Marirosa Molina

2.3k total citations
55 papers, 1.7k citations indexed

About

Marirosa Molina is a scholar working on Water Science and Technology, Ecology and Environmental Engineering. According to data from OpenAlex, Marirosa Molina has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Water Science and Technology, 17 papers in Ecology and 14 papers in Environmental Engineering. Recurrent topics in Marirosa Molina's work include Fecal contamination and water quality (30 papers), Groundwater flow and contamination studies (10 papers) and Soil Carbon and Nitrogen Dynamics (9 papers). Marirosa Molina is often cited by papers focused on Fecal contamination and water quality (30 papers), Groundwater flow and contamination studies (10 papers) and Soil Carbon and Nitrogen Dynamics (9 papers). Marirosa Molina collaborates with scholars based in United States, Ireland and Australia. Marirosa Molina's co-authors include Kelvin Wong, Sharon A. Cantrell, Lilliam Casillas-Martínez, Becky A. Ball, Yolima Carrillo, Richard G. Zepp, Robert E. Hodson, Mike Cyterski, Roger A. Burke and Kyle Bibby and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Ecology.

In The Last Decade

Marirosa Molina

55 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marirosa Molina United States 23 590 470 309 248 188 55 1.7k
Jean E. McLain United States 25 371 0.6× 346 0.7× 338 1.1× 197 0.8× 89 0.5× 56 1.9k
A. Donnison New Zealand 21 850 1.4× 358 0.8× 178 0.6× 308 1.2× 91 0.5× 42 1.8k
Brian D. Badgley United States 26 884 1.5× 693 1.5× 377 1.2× 545 2.2× 146 0.8× 49 2.5k
Adrian Unc Canada 20 365 0.6× 227 0.5× 275 0.9× 385 1.6× 53 0.3× 75 1.6k
Michael B. Jenkins United States 31 555 0.9× 491 1.0× 652 2.1× 208 0.8× 318 1.7× 83 2.7k
J.J. Miller Canada 25 355 0.6× 308 0.7× 866 2.8× 132 0.5× 88 0.5× 90 1.8k
James J. Smith United States 27 325 0.6× 325 0.7× 109 0.4× 124 0.5× 127 0.7× 84 2.1k
J. M. B. Hawkins United Kingdom 22 248 0.4× 339 0.7× 691 2.2× 87 0.4× 125 0.7× 48 1.5k
Klaas Broersma Canada 18 254 0.4× 258 0.5× 239 0.8× 113 0.5× 45 0.2× 59 1.1k
Anne M. Spain United States 11 245 0.4× 493 1.0× 188 0.6× 133 0.5× 28 0.1× 12 1.2k

Countries citing papers authored by Marirosa Molina

Since Specialization
Citations

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

Fields of papers citing papers by Marirosa Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marirosa Molina

This figure shows the co-authorship network connecting the top 25 collaborators of Marirosa Molina. A scholar is included among the top collaborators of Marirosa Molina 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 Marirosa Molina. Marirosa Molina 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.
Wu, Huiyun, Christopher T. Nietch, John A. Darling, et al.. (2025). Assessment of Emerging Pathogens and Antibiotic Resistance Genes in the Biofilm of Microplastics Incubated Under a Wastewater Discharge Simulation. Environmental Microbiology. 27(5). e70103–e70103. 1 indexed citations
2.
Wu, Huiyun, et al.. (2023). Temporal and spatial relationships of CrAssphage and enteric viral and bacterial pathogens in wastewater in North Carolina. Water Research. 239. 120008–120008. 15 indexed citations
3.
Nguyen, Tuan Duc, Brad Acrey, Richard G. Zepp, et al.. (2020). Modeling the photoinactivation and transport of somatic and F‐specific coliphages at a Great Lakes beach. Journal of Environmental Quality. 49(6). 1612–1623. 7 indexed citations
4.
Pelletier, Marguerite C., Kate Mulvaney, Brenda Rashleigh, et al.. (2020). Resilience of aquatic systems: Review and management implications. Aquatic Sciences. 82(2). 1–44. 54 indexed citations
5.
6.
Oladeinde, Adelumola, Erin K. Lipp, Chia-Ying Chen, et al.. (2018). Transcriptome Changes of Escherichia coli, Enterococcus faecalis, and Escherichia coli O157:H7 Laboratory Strains in Response to Photo-Degraded DOM. Frontiers in Microbiology. 9. 882–882. 6 indexed citations
7.
Whelan, G., Marirosa Molina, Rajbir Parmar, et al.. (2018). Using Integrated Environmental Modeling to Assess Sources of Microbial Contamination in Mixed‐Use Watersheds. Journal of Environmental Quality. 47(5). 1103–1114. 4 indexed citations
8.
Whelan, G., Rajbir Parmar, Gerard F. Laniak, et al.. (2017). Capturing microbial sources distributed in a mixed-use watershed within an integrated environmental modeling workflow. Environmental Modelling & Software. 99. 126–146. 5 indexed citations
9.
10.
Wong, Kelvin, Dermont Bouchard, & Marirosa Molina. (2014). Relative transport of human adenovirus and MS2 in porous media. Colloids and Surfaces B Biointerfaces. 122. 778–784. 17 indexed citations
11.
Soller, Jeffrey A., Timothy A. Bartrand, Marirosa Molina, et al.. (2014). Quantitative Microbial Risk Assessment of Freshwater Impacted by Animal Fecal Material. ScholarsArchive (Brigham Young University). 2 indexed citations
12.
Molina, Marirosa, Mike Cyterski, Lindsay Peed, et al.. (2014). Factors affecting the presence of human-associated and fecal indicator real-time quantitative PCR genetic markers in urban-impacted recreational beaches. Water Research. 64. 196–208. 45 indexed citations
13.
Whelan, G., S. Thomas Purucker, Mike Cyterski, et al.. (2013). Rainfall–runoff model parameter estimation and uncertainty evaluation on small plots. Hydrological Processes. 28(20). 5220–5235. 17 indexed citations
14.
Cyterski, Mike, Shuyan Zhang, Emily M. White, et al.. (2012). Temporal Synchronization Analysis for Improving Regression Modeling of Fecal Indicator Bacteria Levels. Water Air & Soil Pollution. 223(8). 4841–4851. 12 indexed citations
15.
Wong, Kelvin, et al.. (2012). Application of enteric viruses for fecal pollution source tracking in environmental waters. Environment International. 45. 151–164. 99 indexed citations
16.
Zhang, Weixin, Paul F. Hendrix, Bruce A. Snyder, et al.. (2010). Dietary flexibility aids Asian earthworm invasion in North American forests. Ecology. 91(7). 2070–2079. 75 indexed citations
17.
Zhang, Weixin, Paul F. Hendrix, Bruce A. Snyder, et al.. (2009). Dietary flexibility aids Asian earthworm invasion in North American forests. Ecology. 1510488361–1510488361. 1 indexed citations
18.
Pinto, Alexandre de Siqueira, et al.. (2002). Soil emissions of N2O, NO, and CO2 in Brazilian Savannas: Effects of vegetation type, seasonality, and prescribed fires. Journal of Geophysical Research Atmospheres. 107(D20). 69 indexed citations
19.
20.
Kastner, James R., Jorge Santo Domingo, Miles Denham, Marirosa Molina, & Robin L. Brigmon. (2000). Effect of Chemical Oxidation on Subsurface Microbiology and Trichloroethene (TCE) Biodegradation. Bioremediation Journal. 4(3). 219–236. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jean E. McLain Breakdown of academic impact, for papers by A. Donnison Breakdown of academic impact, for papers by Brian D. Badgley Breakdown of academic impact, for papers by Adrian Unc Breakdown of academic impact, for papers by Michael B. Jenkins Breakdown of academic impact, for papers by J.J. Miller Breakdown of academic impact, for papers by James J. Smith Breakdown of academic impact, for papers by J. M. B. Hawkins Breakdown of academic impact, for papers by Klaas Broersma Breakdown of academic impact, for papers by Anne M. Spain
Rankless by CCL
2026