Christian Mazza

47 papers and 938 indexed citations i.

About

Christian Mazza is a scholar working on Molecular Biology, Mathematical Physics and Genetics. According to data from OpenAlex, Christian Mazza has authored 47 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Mathematical Physics and 8 papers in Genetics. Recurrent topics in Christian Mazza’s work include Gene Regulatory Network Analysis (8 papers), Evolution and Genetic Dynamics (6 papers) and Evolutionary Game Theory and Cooperation (6 papers). Christian Mazza is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), Evolution and Genetic Dynamics (6 papers) and Evolutionary Game Theory and Cooperation (6 papers). Christian Mazza collaborates with scholars based in Switzerland, France and United States. Christian Mazza's co-authors include Nicolas Mermod, Sébastien Perseguers, Rudolf P. Rohr, Louis‐Félix Bersier, Didier Rullière, Xavier Culebras, Nadia Elia, Martin R. Tramèr, Eduardo Schiffer and Patrik Kehrli and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Christian Mazza i

Fields of papers citing papers by Christian Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christian Mazza

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025