Marco Archetti
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth 12
-
- Plant and animal studies 22
- Safety Research top 1%
- Experimental Behavioral Economics Studies 6
- Genetics top 2%
- Evolution and Genetic Dynamics 25
-
- Evolutionary Game Theory and Cooperation 21
-
- Microtubule and mitosis dynamics 6
-
- RNA and protein synthesis mechanisms 6
-
- Evolutionary Psychology and Human Behavior 6
- Co-authors
- István ScheuringKenneth J. PientaThomas DöringSimon R. LeatherAlan GrafenDaniela A. FerraroGerhard ChristoforiNaomi E. Pierce
- Journals
- Journal of Theoretical Biology (14 papers)Journal of Evolutionary Biology (13 papers)Evolution (4 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Marco Archetti
64 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 150
- Modeling and Simulation 257
- Ecology, Evolution, Behavior and Systematics 738
- Safety Research 279
- Genetics 809
- Sociology and Political Science 823
Countries citing papers authored by Marco Archetti
This map shows the geographic impact of Marco Archetti'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 Archetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Archetti more than expected).
Fields of papers citing papers by Marco Archetti
This network shows the impact of papers produced by Marco Archetti. 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 Archetti. The network helps show where Marco Archetti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco Archetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 6 | |
| 9 | 2016 | 9 | |
| 10 | 2012 | 32 | |
| 11 | 2011 | 200 | |
| 12 | 2011 | 8 | |
| 13 | 2010 | 15 | |
| 14 | 2009 | 31 | |
| 15 | 2009 | 23 | |
| 16 | 2009 | 69 | |
| 17 | 2008 | 19 | |
| 18 | 2007 | 22 | |
| 19 | 2006 | 7 | |
| 20 | 2004 | 54 |
About Marco Archetti
Marco Archetti is a scholar working on Modeling and Simulation, Ecology, Evolution, Behavior and Systematics, Genetics, Safety Research and Cell Biology, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (25 papers), Plant and animal studies (22 papers), Evolutionary Game Theory and Cooperation (21 papers), Mathematical Biology Tumor Growth (12 papers), Experimental Behavioral Economics Studies (6 papers), Microtubule and mitosis dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Evolutionary Psychology and Human Behavior (6 papers). The work is most often cited by research in Modeling and Simulation (257 citations), Ecology, Evolution, Behavior and Systematics (738 citations), Safety Research (279 citations), Genetics (809 citations) and Sociology and Political Science (823 citations). Marco Archetti has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include István Scheuring, Kenneth J. Pienta, Thomas Döring, Simon R. Leather, Alan Grafen, Daniela A. Ferraro, Gerhard Christofori, Naomi E. Pierce, Douglas W. Yu and Sam P. Brown. Their work appears in journals such as Journal of Theoretical Biology, Journal of Evolutionary Biology, Evolution, Proceedings of the Royal Society B Biological Sciences and PLoS ONE.
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.