Philippe Marullo

2.7k total citations
51 papers, 1.9k citations indexed

About

Philippe Marullo is a scholar working on Food Science, Plant Science and Molecular Biology. According to data from OpenAlex, Philippe Marullo has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Food Science, 38 papers in Plant Science and 32 papers in Molecular Biology. Recurrent topics in Philippe Marullo's work include Fermentation and Sensory Analysis (48 papers), Horticultural and Viticultural Research (36 papers) and Fungal and yeast genetics research (23 papers). Philippe Marullo is often cited by papers focused on Fermentation and Sensory Analysis (48 papers), Horticultural and Viticultural Research (36 papers) and Fungal and yeast genetics research (23 papers). Philippe Marullo collaborates with scholars based in France, Spain and Australia. Philippe Marullo's co-authors include Warren Albertin, Marina Bely, Isabelle Masneuf‐Pomarède, Denis Dubourdieu, Pascal Durrens, Aline Lonvaud‐Funel, Michel Aigle, Delphine Sicard, Cécile Miot‐Sertier and David James Sherman and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Philippe Marullo

51 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Marullo France 26 1.6k 1.2k 944 282 193 51 1.9k
Warren Albertin France 28 1.8k 1.1× 1.5k 1.3× 967 1.0× 390 1.4× 257 1.3× 73 2.4k
Isabelle Sanchez France 25 1.4k 0.9× 913 0.8× 820 0.9× 188 0.7× 131 0.7× 45 1.7k
Marina Bely France 31 2.9k 1.8× 2.1k 1.8× 1.0k 1.1× 564 2.0× 526 2.7× 48 3.2k
Thomas Henick‐Kling United States 21 1.0k 0.6× 636 0.5× 395 0.4× 160 0.6× 121 0.6× 47 1.3k
Christian A. Lopes Argentina 26 1.3k 0.8× 1.1k 0.9× 577 0.6× 272 1.0× 140 0.7× 59 1.6k
Virginie Galéote France 18 995 0.6× 618 0.5× 1.1k 1.2× 104 0.4× 33 0.2× 31 1.5k
Beatriz Herrera‐Malaver Belgium 14 664 0.4× 453 0.4× 500 0.5× 68 0.2× 41 0.2× 28 1.1k
Cécile Miot‐Sertier France 20 1.1k 0.7× 818 0.7× 305 0.3× 250 0.9× 156 0.8× 48 1.3k
Jordi Tronchoni Spain 16 828 0.5× 566 0.5× 415 0.4× 163 0.6× 113 0.6× 35 997
María-Carmen Martínez Spain 21 806 0.5× 1.1k 0.9× 226 0.2× 231 0.8× 277 1.4× 82 1.3k

Countries citing papers authored by Philippe Marullo

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Marullo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Marullo. 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 Philippe Marullo. The network helps show where Philippe Marullo may publish in the future.

Co-authorship network of co-authors of Philippe Marullo

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Marullo. A scholar is included among the top collaborators of Philippe Marullo 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 Philippe Marullo. Philippe Marullo 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.
Costa, Grégory Da, et al.. (2024). Targeted 1−H-NMR wine analyses revealed specific metabolomic signatures of yeast populations belonging to the Saccharomyces genus. Food Microbiology. 120. 104463–104463. 2 indexed citations
2.
Marullo, Philippe, et al.. (2024). Up-regulation of Retrograde Response in yeast increases glycerol and reduces ethanol during wine fermentation. Journal of Biotechnology. 390. 28–38. 3 indexed citations
3.
4.
Miot‐Sertier, Cécile, Philippe Marullo, Giovanna Ferrari, et al.. (2022). Evaluating the influence of operational parameters of pulsed light on wine related yeasts: focus on inter- and intra-specific variability sensitivity. Food Microbiology. 109. 104121–104121. 6 indexed citations
5.
Richard, Bruce, et al.. (2022). New malic acid producer strains of Saccharomyces cerevisiae for preserving wine acidity during alcoholic fermentation. Food Microbiology. 112. 104209–104209. 25 indexed citations
6.
Miot‐Sertier, Cécile, et al.. (2021). Wine yeast species show strong inter- and intra-specific variability in their sensitivity to ultraviolet radiation. Food Microbiology. 100. 103864–103864. 10 indexed citations
7.
Friedrich, Anne, et al.. (2019). Quantitative Trait Nucleotides Impacting the Technological Performances of Industrial Saccharomyces cerevisiae Strains. Frontiers in Genetics. 10. 683–683. 28 indexed citations
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9.
10.
Tempère, Sophie, et al.. (2018). The complexity of wine: clarifying the role of microorganisms. Applied Microbiology and Biotechnology. 102(9). 3995–4007. 76 indexed citations
11.
Albertin, Warren, Cécile Miot‐Sertier, Joana Coulon, et al.. (2017). Combined effect of the Saccharomyces cerevisiae lag phase and the non-Saccharomyces consortium to enhance wine fruitiness and complexity. Applied Microbiology and Biotechnology. 101(20). 7603–7620. 31 indexed citations
12.
Masneuf‐Pomarède, Isabelle, Marina Bely, Philippe Marullo, & Warren Albertin. (2016). The Genetics of Non-conventional Wine Yeasts: Current Knowledge and Future Challenges. Frontiers in Microbiology. 6. 1563–1563. 84 indexed citations
13.
Marullo, Philippe, et al.. (2015). Nitrogen modulation of yeast fitness and viability during sparkling wine production. Food Microbiology. 54. 106–114. 13 indexed citations
14.
Albertin, Warren, et al.. (2014). Winemaking and Bioprocesses Strongly Shaped the Genetic Diversity of the Ubiquitous Yeast Torulaspora delbrueckii. PLoS ONE. 9(4). e94246–e94246. 63 indexed citations
15.
Blein‐Nicolas, Mélisande, Warren Albertin, Benoît Valot, et al.. (2013). Yeast Proteome Variations Reveal Different Adaptive Responses to Grape Must Fermentation. Molecular Biology and Evolution. 30(6). 1368–1383. 31 indexed citations
16.
Albertin, Warren, Philippe Marullo, Marina Bely, et al.. (2012). Linking Post-Translational Modifications and Variation of Phenotypic Traits. Molecular & Cellular Proteomics. 12(3). 720–735. 17 indexed citations
17.
Albertin, Warren, Philippe Marullo, M. Aigle, et al.. (2009). Evidence for autotetraploidy associated with reproductive isolation in Saccharomyces cerevisiae: towards a new domesticated species. Journal of Evolutionary Biology. 22(11). 2157–2170. 48 indexed citations
18.
Renault, Philippe, Cécile Miot‐Sertier, Philippe Marullo, et al.. (2009). Genetic characterization and phenotypic variability in Torulaspora delbrueckii species: Potential applications in the wine industry. International Journal of Food Microbiology. 134(3). 201–210. 135 indexed citations
19.
Marullo, Philippe, Gaël Yvert, Marina Bely, Michel Aigle, & Denis Dubourdieu. (2007). Efficient use of DNA molecular markers to construct industrial yeast strains. FEMS Yeast Research. 7(8). 1295–1306. 18 indexed citations
20.
Marullo, Philippe, Michel Aigle, Marina Bely, et al.. (2007). Single QTL mapping and nucleotide-level resolution of a physiologic trait in wineSaccharomyces cerevisiaestrains. FEMS Yeast Research. 7(6). 941–952. 78 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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