Daniele De Martino

36 papers and 503 indexed citations i.

About

Daniele De Martino is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Condensed Matter Physics. According to data from OpenAlex, Daniele De Martino has authored 36 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Statistical and Nonlinear Physics and 6 papers in Condensed Matter Physics. Recurrent topics in Daniele De Martino’s work include Metabolic Engineering and Synthetic Biology (19 papers), Gene Regulatory Network Analysis (19 papers) and Complex Network Analysis Techniques (6 papers). Daniele De Martino is often cited by papers focused on Metabolic Engineering and Synthetic Biology (19 papers), Gene Regulatory Network Analysis (19 papers) and Complex Network Analysis Techniques (6 papers). Daniele De Martino collaborates with scholars based in Italy, Austria and Spain. Daniele De Martino's co-authors include Andrea De Martino, Matteo Marsili, Luca Dall’Asta, Ginestra Bianconi, Fabrizio Capuani, Matteo Mori, V. Parisi, Enzo Marinari, Gašper Tkačik and Mauro Sellitto and has published in prestigious journals such as Physical Review Letters, Nature Communications and ACS Nano.

In The Last Decade

Co-authorship network of co-authors of Daniele De Martino i

Fields of papers citing papers by Daniele De Martino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele De Martino

Since Specialization
Citations

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

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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