Fernando Meyer

1.9k citations
10 papers · 196 · h-index 7

Impact in

    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions
    • Genomics and Phylogenetic Studies
    • Gut microbiota and health
    • RNA and protein synthesis mechanisms
    • Metabolomics and Mass Spectrometry Studies
    • Gene expression and cancer classification
    • RNA modifications and cancer

Papers in

    • Genomics and Phylogenetic Studies 5
    • Gut microbiota and health 3
    • RNA and protein synthesis mechanisms 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Microbial Community Ecology and Physiology 3

Fernando Meyer

9 papers receiving 195 citations

Peers

Fernando Meyer
Comparison fields: 5 of 36
  • Ecology 69
  • Molecular Biology 156
  • Clinical Biochemistry 7
  • Molecular Medicine 5
  • Information Systems and Management 6
Replace Filip Buric with:
Filip Buric Sweden
Yohan Jarosz Luxembourg
Sheng-Yong Niu United States
Longhao Jia China
Rick Gelhausen Germany
S. B. King United States
Inam Ul Haq Germany
Yanbing Xu Germany
I. Min Chen Czechia
Tomoko Nakamichi Japan
Fernando Meyer relative to Filip Buric Sweden Filip Buric's profile →
Citations per field
00.5×10×15×
Filip Buric · 1×
Citations per year

Countries citing papers authored by Fernando Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando Meyer, 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 Fernando Meyer Line = papers co-authored together Fernando Meyer links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201862
2 201953
3 202129
4 201124
5 202413
6 20226
7 20136
8 20252
9 20181
10
GUI Ant-Miner: Uma versão atualizada do minerador de dados baseado em colônias de formigas
20120

About Fernando Meyer

Fernando Meyer is a scholar working on Molecular Biology, Ecology, Information Systems and Management, Clinical Biochemistry and Molecular Medicine, having authored 10 papers that have together received 196 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Community Ecology and Physiology (3 papers), Gut microbiota and health (3 papers), RNA and protein synthesis mechanisms (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Scientific Computing and Data Management (1 paper), Bacterial Identification and Susceptibility Testing (1 paper) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Ecology (69 citations), Molecular Biology (156 citations), Clinical Biochemistry (7 citations), Molecular Medicine (5 citations) and Information Systems and Management (6 citations). Fernando Meyer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Alice C. McHardy, Peter Belmann, David Koslicki, Adrian Fritz, Alexander Sczyrba, Andreas Bremges, Stefan Janssen, Peter Hofmann, Rubén Garrido‐Oter and Stefan Kurtz. Their work appears in journals such as BMC Bioinformatics, Nature Protocols, Briefings in Bioinformatics, BMC Genomics and Genome 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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