Federico Laich

17 papers receiving 298 citations

Peers

Federico Laich
Comparison fields: 5 of 58
  • Biotechnology 52
  • Food Science 82
  • Biochemistry 26
  • Pharmacology 73
  • Cell Biology 60
Replace Sylvain Chéreau with:
Sylvain Chéreau France
Hayam M. Fathy Egypt
Glória Maria Direito Brazil
Pengyu Zhao China
Jesper Mølgaard Mogensen Denmark
Isabel Fernandes Portugal
Yongxiang Liu China
Sabina Anžlovar Slovenia
Nathan Broekaert Belgium
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Federico Laich relative to Sylvain Chéreau France Sylvain Chéreau's profile →
Citations per field
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Citations per year

Countries citing papers authored by Federico Laich

Since Specialization
Citations

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

Fields of papers citing papers by Federico Laich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Federico Laich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Federico Laich Line = papers co-authored together Federico Laich links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200253
2 199946
3 201039
4 202128
5 201128
6 201528
7 201321
8 201414
9 200314
10 201611
11 201210
12 20096
13 20193
14
Evaluación del método de difusión en disco de 30 ug de cefoxitina en la detección de resistencia a meticilina en aislamientos seleccionados de Staphylococcus aureus
20083
15 20242
16 20242
17 20112

About Federico Laich

Federico Laich is a scholar working on Cell Biology, Plant Science, Molecular Biology, Pharmacology and Infectious Diseases, having authored 17 papers that have together received 310 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (6 papers), Yeasts and Rust Fungi Studies (4 papers), Polar Research and Ecology (3 papers), Mycotoxins in Agriculture and Food (3 papers), Fermentation and Sensory Analysis (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Microbial Metabolism and Applications (2 papers). The work is most often cited by research in Biotechnology (52 citations), Food Science (82 citations), Biochemistry (26 citations), Pharmacology (73 citations) and Cell Biology (60 citations). Federico Laich has collaborated with scholars based in Spain, Chile and Argentina. Frequent co-authors include Francisco Fierro, Juan F. Martı́n, Renato Chávez, Inmaculada Vaca, Rosa E. Cardoza, Sara S. González, Mónica González, Eva Dorta, M. Lobo and Albert Mas. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, International Journal of Food Microbiology, Applied and Environmental Microbiology, Frontiers in Microbiology and Antonie van Leeuwenhoek.

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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