Luca Marchetti

3.0k citations
99 papers · 1.8k · h-index 23

Impact in

Papers in

    • Gene Regulatory Network Analysis 16
    • DNA and Biological Computing 14
    • Microbial Metabolic Engineering and Bioproduction 9
    • Genomics and Phylogenetic Studies 8
    • Bioinformatics and Genomic Networks 6

Luca Marchetti

94 papers receiving 1.8k citations

Peers

Luca Marchetti
Comparison fields: 5 of 146
  • Biological Psychiatry 48
  • Neurology 132
  • Oncology 303
  • Modeling and Simulation 51
  • Molecular Biology 742
Replace Jiajun Zhang with:
Jiajun Zhang China
Pedro Carmona‐Sáez Spain
Julio Vera Germany
Matan Hofree United States
Christoph Wierling Germany
Teppei Shimamura Japan
T. V. Yakovleva Russia
Masao Nagasaki Japan
Giulia Fiscon Italy
Kanako Saito Japan
Luca Marchetti relative to Jiajun Zhang China Jiajun Zhang's profile →
Citations per field
00.5×3.1×
Jiajun Zhang · 1×
Citations per year

Countries citing papers authored by Luca Marchetti

Since Specialization
Citations

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

Fields of papers citing papers by Luca Marchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Marchetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luca Marchetti Line = papers co-authored together Luca Marchetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020207
2 2013118
3 2017114
4 201993
5 201568
6 202166
7 201555
8 201652
9 201750
10 202046
11 202046
12 200933
13 201732
14 201730
15 200728
16 201625
17 201824
18 202124
19 201124
20 201124

About Luca Marchetti

Luca Marchetti is a scholar working on Molecular Biology, Oncology, Genetics, Computational Theory and Mathematics and Immunology, having authored 99 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (16 papers), DNA and Biological Computing (14 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Genomics and Phylogenetic Studies (8 papers), Bioinformatics and Genomic Networks (6 papers), Immunotherapy and Immune Responses (5 papers), Modular Robots and Swarm Intelligence (5 papers) and Cellular Automata and Applications (5 papers). The work is most often cited by research in Biological Psychiatry (48 citations), Neurology (132 citations), Oncology (303 citations), Modeling and Simulation (51 citations) and Molecular Biology (742 citations). Luca Marchetti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Britta Engelhardt, Corrado Priami, Vincenzo Manca, Marie‐Pier Scott‐Boyer, Luca Iocchi, Silvia Parolo, Daniele Nardi, Lorena Leonardelli, Mario Lauria and Alessandro Napoli. Their work appears in journals such as Scientific Reports, CPT Pharmacometrics & Systems Pharmacology, PLoS ONE, Bioinformatics and Oncotarget.

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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