Marcelo D. Vinces

2.4k total citations
9 papers, 1.8k citations indexed

About

Marcelo D. Vinces is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Marcelo D. Vinces has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Marcelo D. Vinces's work include Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (5 papers) and Fungal and yeast genetics research (3 papers). Marcelo D. Vinces is often cited by papers focused on Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (5 papers) and Fungal and yeast genetics research (3 papers). Marcelo D. Vinces collaborates with scholars based in United States, Belgium and France. Marcelo D. Vinces's co-authors include Carol A. Kumamoto, Kevin J. Verstrepen, Matthieu Legendre, Rita Gemayel, Marina Caldara, Masaki Hagihara, Gerald R. Fink, M.C. Prévost, Kevin R. Foster and Jean‐Paul Latgé and has published in prestigious journals such as Science, Cell and Genetics.

In The Last Decade

Marcelo D. Vinces

9 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcelo D. Vinces United States	9	1.1k	595	421	390	347	9	1.8k
Cécile Fairhead France	27	1.5k 1.4×	413 0.7×	334 0.8×	256 0.7×	509 1.5×	46	2.0k
Olin Silander New Zealand	20	962 0.9×	219 0.4×	100 0.2×	740 1.9×	240 0.7×	37	1.9k
Hans‐Ulrich Mösch Germany	24	1.9k 1.8×	334 0.6×	211 0.5×	130 0.3×	541 1.6×	42	2.2k
Michele LeRoux United States	22	920 0.9×	134 0.2×	163 0.4×	619 1.6×	178 0.5×	40	2.5k
Trevor R. Sorrells United States	10	481 0.4×	558 0.9×	369 0.9×	126 0.3×	131 0.4×	11	982
Anna Cohuet France	38	669 0.6×	272 0.5×	104 0.2×	273 0.7×	596 1.7×	92	3.5k
Shengbo Cao China	32	794 0.7×	1.2k 2.0×	451 1.1×	243 0.6×	105 0.3×	125	3.0k
Alvaro Molina-Cruz United States	28	900 0.8×	496 0.8×	212 0.5×	189 0.5×	224 0.6×	49	3.8k
An Jansen Belgium	14	1.2k 1.1×	89 0.1×	63 0.1×	370 0.9×	351 1.0×	15	1.6k
Henry V. Huang United States	22	1.3k 1.2×	460 0.8×	242 0.6×	807 2.1×	304 0.9×	30	2.5k

Countries citing papers authored by Marcelo D. Vinces

Since Specialization

Citations

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

Fields of papers citing papers by Marcelo D. Vinces

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo D. Vinces. 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 Marcelo D. Vinces. The network helps show where Marcelo D. Vinces may publish in the future.

Co-authorship network of co-authors of Marcelo D. Vinces

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

All Works

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9 of 9 papers shown

Voordeckers, Karin, Dries De Maeyer, Elisa van der Zande, et al.. (2012). Identification of a complex genetic network underlying Saccharomyces cerevisiae colony morphology. Molecular Microbiology. 86(1). 225–239. 62 indexed citations

Gemayel, Rita, Marcelo D. Vinces, Matthieu Legendre, & Kevin J. Verstrepen. (2010). Variable Tandem Repeats Accelerate Evolution of Coding and Regulatory Sequences. Annual Review of Genetics. 44(1). 445–477. 446 indexed citations

Vinces, Marcelo D., Matthieu Legendre, Marina Caldara, Masaki Hagihara, & Kevin J. Verstrepen. (2009). Unstable Tandem Repeats in Promoters Confer Transcriptional Evolvability. Science. 324(5931). 1213–1216. 280 indexed citations

Smukalla, Scott, Marina Caldara, Nathalie Pochet, et al.. (2008). FLO1 Is a Variable Green Beard Gene that Drives Biofilm-like Cooperation in Budding Yeast. Cell. 135(4). 726–737. 343 indexed citations

Vinces, Marcelo D. & Carol A. Kumamoto. (2007). The morphogenetic regulator Czf1p is a DNA-binding protein that regulates white–opaque switching in Candida albicans. Microbiology. 153(9). 2877–2884. 42 indexed citations

Vinces, Marcelo D., et al.. (2006). Expression of the Candida albicans Morphogenesis Regulator Gene CZF1 and Its Regulation by Efg1p and Czf1p. Eukaryotic Cell. 5(5). 825–835. 51 indexed citations

Kumamoto, Carol A. & Marcelo D. Vinces. (2005). Contributions of hyphae and hypha-co-regulated genes to Candida albicans virulence. Cellular Microbiology. 7(11). 1546–1554. 317 indexed citations

Kumamoto, Carol A. & Marcelo D. Vinces. (2005). ALTERNATIVECANDIDA ALBICANSLIFESTYLES: Growth on Surfaces. Annual Review of Microbiology. 59(1). 113–133. 193 indexed citations

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

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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