Daya Marasini

561 total citations
32 papers, 388 citations indexed

About

Daya Marasini is a scholar working on Food Science, Molecular Biology and Epidemiology. According to data from OpenAlex, Daya Marasini has authored 32 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Food Science, 12 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Daya Marasini's work include Salmonella and Campylobacter epidemiology (12 papers), Genomics and Phylogenetic Studies (7 papers) and Bacterial Infections and Vaccines (7 papers). Daya Marasini is often cited by papers focused on Salmonella and Campylobacter epidemiology (12 papers), Genomics and Phylogenetic Studies (7 papers) and Bacterial Infections and Vaccines (7 papers). Daya Marasini collaborates with scholars based in United States, Egypt and Saudi Arabia. Daya Marasini's co-authors include Mohamed K. Fakhr, Franck Carbonero, Laura Lavefve, Carolyn R. Cornell, Mark A. Buchheim, Renee T. Threlfall, Robert J. Sheaff, Sun‐Ok Lee, Jung Ae Lee and Usama H. Abo-Shama and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Daya Marasini

29 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daya Marasini United States 13 235 124 87 71 56 32 388
Rama Nannapaneni United States 10 282 1.2× 117 0.9× 55 0.6× 92 1.3× 43 0.8× 10 451
Zajeba Tabashsum United States 11 280 1.2× 204 1.6× 73 0.8× 40 0.6× 35 0.6× 30 476
Rohtraud Pichner Germany 10 287 1.2× 275 2.2× 91 1.0× 55 0.8× 36 0.6× 33 539
Robin Dubois Dauphin Belgium 7 283 1.2× 171 1.4× 70 0.8× 66 0.9× 41 0.7× 15 484
Coralie Fournier Switzerland 9 135 0.6× 294 2.4× 91 1.0× 39 0.5× 51 0.9× 12 460
Debabrata Biswas United States 12 247 1.1× 218 1.8× 54 0.6× 47 0.7× 34 0.6× 26 493
Paola Zinno Italy 9 255 1.1× 189 1.5× 61 0.7× 28 0.4× 26 0.5× 11 406
Ar’Quette Grant United States 7 170 0.7× 103 0.8× 61 0.7× 37 0.5× 27 0.5× 8 363
Michał Wójcicki Poland 12 160 0.7× 176 1.4× 30 0.3× 33 0.5× 52 0.9× 40 416
A.S. Barreto Portugal 16 277 1.2× 208 1.7× 59 0.7× 75 1.1× 35 0.6× 35 555

Countries citing papers authored by Daya Marasini

Since Specialization
Citations

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

Fields of papers citing papers by Daya Marasini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daya Marasini

This figure shows the co-authorship network connecting the top 25 collaborators of Daya Marasini. A scholar is included among the top collaborators of Daya Marasini 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 Daya Marasini. Daya Marasini 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.
Blain, Amy, Daya Marasini, Rebecca L. Howie, et al.. (2025). Enhanced Surveillance for Meningococcal Disease—United States, 2015–2019. PLoS ONE. 20(6). e0319940–e0319940.
2.
Kendall, B. E., Victoria D. Alexander, C.L. Hicks, et al.. (2024). Statewide Outbreak of Neisseria meningitidis Serogroup Y, Sequence Type 1466 — Virginia, 2022–2024. MMWR Morbidity and Mortality Weekly Report. 73(43). 973–977. 2 indexed citations
3.
Berry, Isha, Rebecca L. Howie, Shalabh Sharma, et al.. (2024). Selection of Antibiotics as Prophylaxis for Close Contacts of Patients with Meningococcal Disease in Areas with Ciprofloxacin Resistance — United States, 2024. MMWR Morbidity and Mortality Weekly Report. 73(5). 99–103. 7 indexed citations
4.
Howie, Rebecca L., et al.. (2023). Notes from the Field: Increase in Meningococcal Disease Among Persons with HIV — United States, 2022. MMWR Morbidity and Mortality Weekly Report. 72(24). 663–664. 6 indexed citations
5.
Marasini, Daya, et al.. (2021). Impact of cranberry juice consumption on gut and vaginal microbiota in postmenopausal women. SHILAP Revista de lepidopterología. 2(3). 282–293. 7 indexed citations
6.
Lyte, Joshua M., James Keane, Julia Eckenberger, et al.. (2021). Japanese quail (Coturnix japonica) as a novel model to study the relationship between the avian microbiome and microbial endocrinology-based host-microbe interactions. Microbiome. 9(1). 38–38. 17 indexed citations
7.
Threlfall, Renee T., et al.. (2021). Year, Location, and Variety Impact on Grape-, Soil-, and Leaf-Associated Fungal Microbiota of Arkansas-Grown Table Grapes. Microbial Ecology. 82(1). 73–86. 18 indexed citations
8.
Threlfall, Renee T., et al.. (2021). Year, Location, and Variety Impact on Grape-Associated Mycobiota of Arkansas-Grown Wine Grapes for Wine Production. Microbial Ecology. 82(4). 845–858. 12 indexed citations
9.
Buono, Sean, Reagan Kelly, Nadav Topaz, et al.. (2020). Web-Based Genome Analysis of Bacterial Meningitis Pathogens for Public Health Applications Using the Bacterial Meningitis Genomic Analysis Platform (BMGAP). Frontiers in Genetics. 11. 601870–601870. 7 indexed citations
10.
11.
Marasini, Daya, Cindi Brownmiller, Brett J. Savary, et al.. (2020). In Vitro Fecal Fermentation Patterns of Arabinoxylan from Rice Bran on Gut Microbiota in Normal Weight and Overweight/Obese Subjects. Current Developments in Nutrition. 4. nzaa062_017–nzaa062_017. 1 indexed citations
12.
Marasini, Daya, et al.. (2020). Amounts and Botanical Diversity of Dietary Fruits and Vegetables Affect Distinctly the Human Gut Microbiome. Current Developments in Nutrition. 4. nzaa062_002–nzaa062_002.
13.
Lavefve, Laura, Daya Marasini, & Franck Carbonero. (2018). Microbial Ecology of Fermented Vegetables and Non-Alcoholic Drinks and Current Knowledge on Their Impact on Human Health. Advances in food and nutrition research. 87. 147–185. 55 indexed citations
14.
Marasini, Daya, et al.. (2018). Campylobacter coli From Retail Liver and Meat Products Is More Aerotolerant Than Campylobacter jejuni. Frontiers in Microbiology. 9. 2951–2951. 33 indexed citations
15.
Marasini, Daya, et al.. (2018). Phylogenetic Relatedness Among Plasmids Harbored by Campylobacter jejuni and Campylobacter coli Isolated From Retail Meats. Frontiers in Microbiology. 9. 2167–2167. 26 indexed citations
16.
Cornell, Carolyn R., Daya Marasini, & Mohamed K. Fakhr. (2018). Draft Genome Sequences of Megaplasmid-Bearing Streptomyces sp. Strains BF-3 and 4F, Isolated from the Great Salt Plains of Oklahoma. Genome Announcements. 6(14). 3 indexed citations
17.
Cornell, Carolyn R., Daya Marasini, & Mohamed K. Fakhr. (2018). Molecular Characterization of Plasmids Harbored by Actinomycetes Isolated From the Great Salt Plains of Oklahoma Using PFGE and Next Generation Whole Genome Sequencing. Frontiers in Microbiology. 9. 2282–2282. 19 indexed citations
18.
Marasini, Daya & Mohamed K. Fakhr. (2017). Complete Genome Sequences of Plasmid-Bearing Campylobacter coli and Campylobacter jejuni Strains Isolated from Retail Chicken Liver. Genome Announcements. 5(49). 8 indexed citations
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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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