Ivica Letunić
Impact in
- Endocrinology top 0.1%
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Genomics and Phylogenetic Studies 33
- Bioinformatics and Genomic Networks 16
- Machine Learning in Bioinformatics 7
- Microbial Metabolic Engineering and Bioproduction 6
- RNA and protein synthesis mechanisms 6
- Ecology 10
- Microbial Community Ecology and Physiology 6
- Co-authors
- Peer Bork (40 shared papers)Tobias Doerks (8 shared papers)Lars Juhl Jensen (9 shared papers)Supriya Khedkar (3 shared papers)Michael Kuhn (6 shared papers)Christian von Mering (6 shared papers)Damian Szklarczyk (4 shared papers)Thomas Rattei (3 shared papers)
- Journals
- Nucleic Acids Research (30 papers)Proceedings of the National Academy of Sciences (3 papers)FEBS Letters (2 papers)Molecular Systems Biology (2 papers)Nature Methods (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Ivica Letunić
47 papers receiving 34.6k citations
Ivica Letunić's Hit Papers
Peers
Comparison fields: 5 of 199
- Endocrinology 2.0k
- Molecular Medicine 1.7k
- Molecular Biology 20.0k
- Ecology 6.5k
- Plant Science 8.7k
Countries citing papers authored by Ivica Letunić
This map shows the geographic impact of Ivica Letunić'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 Ivica Letunić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivica Letunić more than expected).
Fields of papers citing papers by Ivica Letunić
This network shows the impact of papers produced by Ivica Letunić. 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 Ivica Letunić. The network helps show where Ivica Letunić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivica Letunić, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation Hit paper breakdown → | 2021 | 6632 |
| 2 | Interactive Tree Of Life (iTOL) v4: recent updates and new developments Hit paper breakdown → | 2019 | 4278 |
| 3 | Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees Hit paper breakdown → | 2016 | 3754 |
| 4 | eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses Hit paper breakdown → | 2018 | 2815 |
| 5 | Interactive Tree Of Life (iTOL): an online tool for phylogenetic tree display and annotation Hit paper breakdown → | 2006 | 2401 |
| 6 | 20 years of the SMART protein domain annotation resource Hit paper breakdown → | 2017 | 1410 |
| 7 | SMART 7: recent updates to the protein domain annotation resource Hit paper breakdown → | 2011 | 1367 |
| 8 | SMART: recent updates, new developments and status in 2015 Hit paper breakdown → | 2014 | 1289 |
| 9 | SMART: recent updates, new developments and status in 2020 Hit paper breakdown → | 2020 | 1259 |
| 10 | Interactive Tree Of Life v2: online annotation and display of phylogenetic trees made easy Hit paper breakdown → | 2011 | 1181 |
| 11 | Interactive Tree of Life (iTOL) v6: recent updates to the phylogenetic tree display and annotation tool Hit paper breakdown → | 2024 | 1095 |
| 12 | The SIDER database of drugs and side effects Hit paper breakdown → | 2015 | 920 |
| 13 | SMART 4.0: towards genomic data integration Hit paper breakdown → | 2003 | 840 |
| 14 | SMART 6: recent updates and new developments Hit paper breakdown → | 2008 | 815 |
| 15 | SMART 5: domains in the context of genomes and networks Hit paper breakdown → | 2005 | 797 |
| 16 | A side effect resource to capture phenotypic effects of drugs Hit paper breakdown → | 2010 | 704 |
| 17 | Recent improvements to the SMART domain-based sequence annotation resource Hit paper breakdown → | 2002 | 542 |
| 18 | 2011 | 411 | |
| 19 | 2011 | 228 | |
| 20 | 2005 | 211 |
About Ivica Letunić
Ivica Letunić is a scholar working on Molecular Biology, Ecology, Genetics, Computational Theory and Mathematics and Ecological Modeling, having authored 48 papers that have together received 34.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (33 papers), Bioinformatics and Genomic Networks (16 papers), Machine Learning in Bioinformatics (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Microbial Community Ecology and Physiology (6 papers), RNA and protein synthesis mechanisms (6 papers), Genetic diversity and population structure (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Endocrinology (2.0k citations), Molecular Medicine (1.7k citations), Molecular Biology (20.0k citations), Ecology (6.5k citations) and Plant Science (8.7k citations). Ivica Letunić has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Peer Bork, Tobias Doerks, Lars Juhl Jensen, Supriya Khedkar, Michael Kuhn, Christian von Mering, Damian Szklarczyk, Thomas Rattei, Jaime Huerta‐Cepas and Daniel R. Mende. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, FEBS Letters, Molecular Systems Biology and Nature Methods.
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.