Marco Archetti

4.1k total citations
67 papers, 2.4k citations indexed

About

Marco Archetti is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Sociology and Political Science. According to data from OpenAlex, Marco Archetti has authored 67 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 24 papers in Ecology, Evolution, Behavior and Systematics and 21 papers in Sociology and Political Science. Recurrent topics in Marco Archetti's work include Evolution and Genetic Dynamics (25 papers), Plant and animal studies (22 papers) and Evolutionary Game Theory and Cooperation (21 papers). Marco Archetti is often cited by papers focused on Evolution and Genetic Dynamics (25 papers), Plant and animal studies (22 papers) and Evolutionary Game Theory and Cooperation (21 papers). Marco Archetti collaborates with scholars based in United Kingdom, United States and Switzerland. Marco Archetti's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature reviews. Cancer and Nature Biotechnology.

In The Last Decade

Marco Archetti

64 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marco Archetti United Kingdom	26	823	809	738	580	523	67	2.4k
Erol Akçay United States	24	852 1.0×	655 0.8×	879 1.2×	100 0.2×	261 0.5×	64	2.1k
William C. Ratcliff United States	25	812 1.0×	916 1.1×	261 0.4×	755 1.3×	315 0.6×	67	2.1k
Mark Broom United Kingdom	30	1.5k 1.8×	1.1k 1.3×	945 1.3×	216 0.4×	58 0.1×	160	3.1k
Ashwin Narayan Jayanarayanan India	8	572 0.7×	2.4k 2.9×	627 0.8×	688 1.2×	562 1.1×	11	3.8k
Éva Kisdi Finland	28	2.2k 2.7×	3.1k 3.9×	1.1k 1.4×	237 0.4×	204 0.4×	64	4.0k
Ilan Eshel Israel	28	1.9k 2.3×	2.0k 2.4×	920 1.2×	190 0.3×	106 0.2×	67	3.1k
Joel R. Peck United Kingdom	18	616 0.7×	1.2k 1.4×	515 0.7×	295 0.5×	194 0.4×	32	1.7k
Stefan A.H. Geritz Finland	25	2.7k 3.3×	3.7k 4.6×	1.3k 1.8×	188 0.3×	344 0.7×	54	4.7k
Floyd A. Reed United States	19	419 0.5×	1.5k 1.9×	96 0.1×	726 1.3×	166 0.3×	33	2.8k
Joanna Masel United States	29	285 0.3×	1.3k 1.6×	453 0.6×	2.0k 3.4×	239 0.5×	81	3.6k

Countries citing papers authored by Marco Archetti

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Marco Archetti

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Archetti. A scholar is included among the top collaborators of Marco Archetti 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 Archetti. Marco Archetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fowler, Emily K., Douglas W. Yu, Marco Archetti, et al.. (2025). Female oviposition decisions are influenced by the microbial environment. Journal of Evolutionary Biology. 38(3). 379–390. 1 indexed citations

Koay, Evelyn Siew-Chuan, Victor Kwan Min Lee, Siok‐Bian Ng, et al.. (2025). Sociobiology meets oncology: unraveling altruistic cooperation in cancer cells and its implications. Experimental & Molecular Medicine. 57(1). 30–40.

Archetti, Marco. (2023). Soft selection reduces loss of heterozygosity in asexual reproduction. Journal of Evolutionary Biology. 36(9). 1313–1327.

Arrizabalaga, Julien H., Yiming Liu, Shantu Amin, et al.. (2022). Delivery of Therapeutic miR-148b Mimic via Poly(β Amino Ester) Polyplexes for Post-transcriptional Gene Regulation and Apoptosis of A549 Cells. Langmuir. 38(32). 9833–9843. 6 indexed citations

Archetti, Marco, et al.. (2021). A test of the photoprotection hypothesis for the evolution of autumn colours: Chlorophyll resorption, not anthocyanin production, is correlated with nitrogen translocation. Journal of Evolutionary Biology. 34(9). 1423–1431. 11 indexed citations

Archetti, Marco. (2021). Evidence from automixis with inverted meiosis for the maintenance of sex by loss of complementation. Journal of Evolutionary Biology. 35(1). 40–50. 6 indexed citations

Archetti, Marco. (2021). Collapse of Intra-Tumor Cooperation Induced by Engineered Defector Cells. Cancers. 13(15). 3674–3674. 12 indexed citations

Archetti, Marco, et al.. (2020). A comparative analysis of the photoprotection hypothesis for the evolution of autumn colours. Journal of Evolutionary Biology. 33(12). 1669–1676. 6 indexed citations

Archetti, Marco. (2018). Cooperation between cancer cells. Evolution Medicine and Public Health. 2018(1). 1–1. 3 indexed citations

10.

Archetti, Marco. (2016). Cooperation among cancer cells as public goods games on Voronoi networks. Journal of Theoretical Biology. 396. 191–203. 21 indexed citations

11.

Archetti, Marco. (2013). Evolutionary game theory of growth factor production: implications for tumour heterogeneity and resistance to therapies. British Journal of Cancer. 109(4). 1056–1062. 44 indexed citations

12.

Archetti, Marco. (2013). Evolutionary dynamics of the Warburg effect: Glycolysis as a collective action problem among cancer cells. Journal of Theoretical Biology. 341. 1–8. 35 indexed citations

13.

Archetti, Marco & István Scheuring. (2011). Review: Game theory of public goods in one-shot social dilemmas without assortment. Journal of Theoretical Biology. 299. 9–20. 200 indexed citations

14.

Archetti, Marco. (2009). Evidence from the domestication of apple for the maintenance of autumn colours by coevolution. Proceedings of the Royal Society B Biological Sciences. 276(1667). 2575–2580. 31 indexed citations

15.

Archetti, Marco. (2009). Phylogenetic analysis reveals a scattered distribution of autumn colours. Annals of Botany. 103(5). 703–713. 23 indexed citations

16.

Archetti, Marco, Thomas Döring, Snorre B. Hagen, et al.. (2009). Response to Sinkkonen: Ultraviolet reflectance in autumn leaves and the un-naming of colours. Trends in Ecology & Evolution. 24(5). 237–238. 6 indexed citations

17.

Archetti, Marco. (2008). Decoupling vigour and quality in the autumn colours game: Weak individuals can signal, cheating can pay. Journal of Theoretical Biology. 256(3). 479–484. 6 indexed citations

18.

Ougham, Helen, Howard Thomas, & Marco Archetti. (2008). The adaptive value of leaf colour. New Phytologist. 179(1). 9–13. 19 indexed citations

19.

Grafen, Alan & Marco Archetti. (2008). Natural selection of altruism in inelastic viscous homogeneous populations. Journal of Theoretical Biology. 252(4). 694–710. 72 indexed citations

20.

Archetti, Marco. (2000). The Origin of Autumn Colours by Coevolution. Journal of Theoretical Biology. 205(4). 625–630. 108 indexed citations

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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