Eva Bianconi

17 papers and 711 indexed citations i.

About

Eva Bianconi is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Eva Bianconi has authored 17 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Physiology and 4 papers in Genetics. Recurrent topics in Eva Bianconi’s work include Pluripotent Stem Cells Research (6 papers), Mesenchymal stem cell research (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). Eva Bianconi is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Mesenchymal stem cell research (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). Eva Bianconi collaborates with scholars based in Italy, United States and Russia. Eva Bianconi's co-authors include Silvia Canaider, Federica Facchin, Raffaella Casadei, Flavia Frabetti, Maria Chiara Pelleri, Lorenza Vitale, Pierluigi Strippoli, Allison Piovesan, Francesco Piva and Alina Beraudi and has published in prestigious journals such as Cell, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Eva Bianconi i

Fields of papers citing papers by Eva Bianconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Bianconi

Since Specialization
Citations

This map shows the geographic impact of Eva Bianconi'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 Eva Bianconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Bianconi 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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2025