Tamara D. Payero

16 total papers · 655 total citations
13 papers, 396 citations indexed

About

Tamara D. Payero is a scholar working on Pharmacology, Plant Science and Molecular Biology. According to data from OpenAlex, Tamara D. Payero has authored 13 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pharmacology, 8 papers in Plant Science and 7 papers in Molecular Biology. Recurrent topics in Tamara D. Payero's work include Microbial Natural Products and Biosynthesis (13 papers), Plant-Microbe Interactions and Immunity (8 papers) and Genomics and Phylogenetic Studies (2 papers). Tamara D. Payero is often cited by papers focused on Microbial Natural Products and Biosynthesis (13 papers), Plant-Microbe Interactions and Immunity (8 papers) and Genomics and Phylogenetic Studies (2 papers). Tamara D. Payero collaborates with scholars based in Spain, France and United Kingdom. Tamara D. Payero's co-authors include Jesús F. Aparicio, Cláudia M. Vicente, Javier Santos‐Aberturas, Eva G. Barreales, Susana Guerra, Juan F. Martı́n, Ángel Rumbero, Antonio Rodríguez‐García and Fernando Santos‐Beneit and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Tamara D. Payero

13 papers receiving 387 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tamara D. Payero	311	232	133	69	62	13	396
Roberto Fouces	291 0.9×	293 1.3×	79 0.6×	55 0.8×	78 1.3×	9	425
Fernando Teijeira	270 0.9×	263 1.1×	138 1.0×	99 1.4×	23 0.4×	11	409
F. M. Huber	215 0.7×	239 1.0×	51 0.4×	46 0.7×	55 0.9×	24	390
L. D. BOECK	203 0.7×	214 0.9×	47 0.4×	55 0.8×	90 1.5×	17	364
Claudio Scotti	144 0.5×	242 1.0×	90 0.7×	60 0.9×	44 0.7×	11	410
Cláudia Ross	151 0.5×	152 0.7×	143 1.1×	28 0.4×	49 0.8×	15	427
Yasutomo Shinohara	184 0.6×	221 1.0×	102 0.8×	60 0.9×	22 0.4×	17	361
J. F. Mart�n	176 0.6×	242 1.0×	100 0.8×	52 0.8×	25 0.4×	10	343
Monisha Khanna	180 0.6×	201 0.9×	72 0.5×	110 1.6×	31 0.5×	9	354
Lutz Petzke	295 0.9×	303 1.3×	72 0.5×	95 1.4×	44 0.7×	16	416

Countries citing papers authored by Tamara D. Payero

Since Specialization

Citations

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

Fields of papers citing papers by Tamara D. Payero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara D. Payero. 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 Tamara D. Payero. The network helps show where Tamara D. Payero may publish in the future.

Co-authorship network of co-authors of Tamara D. Payero

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara D. Payero. A scholar is included among the top collaborators of Tamara D. Payero 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 Tamara D. Payero. Tamara D. Payero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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