Alessandra Ferrari

175 total papers · 3.5k total citations
73 papers, 1.6k citations indexed

About

Alessandra Ferrari is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alessandra Ferrari has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 18 papers in Physiology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alessandra Ferrari's work include Adipose Tissue and Metabolism (8 papers), Epilepsy research and treatment (6 papers) and Cholesterol and Lipid Metabolism (5 papers). Alessandra Ferrari is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Epilepsy research and treatment (6 papers) and Cholesterol and Lipid Metabolism (5 papers). Alessandra Ferrari collaborates with scholars based in Italy, United States and Switzerland. Alessandra Ferrari's co-authors include Jürgen Götz, Maurizio Crestani, Roger M. Nitsch, Emma De Fabiani, Donatella Caruso, Nico Mitro, Thomas Baechi, Frédéric J. Hoerndli, Gaia Cermenati and Alexandre Gabriel and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Alessandra Ferrari

68 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Alessandra Ferrari 664 563 208 201 179 73 1.6k
Xuemei Zhang 722 1.1× 414 0.7× 209 1.0× 183 0.9× 173 1.0× 75 1.8k
Feng He 564 0.8× 723 1.3× 200 1.0× 148 0.7× 143 0.8× 55 2.0k
Ken Chen 718 1.1× 367 0.7× 125 0.6× 158 0.8× 155 0.9× 63 1.5k
Teresa Carbonell 651 1.0× 398 0.7× 363 1.7× 257 1.3× 152 0.8× 82 2.1k
Hiroyuki Okumura 499 0.8× 825 1.5× 224 1.1× 291 1.4× 192 1.1× 62 2.3k
Mayumi Suzuki 535 0.8× 603 1.1× 184 0.9× 224 1.1× 362 2.0× 83 2.1k
Qin Zheng 626 0.9× 475 0.8× 126 0.6× 151 0.8× 202 1.1× 104 1.9k
Romesh Khardori 442 0.7× 397 0.7× 165 0.8× 232 1.2× 125 0.7× 53 1.7k
Dong‐Il Kim 852 1.3× 387 0.7× 252 1.2× 475 2.4× 101 0.6× 97 2.1k
Kiyoshi Kikuchi 591 0.9× 229 0.4× 256 1.2× 276 1.4× 206 1.2× 117 2.2k

Countries citing papers authored by Alessandra Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandra Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Ferrari. A scholar is included among the top collaborators of Alessandra Ferrari 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 Alessandra Ferrari. Alessandra Ferrari 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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2026