Mari Titcombe

563 total citations
8 papers, 398 citations indexed

About

Mari Titcombe is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Pollution. According to data from OpenAlex, Mari Titcombe has authored 8 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Atmospheric Science, 3 papers in Health, Toxicology and Mutagenesis and 2 papers in Pollution. Recurrent topics in Mari Titcombe's work include Atmospheric chemistry and aerosols (3 papers), Air Quality and Health Impacts (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Mari Titcombe is often cited by papers focused on Atmospheric chemistry and aerosols (3 papers), Air Quality and Health Impacts (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Mari Titcombe collaborates with scholars based in United States, China and Ireland. Mari Titcombe's co-authors include F. L. Eisele, Jun Zhao, Peter H. McMurry, Chongai Kuang, Matt F. Simcik, Jingkun Jiang, M. L. Fischer, Modi Chen, Coty N. Jen and David R. Hanson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Environmental Monitoring and Assessment.

In The Last Decade

Mari Titcombe

8 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mari Titcombe United States 5 242 186 114 71 41 8 398
Daniel A. Deeds United States 7 104 0.4× 327 1.8× 57 0.5× 53 0.7× 44 1.1× 9 456
Joel D. Rindelaub New Zealand 9 237 1.0× 138 0.7× 97 0.9× 69 1.0× 21 0.5× 20 386
E. Swartz United States 10 304 1.3× 161 0.9× 95 0.8× 20 0.3× 45 1.1× 12 456
Michael R. Alves United States 10 193 0.8× 121 0.7× 78 0.7× 18 0.3× 19 0.5× 17 305
K. Gorham United States 7 241 1.0× 120 0.6× 153 1.3× 12 0.2× 26 0.6× 10 343
Luis A. Cuadra‐Rodriguez United States 10 527 2.2× 201 1.1× 323 2.8× 19 0.3× 35 0.9× 10 629
Christian Schauer Germany 5 452 1.9× 505 2.7× 93 0.8× 28 0.4× 37 0.9× 9 692
Peng Xiao China 11 203 0.8× 81 0.4× 77 0.7× 5 0.1× 95 2.3× 26 375
S. Poshyachinda Thailand 13 93 0.4× 147 0.8× 41 0.4× 25 0.4× 18 0.4× 58 553
Brandon Finley United States 11 296 1.2× 388 2.1× 149 1.3× 28 0.4× 18 0.4× 15 575

Countries citing papers authored by Mari Titcombe

Since Specialization
Citations

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

Fields of papers citing papers by Mari Titcombe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Titcombe

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

All Works

8 of 8 papers shown
1.
Iwanowicz, Deborah D., Austin K. Baldwin, Larry B. Barber, et al.. (2024). Integrated science for the study of microplastics in the environment—A strategic science vision for the U.S. Geological Survey. U.S. Geological Survey circular. 1 indexed citations
2.
Christensen, Victoria G., Christopher J. Crawford, Robert J. Dusek, et al.. (2024). Interdisciplinary science approach for harmful algal blooms (HABs) and algal toxins—A strategic science vision for the U.S. Geological Survey. U.S. Geological Survey circular. 4 indexed citations
3.
Card, Marcella L., et al.. (2017). History of EPI Suite™ and future perspectives on chemical property estimation in US Toxic Substances Control Act new chemical risk assessments. Environmental Science Processes & Impacts. 19(3). 203–212. 71 indexed citations
4.
Titcombe, Mari, Amy Pruden, & Linsey C. Marr. (2016). Partitioning of Viruses in Wastewater Systems and Potential for Aerosolization. Environmental Science & Technology Letters. 3(5). 210–215. 28 indexed citations
5.
Chen, Modi, Mari Titcombe, Jingkun Jiang, et al.. (2013). Acid-base chemical reaction model for nucleation rates in the polluted atmospheric boundary layer. AIP conference proceedings. 647–650. 3 indexed citations
6.
Chen, Modi, Mari Titcombe, Jingkun Jiang, et al.. (2012). Acid–base chemical reaction model for nucleation rates in the polluted atmospheric boundary layer. Proceedings of the National Academy of Sciences. 109(46). 18713–18718. 140 indexed citations
7.
Titcombe, Mari & Matt F. Simcik. (2010). Personal and indoor exposure to PM2.5 and polycyclic aromatic hydrocarbons in the southern highlands of Tanzania: a pilot-scale study. Environmental Monitoring and Assessment. 180(1-4). 461–476. 49 indexed citations
8.
Zhao, Jun, F. L. Eisele, Mari Titcombe, Chongai Kuang, & Peter H. McMurry. (2010). Chemical ionization mass spectrometric measurements of atmospheric neutral clusters using the cluster‐CIMS. Journal of Geophysical Research Atmospheres. 115(D8). 102 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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