Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Target mimicry provides a new mechanism for regulation of microRNA activity
20071.6k citationsJosé M. Franco‐Zorrilla, Adrián Vallí et al.Nature Geneticsprofile →
SPX1 is a phosphate-dependent inhibitor of PHOSPHATE STARVATION RESPONSE 1 in Arabidopsis
2014374 citationsMaría Isabel Puga, Isabel Mateos et al.Proceedings of the National Academy of Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Isabel Mateos'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 Isabel Mateos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Mateos more than expected).
This network shows the impact of papers produced by Isabel Mateos. 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 Isabel Mateos. The network helps show where Isabel Mateos may publish in the future.
Co-authorship network of co-authors of Isabel Mateos
This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Mateos.
A scholar is included among the top collaborators of Isabel Mateos 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 Isabel Mateos. Isabel Mateos is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Puga, María Isabel, Isabel Mateos, Charukesi Rajulu, et al.. (2014). SPX1 is a phosphate-dependent inhibitor of PHOSPHATE STARVATION RESPONSE 1 in Arabidopsis. Proceedings of the National Academy of Sciences. 111(41). 14947–14952.374 indexed citations breakdown →
Mateos, Isabel, et al.. (2009). Evidencia de la reproducción otoñal del sapillo pintojo ibérico (Discoglossus galganoi) en España central (Salamanca). Boletín de la Asociación Herpetológica Española. 20(20). 72–74.
7.
Mateos, Isabel, et al.. (2009). Tendencias a medio plazo de una población de lagartija cenicienta (Psammodromus hispanicus) en España central. Boletín de la Asociación Herpetológica Española. 20(20). 47–52.
García‐Díaz, Pablo & Isabel Mateos. (2009). Evaluation of three indirect methods for surveying the distribution of the Least Weasel Mustela nivalis in a Mediterranean area. Aberdeen University Research Archive (Aberdeen University). 40. 22–26.14 indexed citations
11.
García‐Díaz, Pablo, et al.. (2009). USING SIGHTINGS FOR ESTIMATING POPULATION DENSITY OF EURASIAN OTTER (Lutra lutra): A PRELIMINARY APPROACH WITH ROWCLIFFE et al's MODEL.4 indexed citations
Mateos, Isabel, et al.. (2007). Comportamiento cavernícola del desmán ibérico Galemys pyrenaicus (E. Geoffroy Saint-Hilaire, 1811) en la montaña palestina. 19(1). 41–45.1 indexed citations
14.
Franco‐Zorrilla, José M., Adrián Vallí, Marco Todesco, et al.. (2007). Target mimicry provides a new mechanism for regulation of microRNA activity. Nature Genetics. 39(8). 1033–1037.1563 indexed citations breakdown →
Montejo, Miguel, et al.. (1993). [Pyomyositis in AIDS].. PubMed. 8(7). 441–2.1 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.