Carol A. Kumamoto

8.4k total citations
110 papers, 6.9k citations indexed

About

Carol A. Kumamoto is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Carol A. Kumamoto has authored 110 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 53 papers in Infectious Diseases and 32 papers in Epidemiology. Recurrent topics in Carol A. Kumamoto's work include Antifungal resistance and susceptibility (47 papers), Fungal Infections and Studies (30 papers) and Bacterial Genetics and Biotechnology (28 papers). Carol A. Kumamoto is often cited by papers focused on Antifungal resistance and susceptibility (47 papers), Fungal Infections and Studies (30 papers) and Bacterial Genetics and Biotechnology (28 papers). Carol A. Kumamoto collaborates with scholars based in United States, Canada and Germany. Carol A. Kumamoto's co-authors include Marcelo D. Vinces, Jon Beckwith, Perry J. Riggle, Michael D. LaFleur, Kim Lewis, Jessica V. Pierce, Xi Chen, D. H. Brown, Olivera Francetić and Malcolm Whiteway and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Carol A. Kumamoto

108 papers receiving 6.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol A. Kumamoto United States 47 4.2k 2.8k 1.9k 1.7k 825 110 6.9k
David E. Heinrichs Canada 56 3.7k 0.9× 2.2k 0.8× 2.2k 1.2× 420 0.2× 452 0.5× 128 7.0k
Dominique Missiakas United States 62 7.8k 1.9× 4.6k 1.6× 3.0k 1.6× 945 0.6× 617 0.7× 179 12.3k
Michael G. Caparon United States 55 2.8k 0.7× 4.1k 1.5× 798 0.4× 1.7k 1.0× 468 0.6× 122 8.8k
Susanne Engelmann Germany 50 4.6k 1.1× 3.0k 1.1× 1.9k 1.0× 402 0.2× 546 0.7× 125 7.0k
Paul M. Dunman United States 50 5.6k 1.4× 4.7k 1.7× 1.6k 0.9× 692 0.4× 440 0.5× 127 8.7k
Ambrose L. Cheung United States 75 9.1k 2.2× 8.6k 3.1× 2.5k 1.4× 1.4k 0.8× 536 0.6× 179 14.6k
Knut Ohlsen Germany 45 3.7k 0.9× 3.0k 1.1× 946 0.5× 572 0.3× 330 0.4× 117 6.2k
Jos P. M. van Putten Netherlands 55 2.8k 0.7× 1.6k 0.6× 1.2k 0.6× 1.5k 0.9× 1.8k 2.2× 189 8.7k
Steffen Backert Germany 68 3.3k 0.8× 1.5k 0.5× 853 0.5× 730 0.4× 1.3k 1.6× 226 12.9k
Joan Mecsas United States 38 3.0k 0.7× 920 0.3× 2.3k 1.3× 757 0.4× 495 0.6× 72 6.8k

Countries citing papers authored by Carol A. Kumamoto

Since Specialization
Citations

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

Fields of papers citing papers by Carol A. Kumamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol A. Kumamoto. 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 Carol A. Kumamoto. The network helps show where Carol A. Kumamoto may publish in the future.

Co-authorship network of co-authors of Carol A. Kumamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Carol A. Kumamoto. A scholar is included among the top collaborators of Carol A. Kumamoto 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 Carol A. Kumamoto. Carol A. Kumamoto 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.
2.
Day, A. W. & Carol A. Kumamoto. (2023). Interplay between host and Candida albicans during commensal gut colonization. PLoS Pathogens. 19(9). e1011607–e1011607. 3 indexed citations
3.
4.
Romo, Jesús A. & Carol A. Kumamoto. (2022). Characterization of the Effects of Candida Gastrointestinal Colonization on Clostridioides difficile Infection in a Murine Model. Methods in molecular biology. 2542. 271–285. 3 indexed citations
5.
Kumamoto, Carol A., Mark S. Gresnigt, & Bernhard Hube. (2020). The gut, the bad and the harmless: Candida albicans as a commensal and opportunistic pathogen in the intestine. Current Opinion in Microbiology. 56. 7–15. 130 indexed citations
6.
Tscherner, Michael, et al.. (2019). A Synthetic System That Senses Candida albicans and Inhibits Virulence Factors. ACS Synthetic Biology. 8(2). 434–444. 22 indexed citations
7.
Pic, Émilie, et al.. (2019). A novel genetic circuitry governing hypoxic metabolic flexibility, commensalism and virulence in the fungal pathogen Candida albicans. PLoS Pathogens. 15(12). e1007823–e1007823. 30 indexed citations
8.
Chen, Ying, Yinan Lin, Kimberly M. Davis, et al.. (2015). Robust bioengineered 3D functional human intestinal epithelium. Scientific Reports. 5(1). 13708–13708. 147 indexed citations
9.
Strijbis, Karin, Ömer Yılmaz, Stephanie K. Dougan, et al.. (2014). Intestinal Colonization by Candida albicans Alters Inflammatory Responses in Bruton's Tyrosine Kinase-Deficient Mice. PLoS ONE. 9(11). e112472–e112472. 8 indexed citations
10.
Zucchi, Paola, et al.. (2013). Calmodulin Binding to Dfi1p Promotes Invasiveness of Candida albicans. PLoS ONE. 8(10). e76239–e76239. 8 indexed citations
11.
Pérez, J. Christian, Carol A. Kumamoto, & Alexander D. Johnson. (2013). Candida albicans Commensalism and Pathogenicity Are Intertwined Traits Directed by a Tightly Knit Transcriptional Regulatory Circuit. PLoS Biology. 11(3). e1001510–e1001510. 127 indexed citations
12.
Pierce, Jessica V. & Carol A. Kumamoto. (2012). Variation in Candida albicans EFG1 Expression Enables Host-Dependent Changes in Colonizing Fungal Populations. mBio. 3(4). e00117–12. 110 indexed citations
13.
Kumamoto, Carol A.. (2011). Inflammation and gastrointestinal Candida colonization. Current Opinion in Microbiology. 14(4). 386–391. 179 indexed citations
14.
Bruzual, Igor & Carol A. Kumamoto. (2011). An MDR1 promoter allele with higher promoter activity is common in clinically isolated strains of Candida albicans. Molecular Genetics and Genomics. 286(5-6). 347–357. 6 indexed citations
15.
Dignard, Daniel, et al.. (2010). Adaptations of Candida albicans for Growth in the Mammalian Intestinal Tract. Eukaryotic Cell. 9(7). 1075–1086. 113 indexed citations
16.
Carruthers, Vern B., Peggy A. Cotter, & Carol A. Kumamoto. (2007). Microbial Pathogenesis: Mechanisms of Infectious Disease. Cell Host & Microbe. 2(4). 214–219. 17 indexed citations
17.
Schierle, Clark F., Mehmet Berkmen, Damon Huber, et al.. (2003). The DsbA Signal Sequence Directs Efficient, Cotranslational Export of Passenger Proteins to the Escherichia coli Periplasm via the Signal Recognition Particle Pathway. Journal of Bacteriology. 185(19). 5706–5713. 169 indexed citations
18.
Vinces, Marcelo D., et al.. (2002). Invasive Filamentous Growth of Candida albicans Is Promoted by Czf1p-Dependent Relief of Efg1p-Mediated Repression. Genetics. 160(4). 1749–1753. 82 indexed citations
19.
Fekkes, Peter, Janny G. de Wit, Jeroen P.W. van der Wolk, et al.. (1998). Preprotein transfer to the Escherichia coli translocase requires the co‐operative binding of SecB and the signal sequence to SecA. Molecular Microbiology. 29(5). 1179–1190. 97 indexed citations
20.
Kimsey, Harvey H., Mirabelle Dagarag, & Carol A. Kumamoto. (1995). Diverse Effects of Mutation on the Activity of the Escherichia coli Export Chaperone SecB. Journal of Biological Chemistry. 270(39). 22831–22835. 41 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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