María Fiuza

532 citations
15 papers · 413 indexed · h-index 12
Topics
Microbial Metabolic Engineering and Bioproduction (6 papers)Bacterial Genetics and Biotechnology (4 papers)Neuroscience and Neuropharmacology Research (3 papers)

In The Last Decade

María Fiuza

15 papers receiving 410 citations

Peers

María Fiuza
Comparison fields: 5 of 69
  • Molecular Biology 297
  • Genetics 138
  • Cellular and Molecular Neuroscience 97
  • Infectious Diseases 50
  • Ecology 48
Replace Luciana Paoletti with:
Luciana Paoletti Argentina
Valerie Price United States
Ryoko Tatsumi Japan
Hans Krügel Germany
Annika Rogstam Sweden
Frank Spaltmann Germany
Saad Hannan United Kingdom
Andy Schneider Germany
Daphne Bazopoulou United States
María Fiuza relative to Luciana Paoletti Argentina Luciana Paoletti's profile →
Citations per field
00.5×2.9×
Luciana Paoletti · 1×
Citations per year

Countries citing papers authored by María Fiuza

Since Specialization
Citations

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

Fields of papers citing papers by María Fiuza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Fiuza

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 11
2 25
3 49
4 18
5 32
6 3
7 11
8 28
9 16
10 20
11 1
12 47
13 53
14 78
15
Characterization of the promoter region of ftsZ from Corynebacterium glutamicum and controlled overexpression of FtsZ.
21

About María Fiuza

María Fiuza is a scholar working on Analytical Chemistry, Environmental Chemistry and Molecular Biology, having authored 15 papers that have together received 413 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (6 papers), Bacterial Genetics and Biotechnology (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (97 citations), Genetics (138 citations) and Molecular Medicine (23 citations). María Fiuza has collaborated with scholars based in Spain, United Kingdom and Mexico. Frequent co-authors include José A. Gil, Luís M. Mateos, Michal Letek, Jonathan G. Hanley, Almudena F. Villadangos, Virginie Molle, Isabelle Zanella‐Cléon, Marc J. Canova, Efrén Ordóñez and Michel Becchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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