Lucia Bonati

17 total papers · 903 total citations
9 papers, 522 citations indexed

About

Lucia Bonati is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lucia Bonati has authored 9 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lucia Bonati's work include Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Lucia Bonati is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Lucia Bonati collaborates with scholars based in Switzerland, India and United States. Lucia Bonati's co-authors include Li Tang, Roy A. Ehling, Sai T. Reddy, Bruno E. Correia, Pablo Gaínza, Simon M. Meng, Simon Friedensohn, Christian Jordi, Bastian Wagner and Derek M. Mason and has published in prestigious journals such as Nature Nanotechnology, Frontiers in Immunology and Journal of Pharmaceutical Sciences.

In The Last Decade

Lucia Bonati

9 papers receiving 507 citations

Hit Papers

Evidence and therapeutic ... 2024 2026 2024 10 20 30 40

Author Peers

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

Author Last Decade Papers Cites
Lucia Bonati 290 146 130 128 100 9 522
Zehra Elgundi 324 1.1× 164 1.1× 78 0.6× 90 0.7× 52 0.5× 11 539
Hidehiko Iwabuki 379 1.3× 82 0.6× 80 0.6× 90 0.7× 62 0.6× 11 613
Heungnam Kim 274 0.9× 101 0.7× 127 1.0× 150 1.2× 47 0.5× 11 569
Hani Bou-Reslan 295 1.0× 88 0.6× 207 1.6× 136 1.1× 42 0.4× 7 614
Radosław Szmyd 264 0.9× 80 0.5× 75 0.6× 133 1.0× 63 0.6× 8 503
Stefania Forti 231 0.8× 56 0.4× 85 0.7× 140 1.1× 73 0.7× 10 523
Uli Binder 343 1.2× 189 1.3× 123 0.9× 92 0.7× 34 0.3× 12 549
Ataya Sathirachinda 239 0.8× 146 1.0× 92 0.7× 110 0.9× 67 0.7× 12 452
Joost A.P. Rens 266 0.9× 54 0.4× 93 0.7× 148 1.2× 195 1.9× 15 593
Fang-An Chen 180 0.6× 86 0.6× 198 1.5× 157 1.2× 45 0.5× 15 462

Countries citing papers authored by Lucia Bonati

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Bonati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Bonati

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