Javier Tamames
Impact in
Papers in
-
- Genomics and Phylogenetic Studies 28
- RNA and protein synthesis mechanisms 10
- Gut microbiota and health 7
- Machine Learning in Bioinformatics 7
- Bioinformatics and Genomic Networks 5
- Ecology 27
- Microbial Community Ecology and Physiology 24
- Bacteriophages and microbial interactions 5
- Co-authors
- Fernando Puente‐Sánchez (13 shared papers)Andrés Moyá (7 shared papers)Alfonso Valencia (15 shared papers)Vı́ctor de Lorenzo (5 shared papers)Christos Ouzounis (10 shared papers)David Páez-Espino (1 shared paper)David Cánovas (1 shared paper)Antonio Quesada (1 shared paper)
- Journals
- Bioinformatics (4 papers)Frontiers in Microbiology (4 papers)Systematic and Applied Microbiology (3 papers)BMC Genomics (3 papers)BMC Bioinformatics (3 papers)
- Partner nations
- SpainUnited KingdomGermany
In The Last Decade
Javier Tamames
74 papers receiving 4.4k citations
Javier Tamames's Hit Papers
Peers
Comparison fields: 5 of 145
- Ecology 1.3k
- Pollution 500
- Environmental Chemistry 400
- Molecular Biology 2.4k
- Molecular Medicine 148
Countries citing papers authored by Javier Tamames
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
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-authors
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.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 414 | |
| 2 | 2009 | 333 | |
| 3 | 2009 | 318 | |
| 4 | SqueezeMeta, A Highly Portable, Fully Automatic Metagenomic Analysis Pipeline Hit paper breakdown → | 2019 | 306 |
| 5 | 2002 | 266 | |
| 6 | 2013 | 195 | |
| 7 | 2001 | 173 | |
| 8 | 2010 | 166 | |
| 9 | 1999 | 164 | |
| 10 | 1997 | 159 | |
| 11 | 2019 | 151 | |
| 12 | 2018 | 111 | |
| 13 | 2012 | 107 | |
| 14 | 2007 | 99 | |
| 15 | 2019 | 92 | |
| 16 | 2001 | 90 | |
| 17 | 1995 | 80 | |
| 18 | 2020 | 78 | |
| 19 | 2005 | 69 | |
| 20 | 2003 | 59 |
About Javier Tamames
Javier Tamames is a scholar working on Molecular Biology, Ecology, Genetics, Environmental Chemistry and Pollution, having authored 75 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (28 papers), Microbial Community Ecology and Physiology (24 papers), RNA and protein synthesis mechanisms (10 papers), Gut microbiota and health (7 papers), Machine Learning in Bioinformatics (7 papers), Bioinformatics and Genomic Networks (5 papers), Probiotics and Fermented Foods (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Ecology (1.3k citations), Pollution (500 citations), Environmental Chemistry (400 citations), Molecular Biology (2.4k citations) and Molecular Medicine (148 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, David Velázquez and Alberto López-Bueno. Their work appears in journals such as Bioinformatics, Frontiers in Microbiology, Systematic and Applied Microbiology, BMC Genomics and BMC Bioinformatics.
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.