Daniel Tamarit

2.0k total citations
22 papers, 735 citations indexed

About

Daniel Tamarit is a scholar working on Molecular Biology, Ecology and Insect Science. According to data from OpenAlex, Daniel Tamarit has authored 22 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Ecology and 6 papers in Insect Science. Recurrent topics in Daniel Tamarit's work include Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (4 papers) and Bacteriophages and microbial interactions (4 papers). Daniel Tamarit is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (4 papers) and Bacteriophages and microbial interactions (4 papers). Daniel Tamarit collaborates with scholars based in Netherlands, Sweden and United States. Daniel Tamarit's co-authors include Siv G. E. Andersson, Tobias C. Olofsson, Alejandra Vásquez, Kirsten Ellegaard, Thijs J. G. Ettema, Amparo Latorre, G. P. Bernet, José Aguilar-Rodríguez, Andrés Moyá and Carlos Lloréns and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniel Tamarit

20 papers receiving 730 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Tamarit Netherlands 13 351 247 189 156 156 22 735
Tatiana Teixeira Torres Brazil 18 471 1.3× 171 0.7× 322 1.7× 137 0.9× 224 1.4× 40 1.1k
Qing Zhao China 16 257 0.7× 146 0.6× 203 1.1× 253 1.6× 99 0.6× 74 839
Thomas Pfisterer Germany 1 496 1.4× 224 0.9× 65 0.3× 101 0.6× 164 1.1× 2 827
Sandra Smit Netherlands 20 557 1.6× 292 1.2× 133 0.7× 86 0.6× 226 1.4× 38 973
Zhaoyuan Wei China 4 460 1.3× 251 1.0× 95 0.5× 49 0.3× 74 0.5× 8 745
Bart van de Vossenberg Netherlands 17 235 0.7× 458 1.9× 177 0.9× 122 0.8× 84 0.5× 43 782
Praveen Mamidala United States 16 557 1.6× 281 1.1× 393 2.1× 104 0.7× 127 0.8× 33 958
Asela Wijeratne United States 17 560 1.6× 600 2.4× 226 1.2× 95 0.6× 150 1.0× 41 1.0k
Yanjie Liu China 12 197 0.6× 107 0.4× 107 0.6× 125 0.8× 90 0.6× 36 555
Wen‐Sui Lo Taiwan 19 305 0.9× 480 1.9× 383 2.0× 70 0.4× 129 0.8× 37 886

Countries citing papers authored by Daniel Tamarit

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tamarit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Tamarit

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tamarit. A scholar is included among the top collaborators of Daniel Tamarit 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 Daniel Tamarit. Daniel Tamarit 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
1.
Köstlbacher, Stephan, et al.. (2026). Prediction of eukaryotic cellular complexity in Asgard archaea using structural modelling. Nature Microbiology. 11(3). 747–758. 2 indexed citations
2.
Melkonian, Chrats, et al.. (2025). Prospective bioconversion of CO2 and CO into fine chemicals via halophilic purple phototrophic bacteria. Reviews in Environmental Science and Bio/Technology. 24(1). 29–41.
3.
Kim, Kijun, Stephan Köstlbacher, Daniel Tamarit, et al.. (2024). RNA-guided RNA silencing by an Asgard archaeal Argonaute. Nature Communications. 15(1). 5499–5499. 14 indexed citations
4.
Eme, Laura & Daniel Tamarit. (2024). Microbial Diversity and Open Questions about the Deep Tree of Life. Genome Biology and Evolution. 16(4). 3 indexed citations
5.
Vosseberg, Julian, et al.. (2024). The emerging view on the origin and early evolution of eukaryotic cells. Nature. 633(8029). 295–305. 30 indexed citations
6.
Tamarit, Daniel, et al.. (2024). Guyparkeria halophila: Novel cell platform for the efficient valorization of carbon dioxide and thiosulfate into ectoine. Bioresource Technology. 408. 131152–131152. 1 indexed citations
7.
Tamarit, Daniel. (2023). Lifestyle transitions in endosymbiosis.
8.
Tamarit, Daniel, Kristina Näslund, Tobias C. Olofsson, et al.. (2022). Genome Evolution of a Symbiont Population for Pathogen Defense in Honeybees. Genome Biology and Evolution. 14(11). 7 indexed citations
9.
Tamarit, Daniel, Eva Caceres, Mart Krupovìč, et al.. (2022). A closed Candidatus Odinarchaeum chromosome exposes Asgard archaeal viruses. Nature Microbiology. 7(7). 948–952. 30 indexed citations
10.
Cantera, Sara, Daniel Tamarit, Peter Strong, et al.. (2022). Prospective CO2 and CO bioconversion into ectoines using novel microbial platforms. Reviews in Environmental Science and Bio/Technology. 21(3). 571–581. 9 indexed citations
11.
Hatano, Tomoyuki, Saravanan Palani, Ralf Salzer, et al.. (2022). Asgard archaea shed light on the evolutionary origins of the eukaryotic ubiquitin-ESCRT machinery. Nature Communications. 13(1). 3398–3398. 39 indexed citations
12.
Stairs, Courtney W., Jennah E. Dharamshi, Daniel Tamarit, et al.. (2020). Chlamydial contribution to anaerobic metabolism during eukaryotic evolution. Science Advances. 6(35). eabb7258–eabb7258. 21 indexed citations
13.
Dharamshi, Jennah E., Daniel Tamarit, Laura Eme, et al.. (2020). Marine Sediments Illuminate Chlamydiae Diversity and Evolution. Current Biology. 30(6). 1032–1048.e7. 45 indexed citations
14.
Ling, Jiaxin, Teemu Smura, Daniel Tamarit, et al.. (2017). Evolution and postglacial colonization of Seewis hantavirus with Sorex araneus in Finland. Infection Genetics and Evolution. 57. 88–97. 13 indexed citations
15.
Ponce-de-León, Miguel, Daniel Tamarit, Matteo Mori, et al.. (2017). Determinism and Contingency Shape Metabolic Complementation in an Endosymbiotic Consortium. Frontiers in Microbiology. 8. 2290–2290. 6 indexed citations
16.
Tamarit, Daniel, Kristina Näslund, Jüergen Liebig, et al.. (2016). The genome of Rhizobiales bacteria in predatory ants reveals urease gene functions but no genes for nitrogen fixation. Scientific Reports. 6(1). 39197–39197. 45 indexed citations
17.
Sun, Yu, Daniel Tamarit, & Siv G. E. Andersson. (2016). Switches in Genomic GC Content Drive Shifts of Optimal Codons under Sustained Selection on Synonymous Sites. Genome Biology and Evolution. 9(10). evw201–evw201. 9 indexed citations
18.
Tamarit, Daniel, et al.. (2015). Functionally Structured Genomes in Lactobacillus kunkeei Colonizing the Honey Crop and Food Products of Honeybees and Stingless Bees. Genome Biology and Evolution. 7(6). 1455–1473. 50 indexed citations
19.
Ellegaard, Kirsten, et al.. (2015). Extensive intra-phylotype diversity in lactobacilli and bifidobacteria from the honeybee gut. BMC Genomics. 16(1). 284–284. 110 indexed citations
20.
Lloréns, Carlos, Ricardo Futami, L. Covelli, et al.. (2010). The Gypsy Database (GyDB) of mobile genetic elements: release 2.0. Nucleic Acids Research. 39(Database). D70–D74. 267 indexed citations

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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