Tomás Cuñat

40 total papers · 876 total citations
14 papers, 77 citations indexed

About

Tomás Cuñat is a scholar working on Surgery, Critical Care and Intensive Care Medicine and Neurology. According to data from OpenAlex, Tomás Cuñat has authored 14 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Critical Care and Intensive Care Medicine and 5 papers in Neurology. Recurrent topics in Tomás Cuñat's work include Anesthesia and Pain Management (5 papers), Long-Term Effects of COVID-19 (5 papers) and Intensive Care Unit Cognitive Disorders (5 papers). Tomás Cuñat is often cited by papers focused on Anesthesia and Pain Management (5 papers), Long-Term Effects of COVID-19 (5 papers) and Intensive Care Unit Cognitive Disorders (5 papers). Tomás Cuñat collaborates with scholars based in Spain, United States and Portugal. Tomás Cuñat's co-authors include Andrea Calvo, Ricard Mellado Artigas, Carlos Ferrando, Antonio Ojeda, Jorge Aliaga, Marilyn Arias, Xavier Sala‐Blanch, Graciela Martínez‐Palli, Nuria Hinarejos Martín and J.C. Martínez-Pastor and has published in prestigious journals such as Resuscitation, Anaesthesia and European Journal of Pain.

In The Last Decade

Tomás Cuñat

12 papers receiving 73 citations

Author Peers

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

Author						Papers	Cites
Tomás Cuñat	42	25	22	17	15	14	77
Marc McDowell	18 0.4×	12 0.5×	16 0.7×	13 0.8×	10 0.7×	17	110
Sourabh Lahoti	46 1.1×	60 2.4×	21 1.0×	6 0.4×	22 1.5×	20	216
Heather Snyder	17 0.4×	24 1.0×	8 0.4×	28 1.6×	9 0.6×	15	215
Mads Christian Tofte Gregers	30 0.7×	36 1.4×	24 1.1×	5 0.3×	9 0.6×	18	223
Laura Campiglio	61 1.5×	23 0.9×	7 0.3×	17 1.0×	15 1.0×	16	103
Mohammad Pourfridoni	18 0.4×	12 0.5×	4 0.2×	10 0.6×	12 0.8×	13	103
Camilla Brorsson	19 0.5×	19 0.8×	36 1.6×	12 0.7×	5 0.3×	12	101
Khalid Alayed	74 1.8×	5 0.2×	21 1.0×	21 1.2×	5 0.3×	11	111
Harsh Sapra	46 1.1×	15 0.6×	6 0.3×	5 0.3×	3 0.2×	15	72
Conor Bentley	30 0.7×	8 0.3×	10 0.5×	7 0.4×	64 4.3×	15	227

Countries citing papers authored by Tomás Cuñat

Since Specialization

Citations

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

Fields of papers citing papers by Tomás Cuñat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomás Cuñat

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