Margo M. Moore

3.8k total citations
76 papers, 3.0k citations indexed

About

Margo M. Moore is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Margo M. Moore has authored 76 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 23 papers in Plant Science and 21 papers in Infectious Diseases. Recurrent topics in Margo M. Moore's work include Antifungal resistance and susceptibility (21 papers), Toxic Organic Pollutants Impact (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Margo M. Moore is often cited by papers focused on Antifungal resistance and susceptibility (21 papers), Toxic Organic Pollutants Impact (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Margo M. Moore collaborates with scholars based in Canada, United States and France. Margo M. Moore's co-authors include Linda J. Pinto, Julie A. Wasylnka, Cassandra Carroll, Adrian Wan, Scott J. Tebbutt, Eberhard Kiehlmann, Anne P. Autor, Leah I. Bendell‐Young, Gerhard Gries and Luis F. Del Rio and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Margo M. Moore

75 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margo M. Moore Canada 33 890 713 620 524 461 76 3.0k
Jana Seifert Germany 42 451 0.5× 2.7k 3.8× 335 0.5× 191 0.4× 992 2.2× 169 5.4k
Alessandro Presentato Italy 27 209 0.2× 1.3k 1.8× 752 1.2× 125 0.2× 488 1.1× 51 4.3k
Khalid Mehmood Pakistan 36 611 0.7× 1.5k 2.1× 386 0.6× 333 0.6× 237 0.5× 253 4.5k
Hung Lee Canada 44 264 0.3× 2.3k 3.2× 893 1.4× 123 0.2× 1.7k 3.6× 163 6.3k
Wolf‐Rainer Abraham Germany 44 175 0.2× 3.3k 4.6× 983 1.6× 165 0.3× 1.3k 2.9× 183 7.4k
Irene Wagner‐Döbler Germany 54 401 0.5× 4.0k 5.7× 413 0.7× 490 0.9× 969 2.1× 154 8.1k
Martina Cappelletti Italy 25 139 0.2× 1.3k 1.8× 488 0.8× 107 0.2× 592 1.3× 84 3.6k
Éric Pelletier France 32 341 0.4× 2.0k 2.8× 283 0.5× 223 0.4× 1.1k 2.5× 80 5.0k
Göran Odham Sweden 27 127 0.1× 681 1.0× 526 0.8× 196 0.4× 259 0.6× 102 2.6k
Rup Lal India 41 246 0.3× 3.2k 4.4× 1.0k 1.7× 181 0.3× 2.3k 5.1× 267 6.9k

Countries citing papers authored by Margo M. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Margo M. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margo M. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Margo M. Moore. A scholar is included among the top collaborators of Margo M. Moore 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 Margo M. Moore. Margo M. Moore 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.
Peach, Daniel A.H., Cassandra Carroll, Suelí Maria Gomes, et al.. (2021). Nectar-dwelling microbes of common tansy are attractive to its mosquito pollinator, Culex pipiens L.. SHILAP Revista de lepidopterología. 21(1). 29–29. 23 indexed citations
2.
Culibrk, Luka, Carys A. Croft, Gurpreet K. Singhera, et al.. (2019). Phagocytosis of Aspergillus fumigatus by Human Bronchial Epithelial Cells Is Mediated by the Arp2/3 Complex and WIPF2. Frontiers in Cellular and Infection Microbiology. 9. 16–16. 13 indexed citations
3.
Culibrk, Luka, Gurpreet K. Singhera, Kyung‐Mee Moon, et al.. (2018). Transcriptomic and proteomic host response to Aspergillus fumigatus conidia in an air-liquid interface model of human bronchial epithelium. PLoS ONE. 13(12). e0209652–e0209652. 24 indexed citations
4.
Cait, Alissa, Andrew J. Bennet, Kelly M. McNagny, et al.. (2018). The Aspergillus fumigatus Sialidase (Kdnase) Contributes to Cell Wall Integrity and Virulence in Amphotericin B-Treated Mice. Frontiers in Microbiology. 8. 2706–2706. 12 indexed citations
5.
Carroll, Cassandra, et al.. (2016). Yeasts Harbored by Vespine Wasps in the Pacific Northwest. Environmental Entomology. 46(2). 217–225. 18 indexed citations
6.
Bennet, Andrew J., et al.. (2013). Kinetic and Structural Evaluation of Selected Active Site Mutants of the Aspergillus fumigatus KDNase (Sialidase). Biochemistry. 52(51). 9177–9186. 9 indexed citations
7.
Ruan, Jian, et al.. (2011). Dual Organism Transcriptomics of Airway Epithelial Cells Interacting with Conidia of Aspergillus fumigatus. PLoS ONE. 6(5). e20527–e20527. 62 indexed citations
8.
Christians, Julian K., Manjinder S. Cheema, Ismael A. Vergara, et al.. (2011). Quantitative Trait Locus (QTL) Mapping Reveals a Role for Unstudied Genes in Aspergillus Virulence. PLoS ONE. 6(4). e19325–e19325. 15 indexed citations
9.
Xu, Guogang, Milton J. Kiefel, Andrew G. Watts, et al.. (2011). The Aspergillus fumigatus Sialidase Is a 3-Deoxy-d-glycero-d-galacto-2-nonulosonic Acid Hydrolase (KDNase). Journal of Biological Chemistry. 286(12). 10783–10792. 30 indexed citations
10.
Mooers, Arne Ø., et al.. (2010). Cloning and characterization of a sialidase from the filamentous fungus, Aspergillus fumigatus. Glycoconjugate Journal. 27(5). 533–548. 22 indexed citations
11.
Pinto, Linda J. & Margo M. Moore. (2009). Screening method to identify inhibitors of siderophore biosynthesis in the opportunistic fungal pathogen,Aspergillus fumigatus. Letters in Applied Microbiology. 49(1). 8–13. 12 indexed citations
12.
Thu, Kelsie L., et al.. (2009). Bacteria on housefly eggs, Musca domestica, suppress fungal growth in chicken manure through nutrient depletion or antifungal metabolites. Die Naturwissenschaften. 96(9). 1127–1132. 43 indexed citations
13.
Rio, Luis F. Del, et al.. (2006). Degradation of naphthenic acids by sediment micro-organisms. Journal of Applied Microbiology. 101(5). 1049–1061. 130 indexed citations
14.
Wasylnka, Julie A., et al.. (2005). Intracellular and extracellular growth ofAspergillus fumigatus. Medical Mycology. 43(s1). 27–30. 28 indexed citations
15.
Moore, Margo M., et al.. (2005). Site-specific rate constants for iron acquisition from transferrin by the Aspergillus fumigatus siderophores N′,N′′,N′′′-triacetylfusarinine C and ferricrocin. JBIC Journal of Biological Inorganic Chemistry. 10(3). 211–220. 25 indexed citations
16.
Rio, Luis F. Del, et al.. (2005). Microbial communities in wetlands of the Athabasca oil sands: genetic and metabolic characterization. FEMS Microbiology Ecology. 55(1). 68–78. 47 indexed citations
17.
Pinto, Linda J., et al.. (2000). Pyrene is metabolized to bound residues by Penicillium janthinellum SFU403. Biodegradation. 11(5). 305–312. 9 indexed citations
18.
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20.
Pinto, Linda J., et al.. (1995). The oxidation of pyrene and benzo[a]pyrene by nonbasidiomycete soil fungi. Canadian Journal of Microbiology. 41(6). 477–488. 71 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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