Marco Chierici

109 total papers · 5.7k total citations
38 papers, 768 citations indexed

About

Marco Chierici is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Marco Chierici has authored 38 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Neurology and 8 papers in Genetics. Recurrent topics in Marco Chierici's work include Gene expression and cancer classification (7 papers), Neuroblastoma Research and Treatments (6 papers) and Genetic Associations and Epidemiology (4 papers). Marco Chierici is often cited by papers focused on Gene expression and cancer classification (7 papers), Neuroblastoma Research and Treatments (6 papers) and Genetic Associations and Epidemiology (4 papers). Marco Chierici collaborates with scholars based in Italy, United States and Spain. Marco Chierici's co-authors include Cesare Furlanello, Giuseppe Jurman, Margherita Francescatto, Ombretta Melaiu, Aurora Castellano, Doriana Fruci, Renata Boldrini, Franco Locatelli, Valerio Maggio and Alessandro Zandonà and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Marco Chierici

36 papers receiving 753 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 Chierici 285 203 130 120 98 38 768
Ruolin Li 309 1.1× 140 0.7× 90 0.7× 56 0.5× 146 1.5× 53 788
Davide Cangelosi 262 0.9× 133 0.7× 141 1.1× 172 1.4× 166 1.7× 44 686
Jonathan C. Henriksen 227 0.8× 153 0.8× 62 0.5× 68 0.6× 95 1.0× 19 815
Rong Hu 337 1.2× 121 0.6× 160 1.2× 73 0.6× 186 1.9× 35 861
Ge Wu 405 1.4× 154 0.8× 49 0.4× 49 0.4× 116 1.2× 37 879
Shinya Iida 336 1.2× 135 0.7× 32 0.2× 72 0.6× 86 0.9× 47 746
Shaobo Hu 298 1.0× 150 0.7× 46 0.4× 68 0.6× 153 1.6× 52 878
Yujuan Zhang 147 0.5× 196 1.0× 31 0.2× 93 0.8× 137 1.4× 39 666
Jing Zhang 232 0.8× 240 1.2× 53 0.4× 333 2.8× 124 1.3× 32 816
Lei Mao 347 1.2× 53 0.3× 105 0.8× 75 0.6× 71 0.7× 63 804

Countries citing papers authored by Marco Chierici

Since Specialization
Citations

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

Fields of papers citing papers by Marco Chierici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Chierici

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