Javier Tamames

6.4k citations
67 papers · 3.9k indexed · 1 hit paper · h-index 29

Impact in

  • Ecology top 1%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions
  • Pollution top 2%

Papers in

    • Microbial Community Ecology and Physiology 26
    • Bacteriophages and microbial interactions 6
    • Genomics and Phylogenetic Studies 32
    • Gut microbiota and health 12
    • RNA and protein synthesis mechanisms 11
    • Machine Learning in Bioinformatics 7
    • Bioinformatics and Genomic Networks 7

Javier Tamames

66 papers receiving 3.8k citations

Hit Papers

SqueezeMeta, A Highly Portable, Fully Automatic Metagenomic Analysis Pipeline 2019 · 268 citations
268201920262021202350100150200250

Peers

Javier Tamames
Comparison fields: 5 of 137
  • Ecology 1.3k
  • Pollution 456
  • Environmental Chemistry 365
  • Molecular Biology 2.3k
  • Insect Science 359
Replace Zhengwei Zhu with:
Zhengwei Zhu China
Cliff Han United States
Stephanie Malfatti United States
Alessio Mengoni Italy
Alice C. McHardy Germany
Robert L. Mach Austria
Dmitry Meleshko United States
Philippe Normand France
Gabriel Moreno‐Hagelsieb Canada
Pallavi Subhraveti United States
Javier Tamames relative to Zhengwei Zhu China Zhengwei Zhu's profile →
Citations per field
00.5×1.5×1.8×
Zhengwei Zhu · 1×
Citations per year

Countries citing papers authored by Javier Tamames

Since Specialization
Citations

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

Fields of papers citing papers by Javier Tamames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202412
2 20241
3 202311
4 20221
5 202226
6 202117
7 202070
8 2019145
9 201936
10 2018103
11 20186
12 201420
13 201414
14 201126
15 2009302
16 200835
17 200728
18 200439
19 200228
20 1997136

About Javier Tamames

Javier Tamames is a scholar working on Ecology, Molecular Biology, Environmental Chemistry, Molecular Medicine and Pollution, having authored 67 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (32 papers), Microbial Community Ecology and Physiology (26 papers), Gut microbiota and health (12 papers), RNA and protein synthesis mechanisms (11 papers), Machine Learning in Bioinformatics (7 papers), Bioinformatics and Genomic Networks (7 papers), Bacteriophages and microbial interactions (6 papers) and Probiotics and Fermented Foods (5 papers). The work is most often cited by research in Ecology (1.3k citations), Pollution (456 citations), Environmental Chemistry (365 citations), Molecular Biology (2.3k citations) and Insect Science (359 citations). Javier Tamames has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Fernando Puente‐Sánchez, Andrés Moyá, Alfonso Valencia, Vı́ctor de Lorenzo, Christos Ouzounis, David Páez-Espino, David Cánovas, Antonio Quesada, Alberto López-Bueno and Antonio Alcamı́. Their work appears in journals such as Frontiers in Microbiology, Bioinformatics, Systematic and Applied Microbiology, BMC Bioinformatics and BMC Genomics.

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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