Fran Supek

14.4k total citations · 1 hit paper
57 papers, 7.3k citations indexed

About

Fran Supek is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Fran Supek has authored 57 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 17 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Fran Supek's work include Cancer Genomics and Diagnostics (17 papers), Genomics and Phylogenetic Studies (15 papers) and RNA and protein synthesis mechanisms (13 papers). Fran Supek is often cited by papers focused on Cancer Genomics and Diagnostics (17 papers), Genomics and Phylogenetic Studies (15 papers) and RNA and protein synthesis mechanisms (13 papers). Fran Supek collaborates with scholars based in Spain, Croatia and United Kingdom. Fran Supek's co-authors include Tomislav Šmuc, Nives Škunca, Matko Bošnjak, Ben Lehner, Rik G.H. Lindeboom, Kristian Vlahoviček, Toni Gabaldón, Belén Miñana, Juan Valcárcel and Michiel Vermeulen and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Fran Supek

56 papers receiving 7.2k citations

Hit Papers

REVIGO Summarizes and Visualizes Long Lists of Gene Ontol... 2011 2026 2016 2021 2011 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fran Supek Spain 28 4.5k 1.2k 1.2k 1.1k 480 57 7.3k
Heinz Himmelbauer Germany 32 3.5k 0.8× 1.4k 1.2× 1.3k 1.1× 637 0.6× 397 0.8× 129 5.7k
Nicolas Bray United States 14 5.8k 1.3× 1.5k 1.2× 1.2k 1.0× 1.1k 1.0× 910 1.9× 17 8.9k
M. Mar Albà Spain 39 4.0k 0.9× 942 0.8× 850 0.7× 727 0.7× 521 1.1× 80 5.7k
Yijun Ruan United States 43 6.4k 1.4× 1.7k 1.4× 1.3k 1.1× 1.1k 1.0× 610 1.3× 106 9.0k
Arend Sidow United States 36 6.5k 1.5× 1.2k 1.0× 2.4k 2.0× 894 0.8× 440 0.9× 62 8.6k
Nils Blüthgen Germany 36 5.2k 1.2× 1.8k 1.5× 1.1k 0.9× 752 0.7× 567 1.2× 114 7.9k
Carsten Russ United States 35 5.7k 1.3× 796 0.7× 2.0k 1.7× 1.4k 1.3× 308 0.6× 56 8.3k
Dapeng Zhang China 45 3.5k 0.8× 1.5k 1.2× 860 0.7× 512 0.5× 729 1.5× 178 6.4k
Yutaka Suzuki Japan 50 6.1k 1.4× 1.2k 1.0× 1.3k 1.1× 1.0k 1.0× 1.4k 2.9× 318 9.8k
Ping Liang United States 42 3.7k 0.8× 898 0.7× 1.0k 0.9× 440 0.4× 379 0.8× 151 5.5k

Countries citing papers authored by Fran Supek

Since Specialization
Citations

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

Fields of papers citing papers by Fran Supek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fran Supek

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

All Works

20 of 20 papers shown
1.
Khalil, Ahmed Ibrahim Samir & Fran Supek. (2025). DiffInvex identifies evolutionary shifts in driver gene repertoires during tumorigenesis and chemotherapy. Nature Communications. 16(1). 4209–4209.
2.
Supek, Fran, et al.. (2024). Copy number losses of oncogenes and gains of tumor suppressor genes generate common driver mutations. Nature Communications. 15(1). 6139–6139. 7 indexed citations
3.
Supek, Fran, et al.. (2024). Genome-scale quantification and prediction of pathogenic stop codon readthrough by small molecules. Nature Genetics. 56(9). 1914–1924. 12 indexed citations
4.
Supek, Fran, et al.. (2024). Cell cycle gene alterations associate with a redistribution of mutation risk across chromosomal domains in human cancers. Nature Cancer. 5(2). 330–346. 10 indexed citations
5.
García‐Cao, Isabel, et al.. (2021). Loss of the abasic site sensor HMCES is synthetic lethal with the activity of the APOBEC3A cytosine deaminase in cancer cells. PLoS Biology. 19(3). e3001176–e3001176. 23 indexed citations
6.
Park, Solip, Fran Supek, & Ben Lehner. (2021). Higher order genetic interactions switch cancer genes from two-hit to one-hit drivers. Nature Communications. 12(1). 7051–7051. 13 indexed citations
7.
Mas-Ponte, David & Fran Supek. (2020). DNA mismatch repair promotes APOBEC3-mediated diffuse hypermutation in human cancers. Nature Genetics. 52(9). 958–968. 50 indexed citations
8.
Lindeboom, Rik G.H., Michiel Vermeulen, Ben Lehner, & Fran Supek. (2019). The impact of nonsense-mediated mRNA decay on genetic disease, gene editing and cancer immunotherapy. Nature Genetics. 51(11). 1645–1651. 169 indexed citations
9.
Mas-Ponte, David, et al.. (2019). Passenger mutations accurately classify human tumors. PLoS Computational Biology. 15(4). e1006953–e1006953. 34 indexed citations
10.
Levatić, Jurica, Ivana Perković, Lidija Uzelac, et al.. (2018). Machine learning prioritizes synthesis of primaquine ureidoamides with high antimalarial activity and attenuated cytotoxicity. European Journal of Medicinal Chemistry. 146. 651–667. 10 indexed citations
11.
Levatić, Jurica, et al.. (2017). QSAR based synthesis of novel primaquine ureidoamides. 200. 1 indexed citations
12.
Supek, Fran & Ben Lehner. (2017). Clustered Mutation Signatures Reveal that Error-Prone DNA Repair Targets Mutations to Active Genes. Cell. 170(3). 534–547.e23. 120 indexed citations
13.
Supek, Fran & Nives Škunca. (2016). Visualizing GO Annotations. Methods in molecular biology. 1446. 207–220. 10 indexed citations
14.
Supek, Fran. (2015). The Code of Silence: Widespread Associations Between Synonymous Codon Biases and Gene Function. Journal of Molecular Evolution. 82(1). 65–73. 54 indexed citations
15.
Brbić, Maria, Tobias Warnecke, Anita Kriško, & Fran Supek. (2015). Global Shifts in Genome and Proteome Composition Are Very Tightly Coupled. Genome Biology and Evolution. 7(6). 1519–1532. 18 indexed citations
16.
Kriško, Anita, et al.. (2014). Inferring gene function from evolutionary change in signatures of translation efficiency. Genome biology. 15(3). R44–R44. 40 indexed citations
17.
Škunca, Nives, Matko Bošnjak, Anita Kriško, et al.. (2013). Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships. PLoS Computational Biology. 9(1). e1002852–e1002852. 32 indexed citations
18.
Supek, Fran, Matko Bošnjak, Nives Škunca, & Tomislav Šmuc. (2011). REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms. PLoS ONE. 6(7). e21800–e21800. 4349 indexed citations breakdown →
19.
Supek, Fran, Marko Marjanović, Maja Buljubašić, et al.. (2011). Could LogP be a principal determinant of biological activity in 18-crown-6 ethers? Synthesis of biologically active adamantane-substituted diaza-crowns. European Journal of Medicinal Chemistry. 46(8). 3444–3454. 26 indexed citations
20.
Supek, Fran, et al.. (2010). Translational Selection Is Ubiquitous in Prokaryotes. PLoS Genetics. 6(6). e1001004–e1001004. 67 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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