Taghvaee, Farzan Oroumiyeh, et al.. (2022). Aerosol Oxidative Potential in the Greater Los Angeles Area: Source Apportionment and Associations with Socioeconomic Position. Environmental Science & Technology. 56(24). 17795–17804. 37 indexed citations

Sarkar, Chinmoy, et al.. (2022). An inter-laboratory comparison of elemental loadings of PM2.5 samples using energy-dispersive XRF and magnetic-sector ICP-MS. Atmospheric Environment. 293. 119463–119463. 9 indexed citations

Habre, Rima, Mariam Girguis, Robert Urman, et al.. (2020). Contribution of tailpipe and non-tailpipe traffic sources to quasi-ultrafine, fine and coarse particulate matter in southern California. Journal of the Air & Waste Management Association. 71(2). 209–230. 53 indexed citations

Wickliffe, Jeffrey K., Maureen Y. Lichtveld, Martin M. Shafer, et al.. (2020). Exposure to total and methylmercury among pregnant women in Suriname: sources and public health implications. Journal of Exposure Science & Environmental Epidemiology. 31(1). 117–125. 19 indexed citations

10.

Scott, Sean, et al.. (2019). Cd isotope fractionation during tobacco combustion produces isotopic variation outside the range measured in dietary sources. The Science of The Total Environment. 688. 600–608. 19 indexed citations

11.

Shafer, Martin M., et al.. (2019). Evaluation of the Efficacy of the National Atmospheric Deposition Program (NADP) National Trends Network (NTN) for Assessment of PFAS Deposition in Precipitation. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

12.

Hemming, Jocelyn D.C., et al.. (2019). Application of the direct peptide reactivity assay (DPRA) to inorganic compounds: a case study of platinum species. Toxicology Research. 8(6). 802–814. 14 indexed citations

13.

Norris, Christina, Karoline K. Barkjohn, Mike Bergin, et al.. (2019). The impact of household air cleaners on the oxidative potential of PM2.5 and the role of metals and sources associated with indoor and outdoor exposure. Environmental Research. 181. 108919–108919. 46 indexed citations

14.

Zhang, Xian, Norbert Staimer, Daniel L. Gillen, et al.. (2016). Associations between microvascular function and short-term exposure to traffic-related air pollution and particulate matter oxidative potential. Environmental Health. 15(1). 81–81. 66 indexed citations

15.

Wang, Dongbin, Martin M. Shafer, James J. Schauer, & Constantinos Sioutas. (2015). A new technique for online measurement of total and water-soluble copper (Cu) in coarse particulate matter (PM). Environmental Pollution. 199. 227–234. 14 indexed citations

16.

Greenwald, Roby, Michael Bergin, Fuyuen Yip, et al.. (2014). On-Roadway In-Cabin Exposure to Particulate Matter: Measurement Results Using Both Continuous and Time-Integrated Sampling Approaches. Aerosol Science and Technology. 48(6). 664–675. 17 indexed citations

17.

Hansen, Karen E., Andrea N. Jones, Mary J. Lindstrom, et al.. (2008). Vitamin D Insufficiency: Disease or No Disease?. Journal of Bone and Mineral Research. 23(7). 1052–1060. 78 indexed citations

18.

Majestic, Brian J., James J. Schauer, & Martin M. Shafer. (2007). Application of synchrotron radiation for measurement of iron red-ox speciation in atmospherically processed aerosols. Atmospheric chemistry and physics. 7(10). 2475–2487. 71 indexed citations

19.

Shafer, Martin M., et al.. (2007). Speciation, Sources and Bioavailability of Copper and Zinc in DoD-Impacted Harbors and Estuaries. Defense Technical Information Center (DTIC). 1 indexed citations

20.

Ramakrishnan, Raghu, James J. Schauer, Lei Chen, et al.. (2005). The EDAM project: Mining atmospheric aerosol datasets: Research Articles. International Journal of Intelligent Systems. 20(7). 759–787. 1 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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