Damian Szklarczyk
- Molecular Biology top 0.02%
- Bioinformatics and Genomic Networks 24
- Genomics and Phylogenetic Studies 13
- Machine Learning in Bioinformatics 7
- Gene expression and cancer classification 7
- Biomedical Text Mining and Ontologies 5
- RNA and protein synthesis mechanisms 5
- Cancer Research top 0.05%
- Immunology top 0.2%
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods 5
- Pharmacology top 0.05%
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- Advanced Proteomics Techniques and Applications 9
- Co-authors
- Christian von MeringLars Juhl JensenPeer BorkMilan SimonovicJaime Huerta‐CepasNadezhda T. DonchevaMichael KuhnStefan Wyder
- Partner nations
- SwitzerlandDenmarkGermany
In The Last Decade
Damian Szklarczyk
40 papers receiving 50.6k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Molecular Biology 31.9k
- Cancer Research 6.7k
- Immunology 4.8k
- Computational Theory and Mathematics 3.5k
- Pharmacology 1.8k
Countries citing papers authored by Damian Szklarczyk
This map shows the geographic impact of Damian Szklarczyk'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 Damian Szklarczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damian Szklarczyk more than expected).
Fields of papers citing papers by Damian Szklarczyk
This network shows the impact of papers produced by Damian Szklarczyk. 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 Damian Szklarczyk. The network helps show where Damian Szklarczyk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Damian Szklarczyk, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | The STRING database in 2025: protein networks with directionality of regulationbreakdown → | 2024 | 93 |
| 4 | 2023 | 1 | |
| 5 | eggNOG 6.0: enabling comparative genomics across 12 535 organismsbreakdown → | 2022 | 144 |
| 6 | 2022 | 99 | |
| 7 | 2021 | 135 | |
| 8 | 2019 | 32 | |
| 9 | 2018 | 103 | |
| 10 | STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasetsbreakdown → | 2018 | 11663 |
| 11 | The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessiblebreakdown → | 2016 | 5222 |
| 12 | eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequencesbreakdown → | 2015 | 1528 |
| 13 | STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity databreakdown → | 2015 | 1140 |
| 14 | 2015 | 42 | |
| 15 | 2015 | 21 | |
| 16 | eggNOG v4.0: nested orthology inference across 3686 organismsbreakdown → | 2013 | 492 |
| 17 | STRING v9.1: protein-protein interaction networks, with increased coverage and integrationbreakdown → | 2012 | 3505 |
| 18 | 2011 | 224 | |
| 19 | 2010 | 264 | |
| 20 | 2009 | 208 |
About Damian Szklarczyk
Damian Szklarczyk is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics, having authored 43 papers that have together received 51.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (24 papers), Genomics and Phylogenetic Studies (13 papers), Advanced Proteomics Techniques and Applications (9 papers), Machine Learning in Bioinformatics (7 papers), Gene expression and cancer classification (7 papers), Biomedical Text Mining and Ontologies (5 papers), Computational Drug Discovery Methods (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Molecular Biology (31.9k citations), Cancer Research (6.7k citations) and Immunology (4.8k citations). Damian Szklarczyk has collaborated with scholars based in Switzerland, Denmark and Germany. Frequent co-authors include Christian von Mering, Lars Juhl Jensen, Peer Bork, Milan Simonovic, Jaime Huerta‐Cepas, Nadezhda T. Doncheva, Michael Kuhn, Stefan Wyder, Annika L. Gable and Alexander Röth. Their work appears in journals such as Science, Nucleic Acids Research and Molecular Cell.
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.