Samuele Ambrosini

58 total papers · 621 total citations
24 papers, 413 citations indexed

About

Samuele Ambrosini is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Samuele Ambrosini has authored 24 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 6 papers in Physiology. Recurrent topics in Samuele Ambrosini's work include Epigenetics and DNA Methylation (10 papers), Cardiovascular Function and Risk Factors (5 papers) and Heart Failure Treatment and Management (4 papers). Samuele Ambrosini is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Cardiovascular Function and Risk Factors (5 papers) and Heart Failure Treatment and Management (4 papers). Samuele Ambrosini collaborates with scholars based in Switzerland, Italy and United Kingdom. Samuele Ambrosini's co-authors include Francesco Paneni, Sarah Costantino, S A Mohammed, Thomas F. Lüscher, Simon Kraler, Florian A. Wenzl, Era Gorica, Giovanni G. Camici, Christian M. Matter and Vincenzo Calderone and has published in prestigious journals such as SHILAP Revista de lepidopterología, Circulation Research and Diabetes.

In The Last Decade

Samuele Ambrosini

23 papers receiving 407 citations

Author Peers

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

Author Last Decade Papers Cites
Samuele Ambrosini 227 128 71 56 46 24 413
Kamil Przyborowski 159 0.7× 102 0.8× 73 1.0× 30 0.5× 53 1.2× 30 437
Peng Guo 201 0.9× 106 0.8× 62 0.9× 102 1.8× 42 0.9× 20 453
Shoujin Hao 198 0.9× 72 0.6× 59 0.8× 72 1.3× 36 0.8× 29 438
Shujie Guo 172 0.8× 136 1.1× 54 0.8× 53 0.9× 37 0.8× 22 415
Yongyi Bai 130 0.6× 166 1.3× 76 1.1× 74 1.3× 53 1.2× 24 473
Joe Carroll 233 1.0× 75 0.6× 41 0.6× 108 1.9× 71 1.5× 23 455
Biao Xu 201 0.9× 105 0.8× 74 1.0× 49 0.9× 39 0.8× 17 440
Rong‐Rui Zhao 177 0.8× 183 1.4× 56 0.8× 23 0.4× 31 0.7× 30 439
Stefan‐Martin Brand‐Herrmann 189 0.8× 193 1.5× 50 0.7× 127 2.3× 36 0.8× 22 469
Juan Carlos Monge 153 0.7× 160 1.3× 146 2.1× 56 1.0× 28 0.6× 18 431

Countries citing papers authored by Samuele Ambrosini

Since Specialization
Citations

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

Fields of papers citing papers by Samuele Ambrosini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuele Ambrosini

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