Joan Cabellos

24 total papers · 482 total citations
14 papers, 244 citations indexed

About

Joan Cabellos is a scholar working on Materials Chemistry, Biomedical Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Joan Cabellos has authored 14 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 4 papers in Biomedical Engineering and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Joan Cabellos's work include Nanoparticles: synthesis and applications (9 papers), Graphene and Nanomaterials Applications (3 papers) and Advanced Nanomaterials in Catalysis (2 papers). Joan Cabellos is often cited by papers focused on Nanoparticles: synthesis and applications (9 papers), Graphene and Nanomaterials Applications (3 papers) and Advanced Nanomaterials in Catalysis (2 papers). Joan Cabellos collaborates with scholars based in Spain, Finland and Italy. Joan Cabellos's co-authors include Gemma Janer, Socorro Vázquez‐Campos, Julia Catalán, Camilla Delpivo, Natália Ferraz, Margriet V.D.Z. Park, Elisabet Fernández-Rosas, Lara Lamon, Alejandro Vílchez and David Asturiol and has published in prestigious journals such as Environment International, British Journal of Pharmacology and Cells.

In The Last Decade

Joan Cabellos

14 papers receiving 239 citations

Author Peers

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

Author						Papers	Cites
Joan Cabellos	127	59	50	35	23	14	244
Erik Rushton	185 1.5×	109 1.8×	70 1.4×	37 1.1×	23 1.0×	13	323
Athanasios Arvanitis	88 0.7×	74 1.3×	34 0.7×	17 0.5×	14 0.6×	14	260
Emilio Di Ianni	139 1.1×	69 1.2×	76 1.5×	48 1.4×	46 2.0×	13	288
Kai Werle	197 1.6×	91 1.5×	58 1.2×	31 0.9×	5 0.2×	16	327
Philipp Reichardt	109 0.9×	47 0.8×	83 1.7×	76 2.2×	56 2.4×	12	322
Xianyao Zheng	89 0.7×	38 0.6×	50 1.0×	40 1.1×	79 3.4×	17	328
Rina Guadagnini	219 1.7×	61 1.0×	79 1.6×	67 1.9×	39 1.7×	8	306
Xinyi Miao	71 0.6×	45 0.8×	38 0.8×	53 1.5×	59 2.6×	15	330
Pratima Khandayataray	36 0.3×	56 0.9×	27 0.5×	28 0.8×	103 4.5×	17	314
Katarzyna Sikorska	139 1.1×	53 0.9×	69 1.4×	48 1.4×	47 2.0×	20	327

Countries citing papers authored by Joan Cabellos

Since Specialization

Citations

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

Fields of papers citing papers by Joan Cabellos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Cabellos

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