Fran Supek
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
- Machine Learning in Bioinformatics
- Epigenetics and DNA Methylation
Papers in
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- Cancer Genomics and Diagnostics 17
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- RNA and protein synthesis mechanisms 14
- Genomics and Phylogenetic Studies 12
- Bioinformatics and Genomic Networks 11
- DNA Repair Mechanisms 8
- Gene expression and cancer classification 7
- Machine Learning in Bioinformatics 7
- Co-authors
- Tomislav Šmuc (18 shared papers)Nives Škunca (4 shared papers)Matko Bošnjak (2 shared papers)Ben Lehner (16 shared papers)Rik G.H. Lindeboom (3 shared papers)Kristian Vlahoviček (3 shared papers)Toni Gabaldón (2 shared papers)Belén Miñana (1 shared paper)
- Journals
- Nature Communications (7 papers)Genome biology (6 papers)Nature Genetics (5 papers)PLoS Computational Biology (3 papers)Bioinformatics (2 papers)
- Partner nations
- SpainCroatiaUnited Kingdom
In The Last Decade
Fran Supek
67 papers receiving 9.6k citations
Fran Supek's Hit Papers
Peers
Comparison fields: 5 of 170
- Cancer Research 1.2k
- Molecular Biology 5.7k
- Aging 108
- Genetics 1.3k
- Plant Science 1.3k
Countries citing papers authored by Fran Supek
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
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-authors
The 25 scholars most cited alongside Fran Supek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms Hit paper breakdown → | 2011 | 4662 |
| 2 | A large-scale evaluation of computational protein function prediction Hit paper breakdown → | 2013 | 741 |
| 3 | 2014 | 437 | |
| 4 | 2016 | 368 | |
| 5 | Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition Hit paper breakdown → | 2020 | 309 |
| 6 | 2019 | 307 | |
| 7 | 2016 | 289 | |
| 8 | 2015 | 256 | |
| 9 | 2019 | 206 | |
| 10 | 2020 | 168 | |
| 11 | 2017 | 138 | |
| 12 | 2016 | 117 | |
| 13 | 2005 | 115 | |
| 14 | 1994 | 112 | |
| 15 | 2016 | 93 | |
| 16 | 2004 | 87 | |
| 17 | 2010 | 73 | |
| 18 | 2015 | 62 | |
| 19 | 2007 | 61 | |
| 20 | 2019 | 57 |
About Fran Supek
Fran Supek is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Genetics and Oncology, having authored 69 papers that have together received 9.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (17 papers), RNA and protein synthesis mechanisms (14 papers), Genomics and Phylogenetic Studies (12 papers), Bioinformatics and Genomic Networks (11 papers), DNA Repair Mechanisms (8 papers), Genetic factors in colorectal cancer (7 papers), Gene expression and cancer classification (7 papers) and Machine Learning in Bioinformatics (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (5.7k citations), Aging (108 citations), Genetics (1.3k citations) and Plant Science (1.3k citations). Fran Supek has collaborated with scholars based in Spain, Croatia and United Kingdom. Frequent 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. Their work appears in journals such as Nature Communications, Genome biology, Nature Genetics, PLoS Computational Biology and Bioinformatics.
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.