Carles Barceló

43 total papers · 1.6k total citations
17 papers, 1.2k citations indexed

About

Carles Barceló is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Carles Barceló has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Carles Barceló's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Long-Term Effects of COVID-19 (2 papers). Carles Barceló is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Long-Term Effects of COVID-19 (2 papers). Carles Barceló collaborates with scholars based in Spain, Greece and United States. Carles Barceló's co-authors include Xavier Hernando‐Momblona, Elena Sancho, Mar Iglesias, Enza Lonardo, Marta Sevillano, Daniel Byrom, Camille Stephan‐Otto Attolini, Elisa Espinet, Eduard Batlle and David Rossell and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Carles Barceló

15 papers receiving 1.1k citations

Hit Papers

Stromal gene expression d... 2015 2026 2018 2022 2015 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Carles Barceló 637 613 299 183 143 17 1.2k
Victoria da Silva-Diz 689 1.1× 611 1.0× 345 1.2× 115 0.6× 102 0.7× 16 1.1k
Nikita Makretsov 679 1.1× 590 1.0× 378 1.3× 195 1.1× 163 1.1× 19 1.4k
Li Jiang 898 1.4× 585 1.0× 427 1.4× 113 0.6× 159 1.1× 28 1.3k
Fabiana Conciatori 734 1.2× 456 0.7× 307 1.0× 117 0.6× 180 1.3× 23 1.2k
Ashish Juvekar 803 1.3× 469 0.8× 317 1.1× 78 0.4× 184 1.3× 22 1.3k
Jessica Kim 911 1.4× 364 0.6× 201 0.7× 144 0.8× 180 1.3× 15 1.3k
Steven A. Enkemann 783 1.2× 414 0.7× 246 0.8× 110 0.6× 185 1.3× 31 1.3k
Ricardo Costa 502 0.8× 402 0.7× 297 1.0× 98 0.5× 111 0.8× 17 1.1k
Laith Dabbagh 550 0.9× 545 0.9× 160 0.5× 149 0.8× 212 1.5× 23 1.3k
Kabir A. Khan 544 0.9× 484 0.8× 214 0.7× 116 0.6× 320 2.2× 21 1.2k

Countries citing papers authored by Carles Barceló

Since Specialization
Citations

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

Fields of papers citing papers by Carles Barceló

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carles Barceló

This figure shows the co-authorship network connecting the top 25 collaborators of Carles Barceló. A scholar is included among the top collaborators of Carles Barceló 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 Carles Barceló. Carles Barceló 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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2026