Davide Heller
Impact in
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Gut microbiota and health
- Cancer Research top 2%
Papers in
-
- Genomics and Phylogenetic Studies 4
- Bioinformatics and Genomic Networks 1
-
- Cell Image Analysis Techniques 1
- Co-authors
- Lars Juhl Jensen (3 shared papers)Peer Bork B (3 shared papers)Damian Szklarczyk (4 shared papers)Sofia Kirke Forslund (3 shared papers)Jaime Huerta‐Cepas (3 shared papers)Christian von Mering (4 shared papers)Michael Kuhn (2 shared papers)Kalliopi P. Tsafou (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Nature Physics (1 paper)BMC Bioinformatics (1 paper)Developmental Cell (1 paper)Bioinformatics (1 paper)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Davide Heller
7 papers receiving 13.4k citations
Davide Heller's Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 5.2k
- Cancer Research 771
- Genetics 1.1k
- Ecology 887
- Plant Science 1.5k
Countries citing papers authored by Davide Heller
This map shows the geographic impact of Davide Heller'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 Davide Heller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Heller more than expected).
Fields of papers citing papers by Davide Heller
This network shows the impact of papers produced by Davide Heller. 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 Davide Heller. The network helps show where Davide Heller may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Heller, 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 | STRING v10: protein–protein interaction networks, integrated over the tree of life Hit paper breakdown → | 2014 | 8343 |
| 2 | eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses Hit paper breakdown → | 2018 | 3276 |
| 3 | eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences Hit paper breakdown → | 2015 | 1626 |
| 4 | 2019 | 171 | |
| 5 | 2016 | 78 | |
| 6 | 2017 | 25 | |
| 7 | 2019 | 1 |
About Davide Heller
Davide Heller is a scholar working on Molecular Biology, Biophysics, Cell Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 7 papers that have together received 13.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Bioinformatics and Genomic Networks (1 paper), Cellular Mechanics and Interactions (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Molecular Biology (5.2k citations), Cancer Research (771 citations), Genetics (1.1k citations), Ecology (887 citations) and Plant Science (1.5k citations). Davide Heller has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Lars Juhl Jensen, Peer Bork B, Damian Szklarczyk, Sofia Kirke Forslund, Jaime Huerta‐Cepas, Christian von Mering, Michael Kuhn, Kalliopi P. Tsafou, Stefan Wyder and Alberto Santos. Their work appears in journals such as Nucleic Acids Research, Nature Physics, BMC Bioinformatics, Developmental Cell 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.