Scarlett Geunes-Boyer

1.0k total citations
8 papers, 787 citations indexed

About

Scarlett Geunes-Boyer is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Scarlett Geunes-Boyer has authored 8 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Scarlett Geunes-Boyer's work include Fungal Infections and Studies (5 papers), Antifungal resistance and susceptibility (4 papers) and Plant Disease Resistance and Genetics (2 papers). Scarlett Geunes-Boyer is often cited by papers focused on Fungal Infections and Studies (5 papers), Antifungal resistance and susceptibility (4 papers) and Plant Disease Resistance and Genetics (2 papers). Scarlett Geunes-Boyer collaborates with scholars based in United States, Poland and France. Scarlett Geunes-Boyer's co-authors include Joseph Heitman, Jo Rae Wright, Yen‐Ping Hsueh, John R. Perfect, Andria Allen, Fred S. Dietrich, James A. Fraser, Jason Stajich, Stephanie Diezmann and Steven S. Giles and has published in prestigious journals such as Nature, Infection and Immunity and Genomics.

In The Last Decade

Scarlett Geunes-Boyer

8 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scarlett Geunes-Boyer United States 7 653 515 207 167 145 8 787
Laura H. Okagaki United States 9 613 0.9× 526 1.0× 259 1.3× 133 0.8× 169 1.2× 10 801
Flávia Villaça Morais Brazil 9 455 0.7× 265 0.5× 134 0.6× 240 1.4× 193 1.3× 20 567
Soraya Dı́ez Colombia 11 433 0.7× 322 0.6× 105 0.5× 192 1.1× 105 0.7× 11 529
María Elena Salazar Colombia 11 543 0.8× 336 0.7× 89 0.4× 115 0.7× 103 0.7× 22 647
Kennio Ferreira‐Paim Brazil 16 531 0.8× 426 0.8× 68 0.3× 139 0.8× 80 0.6× 30 655
Aldo Henrique Tavares Brazil 16 376 0.6× 266 0.5× 91 0.4× 76 0.5× 203 1.4× 29 574
Esperanza Duarte-Escalante Mexico 13 220 0.3× 194 0.4× 104 0.5× 115 0.7× 61 0.4× 41 397
Roseli Santos de Freitas Brazil 12 440 0.7× 275 0.5× 174 0.8× 259 1.6× 85 0.6× 36 595
Eric D. Holbrook United States 10 304 0.5× 234 0.5× 120 0.6× 47 0.3× 133 0.9× 14 422
Luciano dos Santos Feitosa Brazil 7 236 0.4× 160 0.3× 96 0.5× 94 0.6× 85 0.6× 10 321

Countries citing papers authored by Scarlett Geunes-Boyer

Since Specialization
Citations

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

Fields of papers citing papers by Scarlett Geunes-Boyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scarlett Geunes-Boyer. 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 Scarlett Geunes-Boyer. The network helps show where Scarlett Geunes-Boyer may publish in the future.

Co-authorship network of co-authors of Scarlett Geunes-Boyer

This figure shows the co-authorship network connecting the top 25 collaborators of Scarlett Geunes-Boyer. A scholar is included among the top collaborators of Scarlett Geunes-Boyer 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 Scarlett Geunes-Boyer. Scarlett Geunes-Boyer 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.
Kloner, Robert A., et al.. (2013). Efficacy and Safety of Ranolazine in Patients With Chronic Stable Angina. Postgraduate Medicine. 125(6). 43–52. 8 indexed citations
2.
Geunes-Boyer, Scarlett, Michael F. Beers, John R. Perfect, Joseph Heitman, & Jo Rae Wright. (2012). Surfactant Protein D Facilitates Cryptococcus neoformans Infection. Infection and Immunity. 80(7). 2444–2453. 30 indexed citations
3.
Geunes-Boyer, Scarlett, Joseph Heitman, Jo Rae Wright, & William J. Steinbach. (2010). Surfactant protein D binding toAspergillus fumigatushyphae is calcineurin-sensitive. Medical Mycology. 48(4). 580–588. 10 indexed citations
4.
Geunes-Boyer, Scarlett, Timothy N. Oliver, Guilhem Janbon, et al.. (2009). Surfactant Protein D Increases Phagocytosis of HypocapsularCryptococcus neoformansby Murine Macrophages and Enhances Fungal Survival. Infection and Immunity. 77(7). 2783–2794. 51 indexed citations
5.
Hsueh, Yen‐Ping, et al.. (2009). Spores as Infectious Propagules ofCryptococcus neoformans. Infection and Immunity. 77(10). 4345–4355. 251 indexed citations
6.
Bahn, Yong‐Sun, Scarlett Geunes-Boyer, & Joseph Heitman. (2007). Ssk2 Mitogen-Activated Protein Kinase Kinase Kinase Governs Divergent Patterns of the Stress-Activated Hog1 Signaling Pathway in Cryptococcus neoformans. Eukaryotic Cell. 6(12). 2278–2289. 50 indexed citations
7.
Fraser, James A., Steven S. Giles, Scarlett Geunes-Boyer, et al.. (2005). Same-sex mating and the origin of the Vancouver Island Cryptococcus gattii outbreak. Nature. 437(7063). 1360–1364. 384 indexed citations
8.
Geunes-Boyer, Scarlett, et al.. (2003). Organization and annotation of the Xcat critical region: elimination of seven positional candidate genes. Genomics. 83(5). 893–901. 3 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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