Irantzu Tato

9 total papers · 612 total citations
8 papers, 511 citations indexed

About

Irantzu Tato is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Irantzu Tato has authored 8 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Spectroscopy and 1 paper in Epidemiology. Recurrent topics in Irantzu Tato's work include Mass Spectrometry Techniques and Applications (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Mitochondrial Function and Pathology (3 papers). Irantzu Tato is often cited by papers focused on Mass Spectrometry Techniques and Applications (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Mitochondrial Function and Pathology (3 papers). Irantzu Tato collaborates with scholars based in Spain and United States. Irantzu Tato's co-authors include Ramón Bartrons, Francesc Ventura, José Luís Rosa, Sandra Zunzunegui, Fernando de la Cruz, Elena Cabezón, Monica Cubillos‐Rojas, Ignacio Aréchaga, Laura Novellasdemunt and Marisol Ruiz‐Meana and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

In The Last Decade

Irantzu Tato

8 papers receiving 500 citations

Author Peers

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

Author						Papers	Cites
Irantzu Tato	338	125	58	58	54	8	511
Daniel E. Todd	381 1.1×	103 0.8×	27 0.5×	32 0.6×	27 0.5×	10	513
Narae Bae	377 1.1×	166 1.3×	19 0.3×	50 0.9×	58 1.1×	9	553
U. Rahmsdorf	438 1.3×	246 2.0×	54 0.9×	86 1.5×	29 0.5×	10	607
Adam Błaszczak	395 1.2×	143 1.1×	52 0.9×	40 0.7×	12 0.2×	11	539
Senthil S. Saravanamuthu	318 0.9×	74 0.6×	40 0.7×	78 1.3×	33 0.6×	10	528
Matthew J. Harley	244 0.7×	203 1.6×	35 0.6×	30 0.5×	67 1.2×	7	529
Larissa Gomelsky	494 1.5×	72 0.6×	53 0.9×	61 1.1×	15 0.3×	8	610
Rebecca J. Mason	256 0.8×	167 1.3×	23 0.4×	43 0.7×	23 0.4×	8	505
Alex Rouvinski	432 1.3×	179 1.4×	20 0.3×	31 0.5×	27 0.5×	7	558
M D Sjaastad	262 0.8×	86 0.7×	32 0.6×	51 0.9×	15 0.3×	8	579

Countries citing papers authored by Irantzu Tato

Since Specialization

Citations

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

Fields of papers citing papers by Irantzu Tato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irantzu Tato

This figure shows the co-authorship network connecting the top 25 collaborators of Irantzu Tato. A scholar is included among the top collaborators of Irantzu Tato 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 Irantzu Tato. Irantzu Tato 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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