Gianmaria Liccardi

69 total papers · 2.3k total citations
21 papers, 1.1k citations indexed

About

Gianmaria Liccardi is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Gianmaria Liccardi has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Oncology. Recurrent topics in Gianmaria Liccardi's work include Cell death mechanisms and regulation (9 papers), interferon and immune responses (5 papers) and Inflammasome and immune disorders (3 papers). Gianmaria Liccardi is often cited by papers focused on Cell death mechanisms and regulation (9 papers), interferon and immune responses (5 papers) and Inflammasome and immune disorders (3 papers). Gianmaria Liccardi collaborates with scholars based in United Kingdom, Germany and United States. Gianmaria Liccardi's co-authors include Daniel Hochhauser, John A. Hartley, Pascal Meier, Sidonie Wicky John, Alessandro Annibaldi, Tencho Tenev, Isabel Jaco, John Silke, Rebecca Feltham and Manolis Pasparakis and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Gianmaria Liccardi

21 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Gianmaria Liccardi 837 322 284 192 168 21 1.1k
Jonathan A. Ewald 711 0.8× 169 0.5× 312 1.1× 169 0.9× 173 1.0× 24 1.2k
Brian Bolognese 523 0.6× 379 1.2× 266 0.9× 214 1.1× 128 0.8× 34 1.2k
Mariafausta Fischietti 475 0.6× 373 1.2× 317 1.1× 277 1.4× 106 0.6× 28 1.0k
Sha Tian 678 0.8× 425 1.3× 347 1.2× 239 1.2× 125 0.7× 31 1.4k
Sai-Wen Tang 696 0.8× 229 0.7× 592 2.1× 145 0.8× 106 0.6× 26 1.1k
Yao Zhang 492 0.6× 276 0.9× 432 1.5× 172 0.9× 76 0.5× 26 977
Joshua A. Desotelle 645 0.8× 193 0.6× 260 0.9× 170 0.9× 111 0.7× 16 1.1k
Claire Fabre 751 0.9× 232 0.7× 444 1.6× 223 1.2× 105 0.6× 43 1.3k
Suraj Menon 964 1.2× 189 0.6× 335 1.2× 277 1.4× 201 1.2× 30 1.5k
Hui Qu 905 1.1× 298 0.9× 410 1.4× 160 0.8× 121 0.7× 36 1.3k

Countries citing papers authored by Gianmaria Liccardi

Since Specialization
Citations

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

Fields of papers citing papers by Gianmaria Liccardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianmaria Liccardi

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