Marco Iannaccone

58 total papers · 1.9k total citations
53 papers, 1.5k citations indexed

About

Marco Iannaccone is a scholar working on Molecular Biology, Infectious Diseases and Microbiology. According to data from OpenAlex, Marco Iannaccone has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Infectious Diseases and 10 papers in Microbiology. Recurrent topics in Marco Iannaccone's work include Antimicrobial Peptides and Activities (8 papers), Tuberculosis Research and Epidemiology (7 papers) and Genetic and phenotypic traits in livestock (5 papers). Marco Iannaccone is often cited by papers focused on Antimicrobial Peptides and Activities (8 papers), Tuberculosis Research and Epidemiology (7 papers) and Genetic and phenotypic traits in livestock (5 papers). Marco Iannaccone collaborates with scholars based in Italy, Germany and Russia. Marco Iannaccone's co-authors include Rosanna Capparelli, Domenico Iannelli, Daniela Palumbo, Nunzia Nocerino, Stefan H. E. Kaufmann, Federico Capuano, Anca Dorhoi, Chiara Medaglia, Rosanna Capparelli and Marianna Parlato and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Scientific Reports.

In The Last Decade

Marco Iannaccone

52 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Marco Iannaccone 559 248 246 244 223 53 1.5k
Hengan Wang 447 0.8× 348 1.4× 294 1.2× 205 0.8× 339 1.5× 58 1.3k
Changmin Hu 577 1.0× 462 1.9× 334 1.4× 422 1.7× 209 0.9× 104 1.8k
Qiong Liu 721 1.3× 249 1.0× 215 0.9× 389 1.6× 139 0.6× 74 1.6k
Gregory P. Harhay 702 1.3× 123 0.5× 196 0.8× 167 0.7× 237 1.1× 60 1.6k
Viswas Konasagara Nagaleekar 597 1.1× 266 1.1× 193 0.8× 268 1.1× 223 1.0× 60 1.4k
Kyung‐Yeol Lee 697 1.2× 265 1.1× 144 0.6× 103 0.4× 117 0.5× 51 1.5k
Yaxian Yan 596 1.1× 371 1.5× 352 1.4× 256 1.0× 426 1.9× 75 1.6k
Carol G. Chitko-McKown 446 0.8× 301 1.2× 261 1.1× 239 1.0× 89 0.4× 72 1.7k
Yasushi Kataoka 580 1.0× 148 0.6× 226 0.9× 288 1.2× 81 0.4× 71 1.7k
Shinya Nagai 400 0.7× 266 1.1× 238 1.0× 344 1.4× 166 0.7× 56 1.4k

Countries citing papers authored by Marco Iannaccone

Since Specialization
Citations

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

Fields of papers citing papers by Marco Iannaccone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Iannaccone

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