Diego Covarello

1.0k total citations
8 papers, 801 citations indexed

About

Diego Covarello is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Diego Covarello has authored 8 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Diego Covarello's work include Tissue Engineering and Regenerative Medicine (8 papers), Mesenchymal stem cell research (4 papers) and Muscle Physiology and Disorders (4 papers). Diego Covarello is often cited by papers focused on Tissue Engineering and Regenerative Medicine (8 papers), Mesenchymal stem cell research (4 papers) and Muscle Physiology and Disorders (4 papers). Diego Covarello collaborates with scholars based in Italy, Spain and France. Diego Covarello's co-authors include Giulio Cossu, Silvia Brunelli, Beatriz G. Gálvez, A Innocenzi, Arianna Dellavalle, S. Antonini, Giovanni Maroli, Emanuele Azzoni, Laura Perani and Ramkumar Sambasivan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Diego Covarello

8 papers receiving 792 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Diego Covarello Italy	7	613	347	309	123	65	8	801
David Caton Switzerland	10	377 0.6×	394 1.1×	431 1.4×	175 1.4×	83 1.3×	11	897
Justin G. Boyer Canada	18	806 1.3×	285 0.8×	313 1.0×	82 0.7×	43 0.7×	19	1.2k
Agate Noer Norway	15	713 1.2×	197 0.6×	337 1.1×	158 1.3×	39 0.6×	27	1.0k
Isabelle Asselin Canada	18	837 1.4×	321 0.9×	388 1.3×	76 0.6×	42 0.6×	29	941
Munira Xaymardan Australia	14	687 1.1×	475 1.4×	205 0.7×	69 0.6×	127 2.0×	26	1.2k
Mayank Verma United States	15	830 1.4×	237 0.7×	177 0.6×	185 1.5×	36 0.6×	30	953
Matthias Megges Germany	9	402 0.7×	175 0.5×	277 0.9×	102 0.8×	51 0.8×	12	686
Serena Urbani Italy	13	273 0.4×	306 0.9×	424 1.4×	58 0.5×	74 1.1×	22	908
Joseph M. Feduska United States	10	373 0.6×	223 0.6×	189 0.6×	116 0.9×	41 0.6×	14	625
П. И. Макаревич Russia	19	356 0.6×	309 0.9×	299 1.0×	46 0.4×	147 2.3×	61	795

Countries citing papers authored by Diego Covarello

Since Specialization

Citations

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

Fields of papers citing papers by Diego Covarello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Covarello

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Covarello. A scholar is included among the top collaborators of Diego Covarello 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 Diego Covarello. Diego Covarello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Dellavalle, Arianna, Giovanni Maroli, Diego Covarello, et al.. (2011). Pericytes resident in postnatal skeletal muscle differentiate into muscle fibres and generate satellite cells. Nature Communications. 2(1). 499–499. 349 indexed citations

Bernal, Aurora, Nuria San Martín, María Eugenia Fernández‐Santos, et al.. (2011). L-selectin and SDF-1 enhance the migration of mouse and human cardiac mesoangioblasts. Cell Death and Differentiation. 19(2). 345–355. 21 indexed citations

Martín, Nuria San, Ana M. Cervera, Cláudia Córdova, et al.. (2011). Mitochondria Determine the Differentiation Potential of Cardiac Mesoangioblasts. Stem Cells. 29(7). 1064–1074. 35 indexed citations

Gálvez, Beatriz G., Diego Covarello, Silvia Brunelli, et al.. (2009). Human cardiac mesoangioblasts isolated from hypertrophic cardiomyopathies are greatly reduced in proliferation and differentiation potency. Cardiovascular Research. 83(4). 707–716. 37 indexed citations

Gálvez, Beatriz G., Maurilio Sampaolesi, Andrea Barbuti, et al.. (2008). Cardiac mesoangioblasts are committed, self-renewable progenitors, associated with small vessels of juvenile mouse ventricle. Cell Death and Differentiation. 15(9). 1417–1428. 79 indexed citations

Gálvez, Beatriz G., Maurilio Sampaolesi, Silvia Brunelli, et al.. (2006). Complete repair of dystrophic skeletal muscle by mesoangioblasts with enhanced migration ability. The Journal of Cell Biology. 174(2). 231–243. 145 indexed citations

Gálvez, Beatriz G., Maurilio Sampaolesi, Silvia Brunelli, et al.. (2006). Complete repair of dystrophic skeletal muscle by mesoangioblasts with enhanced migration ability. The Journal of Experimental Medicine. 203(8). i21–i21. 2 indexed citations

Brunelli, Silvia, Clara Sciorati, Giuseppe D’Antona, et al.. (2006). Nitric oxide release combined with nonsteroidal antiinflammatory activity prevents muscular dystrophy pathology and enhances stem cell therapy. Proceedings of the National Academy of Sciences. 104(1). 264–269. 133 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.

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