Ayella Maile-Moskowitz

884 citations
12 papers · 506 indexed · h-index 10
Topics
Pharmaceutical and Antibiotic Environmental Impacts (6 papers)Antibiotic Resistance in Bacteria (5 papers)SARS-CoV-2 detection and testing (4 papers)

In The Last Decade

Ayella Maile-Moskowitz

12 papers receiving 501 citations

Peers

Ayella Maile-Moskowitz
Comparison fields: 5 of 94
  • Pollution 237
  • Molecular Medicine 129
  • Molecular Biology 110
  • Biomedical Engineering 85
  • Ecology 80
Replace Krista Liguori with:
Krista Liguori United States
Erin Milligan United States
Gianuário Fortunato Portugal
Isobel C. Stanton United Kingdom
Linyun Li China
Elena Radu Romania
Nicole Zacharias Germany
Jeanette Calarco United States
David Calderón-Franco Netherlands
Maggie R. Williams United States
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Citations per field
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Citations per year

Countries citing papers authored by Ayella Maile-Moskowitz

Since Specialization
Citations

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

Fields of papers citing papers by Ayella Maile-Moskowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ayella Maile-Moskowitz. 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 Ayella Maile-Moskowitz. The network helps show where Ayella Maile-Moskowitz may publish in the future.

Co-authorship network of co-authors of Ayella Maile-Moskowitz

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 1
3 13
4 35
5 56
6 12
7 78
8 71
9 15
10 27
11 183
12 14

About Ayella Maile-Moskowitz

Ayella Maile-Moskowitz is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Pollution, having authored 12 papers that have together received 506 indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Antibiotic Resistance in Bacteria (5 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (68 citations), Molecular Medicine (129 citations) and Pollution (237 citations). Ayella Maile-Moskowitz has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Peter J. Vikesland, Emily Garner, Suraj Gupta, Ni Zhu, Seju Kang, Amy Pruden, Helmut Bürgmann, Benjamin C. Davis, Matthew F. Blair and Christian Stamm. Their work appears in journals such as Nature Communications, Accounts of Chemical Research and Environmental Science & Technology.

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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