Marco De Zuani

29 total papers · 794 total citations
20 papers, 409 citations indexed

About

Marco De Zuani is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Marco De Zuani has authored 20 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 7 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Marco De Zuani's work include Sepsis Diagnosis and Treatment (4 papers), Signaling Pathways in Disease (3 papers) and COVID-19 Clinical Research Studies (3 papers). Marco De Zuani is often cited by papers focused on Sepsis Diagnosis and Treatment (4 papers), Signaling Pathways in Disease (3 papers) and COVID-19 Clinical Research Studies (3 papers). Marco De Zuani collaborates with scholars based in Czechia, Italy and Slovenia. Marco De Zuani's co-authors include Jan Frič, Barbara Frossi, Marcela Hortová Kohoutková, Vladimír Šrámek, Teresa Zelante, Carlo Pucillo, Giancarlo Forte, Alessandra Arzese, Ana Cvejic and Giuseppe Paolicelli and has published in prestigious journals such as Nature, Nature Communications and Frontiers in Immunology.

In The Last Decade

Marco De Zuani

19 papers receiving 404 citations

Hit Papers

Single-cell and spatial t... 2024 2026 2024 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Marco De Zuani 192 115 63 62 57 20 409
Chunju Fang 218 1.1× 225 2.0× 51 0.8× 36 0.6× 58 1.0× 13 406
Mary Bennett 98 0.5× 124 1.1× 92 1.5× 54 0.9× 29 0.5× 20 382
Cathelijn E.M. Aarts 274 1.4× 164 1.4× 47 0.7× 30 0.5× 35 0.6× 16 446
Tai‐Ju Hwang 126 0.7× 178 1.5× 60 1.0× 56 0.9× 92 1.6× 25 487
Ayumi Niwa 154 0.8× 140 1.2× 43 0.7× 31 0.5× 41 0.7× 31 415
Vanessa Gauttier 262 1.4× 118 1.0× 71 1.1× 21 0.3× 40 0.7× 20 478
Julia B. Kral‐Pointner 165 0.9× 103 0.9× 44 0.7× 28 0.5× 57 1.0× 18 409
Hongxiang Sun 160 0.8× 206 1.8× 48 0.8× 24 0.4× 52 0.9× 16 485
Arezou Khosrojerdi 124 0.6× 204 1.8× 50 0.8× 36 0.6× 37 0.6× 30 446
Sergio Roberto Aguilar-Ruíz 253 1.3× 134 1.2× 36 0.6× 56 0.9× 55 1.0× 33 478

Countries citing papers authored by Marco De Zuani

Since Specialization
Citations

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

Fields of papers citing papers by Marco De Zuani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco De Zuani. 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 Marco De Zuani. The network helps show where Marco De Zuani may publish in the future.

Co-authorship network of co-authors of Marco De Zuani

This figure shows the co-authorship network connecting the top 25 collaborators of Marco De Zuani. A scholar is included among the top collaborators of Marco De Zuani 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 Marco De Zuani. Marco De Zuani 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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