María A. Gomis-Font

419 citations
21 papers · 221 indexed · h-index 8
Topics
Antibiotic Resistance in Bacteria (20 papers)Antibiotics Pharmacokinetics and Efficacy (10 papers)Bacterial biofilms and quorum sensing (6 papers)

In The Last Decade

María A. Gomis-Font

19 papers receiving 219 citations

Peers

María A. Gomis-Font
Comparison fields: 5 of 25
  • Molecular Medicine 213
  • Pharmacology 124
  • Molecular Biology 69
  • Applied Microbiology and Biotechnology 63
  • Epidemiology 52
Replace Sara Cortés-Lara with:
Sara Cortés-Lara Spain
Amandine Masseron Switzerland
Evangelia Neou Greece
Sergey Altunin Israel
Veronika Wirth Australia
Yael Dishon Benattar Israel
Congrong Li China
Abdullah Tarık Aslan Australia
Paulo Castañeda-Méndez Mexico
R. Daturi Italy
María A. Gomis-Font relative to Sara Cortés-Lara Spain Sara Cortés-Lara's profile →
Citations per field
00.5×1.5×2.2×
Sara Cortés-Lara · 1×
Citations per year

Countries citing papers authored by María A. Gomis-Font

Since Specialization
Citations

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

Fields of papers citing papers by María A. Gomis-Font

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María A. Gomis-Font. 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 A. Gomis-Font. The network helps show where María A. Gomis-Font may publish in the future.

Co-authorship network of co-authors of María A. Gomis-Font

This figure shows the co-authorship network connecting the top 25 collaborators of María A. Gomis-Font. A scholar is included among the top collaborators of María A. Gomis-Font 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 A. Gomis-Font. María A. Gomis-Font 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
#WorkIndexed citations
1 3
2 0
3 0
4 2
5 2
6 7
7 3
8 7
9 1
10 1
11 1
12 2
13 1
14 10
15 29
16 14
17 23
18 21
19 39
20 37

About María A. Gomis-Font

María A. Gomis-Font is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Pharmacology, having authored 21 papers that have together received 221 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Bacterial biofilms and quorum sensing (6 papers). The work is most often cited by research in Molecular Medicine (213 citations), Applied Microbiology and Biotechnology (63 citations) and Pharmacology (124 citations). María A. Gomis-Font has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Antonio Oliver, Gabriel Cabot, Carla López-Causapé, Antonio Oliver, Pablo A. Fraile-Ribot, Xavier Mulet, Laura Zamorano, Carlos Juan, Bartolomé Moyá and Sara Cortés-Lara. Their work appears in journals such as Nature Communications, Antimicrobial Agents and Chemotherapy and PLoS Pathogens.

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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