Maïté Novo

2.5k total citations
31 papers, 1.9k citations indexed

About

Maïté Novo is a scholar working on Molecular Biology, Food Science and Plant Science. According to data from OpenAlex, Maïté Novo has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Food Science and 10 papers in Plant Science. Recurrent topics in Maïté Novo's work include Fermentation and Sensory Analysis (17 papers), Fungal and yeast genetics research (12 papers) and Horticultural and Viticultural Research (9 papers). Maïté Novo is often cited by papers focused on Fermentation and Sensory Analysis (17 papers), Fungal and yeast genetics research (12 papers) and Horticultural and Viticultural Research (9 papers). Maïté Novo collaborates with scholars based in Spain, France and United States. Maïté Novo's co-authors include Albert Mas, Nicolás Rozés, José Manuel Guillamón, Gemma Beltran, María-Jesús Torija, Sylvie Dequin, Virginie Galéote, Antón Masa, Federico Pomar and Montse Poblet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Maïté Novo

31 papers receiving 1.8k citations

Peers

Maïté Novo
Comparison fields: 5 of 101
  • Food Science 1.4k
  • Molecular Biology 996
  • Plant Science 954
  • Biochemistry 212
  • Biomedical Engineering 191
Replace Isabelle Sanchez with:
Isabelle Sanchez France
Philippe Marullo France
Marius G. Lambrechts South Africa
Mathabatha Evodia Setati South Africa
Michèle Guilloux-Bénatier France
Jordi Ballester France
Virginie Galéote France
Bruno Blondin France
André Barata Portugal
Emilia Matallana Spain
Isabelle Sanchez France View profile →
Citations per field, relative to Maïté Novo
Maïté Novo · 1×
Citations per year, relative to Maïté Novo
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Countries citing papers authored by Maïté Novo

Since Specialization
Citations

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

Fields of papers citing papers by Maïté Novo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maïté Novo

This figure shows the co-authorship network connecting the top 25 collaborators of Maïté Novo. A scholar is included among the top collaborators of Maïté Novo 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 Maïté Novo. Maïté Novo 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
# Work Indexed citations
1 1
2 1
3 13
4 3
5 4
6 32
7 21
8 48
9 61
10 45
11 180
12 95
13 39
14 137
15 25
16 15
17 149
18 24
19 202
20 176

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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