Daniele Martarelli

20 total papers · 741 total citations
17 papers, 587 citations indexed

About

Daniele Martarelli is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniele Martarelli has authored 17 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniele Martarelli's work include Muscle metabolism and nutrition (3 papers), Exercise and Physiological Responses (3 papers) and Receptor Mechanisms and Signaling (3 papers). Daniele Martarelli is often cited by papers focused on Muscle metabolism and nutrition (3 papers), Exercise and Physiological Responses (3 papers) and Receptor Mechanisms and Signaling (3 papers). Daniele Martarelli collaborates with scholars based in Italy and United States. Daniele Martarelli's co-authors include Pierluigi Pompei, Mario Cocchioni, Stefania Scuri, Stefania Silvi, Cinzia Cecchini, Maria Cristina Verdenelli, Caterina Baldi, Marina Perfumi, Giorgio Santoni and Massimo Nabissi and has published in prestigious journals such as Journal of Medicinal Chemistry, European Journal of Pharmacology and Cancer Letters.

In The Last Decade

Daniele Martarelli

17 papers receiving 554 citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Martarelli 199 117 67 64 61 17 587
Andreina Alfieri 161 0.8× 117 1.0× 75 1.1× 45 0.7× 22 0.4× 27 496
Amy Bowman 172 0.9× 73 0.6× 89 1.3× 27 0.4× 36 0.6× 21 681
Katie C Carpenter 128 0.6× 197 1.7× 27 0.4× 68 1.1× 43 0.7× 29 630
Olga Lourenço 104 0.5× 248 2.1× 43 0.6× 141 2.2× 23 0.4× 31 628
Christopher Weyh 99 0.5× 168 1.4× 21 0.3× 77 1.2× 34 0.6× 24 580
Shawn Talbott 169 0.8× 159 1.4× 45 0.7× 43 0.7× 46 0.8× 34 593
Greg C. Smith 208 1.0× 225 1.9× 100 1.5× 60 0.9× 21 0.3× 25 592
Ewa Duchnik 106 0.5× 68 0.6× 44 0.7× 78 1.2× 45 0.7× 24 639
Michiel A. van Nieuwenhoven 59 0.3× 219 1.9× 180 2.7× 100 1.6× 24 0.4× 21 520
Renata Roland Teixeira 134 0.7× 118 1.0× 38 0.6× 73 1.1× 42 0.7× 36 608

Countries citing papers authored by Daniele Martarelli

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Martarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Martarelli

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